Publications

Publications HAL de la structure 128611

2024

Journal articles

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Yoba Kande, Ndague Diogoul, Patrice Brehmer, Sophie Dabo-Niang, Papa Ngom, et al.. Demonstrating the relevance of spatial-functional statistical analysis in marine ecological studies : the case of environmental variations in micronektonic layers. Ecological Informatics, 2024, 81, pp.102547. ⟨10.1016/j.ecoinf.2024.102547⟩. ⟨hal-04507879⟩
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https://inria.hal.science/hal-04507879/file/1-s2.0-S157495412400089X-main.pdf BibTex
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Mélanie Lambert, Samy Jambon, Mohamed A. Bouhlel, Sabine Depauw, Julie Vrevin, et al.. Induction of AML cell differentiation using HOXA9/DNA binding inhibitors as a potential therapeutic option for HOXA9-dependent AML.. HemaSphere, 2024, HemaSphere, 8 (5), pp.e77. ⟨10.1002/hem3.77⟩. ⟨hal-04603215⟩
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https://hal.univ-lille.fr/hal-04603215/file/HemaSphere%20-%202024%20-%20Lambert%20-%20Induction%20of%20AML%20cell%20differentiation%20using%20HOXA9%20DNA%20binding%20inhibitors%20as%20a%20potential.pdf BibTex
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Violeta Raverdy, Federica Tavaglione, Estelle Chatelain, Robert Caiazzo, Chiara Saponaro, et al.. Performance of non-invasive tests for liver fibrosis resolution after bariatric surgery. Metabolism, 2024, 153, pp.155790. ⟨10.1016/j.metabol.2024.155790⟩. ⟨hal-04525423⟩
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Sophie Dabo-Niang, Maria J. Esteban, Colette Guillopé, Marie-Françoise Roy. Aspects of the gender gap in Mathematics. European Mathematical Society Magazine, 2024, 131, pp.22-31. ⟨10.4171/mag/178⟩. ⟨hal-04278806⟩
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https://hal.science/hal-04278806/file/gendergapinmathematics_10november.pdf BibTex
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Antoine Picard-Weibel, Gabriel Capson-Tojo, Benjamin Guedj, Roman Moscoviz. Bayesian uncertainty quantification for anaerobic digestion models. Bioresource Technology, 2024, 394, pp.130147. ⟨10.1016/j.biortech.2023.130147⟩. ⟨hal-04461829⟩
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https://hal.inrae.fr/hal-04461829/file/main_rev.pdf BibTex
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Paul Aimé Latsouck Faye, Elodie Brunel, Thomas Claverie, Solym Mawaki Manou-Abi, Sophie Dabo-Niang. Automatic geomorphological mapping using ground truth data with coverage sampling and random forest algorithms. Earth Science Informatics, In press, ⟨10.1007/s12145-024-01347-x⟩. ⟨hal-04624799⟩
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https://hal.science/hal-04624799/file/Revision_ESI-2.pdf BibTex

Conference papers

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Violaine Courrier, Christophe Biernacki, Cristian Preda, Benjamin Vittrant. Étude comparative de modèles de clustering de séries temporelles multivariées issues d’objets médicaux connectés. EGC 2024 – 24ème Conférence Francophone sur l’Extraction et Gestion des Connaissances, Jan 2024, Dijon, France. ⟨pasteur-04364645v2⟩
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https://riip.hal.science/pasteur-04364645/file/comparaison.pdf BibTex

Poster communications

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Antoine Picard-Weibel, Gabriel Capson-Tojo, Benjamin Guedj, Roman Moscoviz. VarBUQ: Bayesian uncertainty quantification for anaerobic digestion models. 18th IWA World Conference on Anaerobic Digestion, Jun 2024, Istanbul, Turkey. ⟨hal-04644598⟩
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Preprints, Working Papers, …

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Antoine Picard-Weibel, Gabriel Capson-Tojo, Benjamin Guedj, Roman Moscoviz. Bayesian Uncertainty Quantification for Anaerobic Digestion models. 2024. ⟨hal-04592670⟩
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https://hal.science/hal-04592670/file/UQ_AD_preprint.pdf BibTex
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Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi. Closed-form Filtering for Non-linear Systems. 2024. ⟨hal-04458936⟩
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https://inria.hal.science/hal-04458936/file/CANTELOBRE_PSD_FILTERING.pdf BibTex
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Paul Viallard, Maxime Haddouche, Umut Şimşekli, Benjamin Guedj. Tighter Generalisation Bounds via Interpolation. 2024. ⟨hal-04456925⟩
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https://arxiv.org/pdf/2402.05101 BibTex
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Maxime Haddouche, Paul Viallard, Umut Şimşekli, Benjamin Guedj. A PAC-Bayesian Link Between Generalisation and Flat Minima. 2024. ⟨hal-04455639⟩
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https://hal.science/hal-04455639/file/PLS_inequalities_x_PAC_Bayes.pdf BibTex
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Etienne Krönert, Dalila Hattab, Alain Celisse. Breakpoint based online anomaly detection. 2024. ⟨hal-04440349⟩
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https://hal.science/hal-04440349/file/rhgddzmvjrpdbwfsdcpvnwwghsgxxhpm.pdf BibTex
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Hemant Tyagi, Denis Efimov. Learning linear dynamical systems under convex constraints. 2024. ⟨hal-04394297⟩
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https://hal.science/hal-04394297/file/2303.15121.pdf BibTex
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Ernesto Araya Valdivia, Hemant Tyagi. Graph Matching via convex relaxation to the simplex. 2024. ⟨hal-04394319⟩
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https://hal.science/hal-04394319/file/2310.20609.pdf BibTex

2023

Journal articles

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Mohamed-Salem Ahmed, Mamadou N’diaye, Mohammed Kadi Attouch, Sophie Dabo-Niang. k-nearest neighbors prediction and classification for spatial data. Journal of Spatial Econometrics, 2023, 4 (1), pp.12. ⟨10.1007/s43071-023-00041-2⟩. ⟨hal-04392790⟩
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https://arxiv.org/pdf/1806.00385 BibTex
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Violetta Raverdy, Estelle Chatelain, Guillaume Lasailly, Robert Caiazzo, Jimmy Vandel, et al.. Combining diabetes, sex, and menopause as meaningful clinical features associated with NASH and liver fibrosis in individuals with class II and III obesity: A retrospective cohort study.. Obesity, 2023, Obesity, 31 (12), pp.3066-3076. ⟨10.1002/oby.23904⟩. ⟨hal-04402748⟩
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https://hal.univ-lille.fr/hal-04402748/file/Obesity%20-%202023%20-%20Raverdy%20-%20Combining%20diabetes%20sex%20and%20menopause%20as%20meaningful%20clinical%20features%20associated%20with%20NASH%20and.pdf BibTex
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Ringo Thomas Tchouya, Stefano Nasini, Sophie Dabo-Niang. An estimation approach for the influential–imitator diffusion. Computers and Operations Research, 2023, 159, pp.106315. ⟨10.1016/j.cor.2023.106315⟩. ⟨hal-04392806⟩
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Issam-Ali Moindjié, Sophie Dabo-Niang, Cristian Preda. Classification of multivariate functional data on different domains with Partial Least Squares approaches. Statistics and Computing, 2023, pp.5. ⟨10.1007/s11222-023-10324-1⟩. ⟨hal-03908634v3⟩
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https://hal.science/hal-03908634/file/Classification_of_multivariate_functional_data_on_different_domains_with_Partial_Least_Squares_approaches__version_2_%20%283%29.pdf BibTex
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Ning Sun, Zoran Bursac, Ian Dryden, Roberto Lucchini, Sophie Dabo-Niang, et al.. Bayesian spatiotemporal modelling for disease mapping: an application to preeclampsia and gestational diabetes in Florida, United States. Environmental Science and Pollution Research, 2023, 30 (50), pp.109283-109298. ⟨10.1007/s11356-023-29953-0⟩. ⟨hal-04392782⟩
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Guillaume Braun, Hemant Tyagi. Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power Method. Information and Inference, 2023, 12 (3), pp.1830-1866. ⟨10.1093/imaiai/iaad006⟩. ⟨hal-03876871⟩
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https://arxiv.org/pdf/2205.12104 BibTex
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Ernesto Araya, Eglantine Karlé, Hemant Tyagi. Dynamic Ranking and Translation Synchronization. Information and Inference, 2023, 12 (3), pp.2224-2266. ⟨10.1093/imaiai/iaad029⟩. ⟨hal-03876870⟩
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https://arxiv.org/pdf/2207.01455 BibTex
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Eglantine Karlé, Hemant Tyagi. Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method. Journal of Machine Learning Research, 2023, 24 (269), pp.1–57. ⟨hal-03519271⟩
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https://inria.hal.science/hal-03519271/file/Dynamic_BTL_NN.pdf BibTex
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Esther Martin de Fourchambault, Nathalie Callens, Jean-Michel Saliou, Marie Fourcot, Oceane Delos, et al.. Hepatitis C virus alters the morphology and function of peroxisomes. Frontiers in Microbiology, 2023, 14, pp.1254728. ⟨10.3389/fmicb.2023.1254728⟩. ⟨hal-04245832⟩
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https://hal.science/hal-04245832/file/fmicb-14-1254728-1.pdf BibTex
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Christophe Biernacki, Julien Jacques, C. Keribin. A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges. Journal of Classification, 2023, ⟨10.1007/s00357-023-09441-3⟩. ⟨hal-03769727⟩
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https://hal.science/hal-03769727/file/Coclustering_survey.pdf BibTex
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Julie Dubois‐chevalier, Céline Gheeraert, Alexandre Berthier, Clémence Boulet, Vanessa Dubois, et al.. An extended transcription factor regulatory network controls hepatocyte identity. EMBO Reports, 2023, 24 (9), ⟨10.15252/embr.202357020⟩. ⟨hal-04169341⟩
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https://hal.science/hal-04169341/file/embr.202357020.pdf BibTex
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Hélène Sarter, Guillaume Savoye, Guillemette Marot, Delphine Ley, Dominique Turck, et al.. A Novel 8-Predictors Signature to Predict Complicated Disease Course in Pediatric-onset Crohn’s Disease: A Population-based Study. Inflammatory Bowel Diseases, 2023, ⟨10.1093/ibd/izad090⟩. ⟨hal-04124611⟩
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Antonin Schrab, Ilmun Kim, Mélisande Albert, Béatrice Laurent, Benjamin Guedj, et al.. MMD Aggregated Two-Sample Test. Journal of Machine Learning Research, 2023, 24 (194), pp.1-81. ⟨hal-03408976v3⟩
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https://inria.hal.science/hal-03408976/file/21-1289.pdf BibTex
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Camille Frévent, Mohamed-Salem Ahmed, Sophie Dabo-Niang, Michaël Genin. Investigating spatial scan statistics for multivariate functional data. Journal of the Royal Statistical Society: Series C Applied Statistics, 2023, 72 (2), pp.450-475. ⟨10.1093/jrsssc/qlad017⟩. ⟨hal-03527471⟩
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https://arxiv.org/pdf/2103.14401 BibTex
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Maxime Haddouche, Benjamin Guedj. PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales. Transactions on Machine Learning Research Journal, 2023. ⟨hal-03815101v3⟩
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https://inria.hal.science/hal-03815101/file/main.pdf BibTex
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Quentin Grimonprez, Samuel Blanck, Alain Celisse, Guillemette Marot. MLGL: An R package implementing correlated variable selection by hierarchical clustering and group-Lasso. Journal of Statistical Software, 2023, 106 (3), ⟨10.18637/jss.v106.i03⟩. ⟨hal-01857242v2⟩
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https://inria.hal.science/hal-01857242/file/MLGL2022.pdf BibTex
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Wilfried Heyse, Vincent Vandewalle, Guillemette Marot, Philippe Amouyel, Christophe Bauters, et al.. Identification of patient subtypes based on protein expression for prediction of heart failure after myocardial infarction. iScience, 2023, 26 (3), pp.106171. ⟨10.1016/j.isci.2023.106171⟩. ⟨inserm-04191363⟩
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https://inserm.hal.science/inserm-04191363/file/1-s2.0-S2589004223002481-main.pdf BibTex
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Sébastien Sanges, Lisa Rice, Ly Tu, Eleanor Valenzi, Jean-Luc Cracowski, et al.. Biomarkers of haemodynamic severity of systemic sclerosis-associated pulmonary arterial hypertension by serum proteome analysis. Annals of the Rheumatic Diseases, 2023, 82 (3), pp.ard-2022-223237. ⟨10.1136/ard-2022-223237⟩. ⟨hal-03927525⟩
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https://inria.hal.science/hal-03927525/file/main.pdf BibTex
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Stéphane Bouka, Sophie Dabo-Niang, Guy Martial Nkiet. On estimation and prediction in spatial functional linear regression model. Lithuanian Mathematical Journal, 2023, 63 (1), pp.13-30. ⟨10.1007/s10986-023-09586-z⟩. ⟨hal-04392795⟩
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https://arxiv.org/pdf/1908.02143 BibTex
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Tzung Hsuen Khoo, Dharini Pathmanathan, Sophie Dabo-Niang. Spatial Autocorrelation of Global Stock Exchanges Using Functional Areal Spatial Principal Component Analysis. Mathematics , 2023, 11 (3), pp.674. ⟨10.3390/math11030674⟩. ⟨hal-04392798⟩
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https://hal.science/hal-04392798/file/mathematics-11-00674-v2.pdf BibTex
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Sophie Dabo-Niang, Emad Darwich, Leila Hamdad, Baba Thiam. Spatial Relative Risk of Upper Aerodigestive Tract Cancers Incidence in French Northern Region. SN Computer Science, 2023, 4 (1), pp.30. ⟨10.1007/s42979-022-01426-0⟩. ⟨hal-03861906⟩
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Conference papers

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Paul Viallard, Maxime Haddouche, Umut Şimşekli, Benjamin Guedj. Learning via Wasserstein-Based High Probability Generalisation Bounds. NeurIPS 2023 Workshop on Optimal Transport and Machine Learning (OTML’23), Dec 2023, New Orleans, United States. ⟨10.48550/arXiv.2306.04375⟩. ⟨hal-04273718⟩
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https://hal.science/hal-04273718/file/2306.04375%20%281%29.pdf BibTex
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Christophe Biernacki. Levels Merging in the Latent Class Model. CFE-CMStatistics 2023, Dec 2023, Berlin, Germany. ⟨hal-04370783⟩
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https://inria.hal.science/hal-04370783/file/CMstat_slides_dec2023.pdf BibTex
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Sophie Dabo-Niang. Spatial Functional Data Modeling through Gaussian Processes. Journ ́ees de Statistique Math ́ematique et Data Science (JSMDS), Nov 2023, Hammamet, Tunisia. ⟨hal-04507872⟩
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Christophe Biernacki. Digital Science for Disability Overview of the initiatives undertaken by Inria. Inria/IIT DELHI workshop, Oct 2023, New delhi, India. ⟨hal-04370905⟩
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https://inria.hal.science/hal-04370905/file/Disability_Biernacki_Oct2023.pdf BibTex
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Sophie Dabo-Niang. On the enlightened path of an African woman in mathematics. Black Heroes of Mathematics Conference, Oct 2023, Edinbourg, Ecosse, United Kingdom. ⟨hal-04507829⟩
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Sophie Dabo-Niang. Cluster detection for high dimensional spatial data. Math4ML Workshop 2023, AIMS (African Institute of Mathematical Science), Sep 2023, Accra (Ghana), Ghana. ⟨hal-04507867⟩
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Sophie Dabo-Niang. A Global Perspective, The African perspective about the Gender Gap in Science. ICIAM 2023 mini-symposium Gender Equality in Mathematics, Aug 2023, Tokyo (JP), Japan. ⟨hal-04507875⟩
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Christophe Biernacki, Matthieu Marbac, Vincent Vandewalle. Clustering: from modeling to visualizing Mapping clusters as spherical Gaussians. Working Group on Model-Based Clustering, Jul 2023, Pittsburg, Etats-Unis, United States. ⟨hal-04370893⟩
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https://inria.hal.science/hal-04370893/file/Gaussian_Based_Visualization_of_Gaussian_and_Non_Gaussian_Based_Clustering.pdf BibTex
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Christophe Biernacki, Vincent Vandewalle, Matthieu Marbac. Clustering: from modeling to visualizing Mapping clusters as spherical Gaussians. SFC 2023 – Rencontres de la Société Francophone de Classification, Jul 2023, Strasbourg, France. ⟨hal-04370886⟩
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https://inria.hal.science/hal-04370886/file/Biernacki_SFC2023.pdf BibTex
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C Boinay, C Biernacki, C Preda. Graphs in OT Testing Graph Abnormality Application to a Real OT Data Set Ongoing & Future Works References. 54e Journées de Statistique, Jul 2023, Bruxelles, Belgium. ⟨hal-04370878⟩
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https://inria.hal.science/hal-04370878/file/Biernacki_et_al_JDS2023.pdf BibTex
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Cristian Preda. Learning with categorical functional data. The Tenth Congress of Romanian Mathematicians, 2023, Romanian Academy, Jun 2023, Pitesti, Romania. ⟨hal-04393613⟩
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C Biernacki. Levels Merging in the Latent Class Model. Statistical Learning Sustainability and Impact Evaluation, Jun 2023, Ancona (IT), Italy. ⟨hal-04370900⟩
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https://inria.hal.science/hal-04370900/file/SIS_slides.pdf BibTex
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Sophie Dabo-Niang. Investigating spatial scan statistics for multivariate functional data. SSPA’23 – Symposium on Statistics, Probability and Their Applications, Jun 2023, Oujda, Morocco. ⟨hal-04507849⟩
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Sophie Dabo-Niang. The gender gap in Maths in Africa. African Women In Mathematics (AWMA) days, African Women In Mathematics (AWMA), May 2023, Ouagadoudou, Burkina Faso. ⟨hal-04507857⟩
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Sophie Dabo-Niang. Bridging FDA Learning : to MEMS instrumentation for cell
characterization. Theory to Practice (T2P), AIMS (African Institute of Mathematical Science), Apr 2023, Kigali, Rwanda. ⟨hal-04507863⟩
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Felix Biggs, Benjamin Guedj. Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty. AISTATS 2023 – 26th International Conference on Artificial Intelligence and Statistics, Apr 2023, Valencia, Spain. ⟨hal-03953307⟩
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https://arxiv.org/pdf/2210.11289 BibTex
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Christophe Biernacki, Claire Boyer, Gilles Celeux, Julie Josse, Fabien Laporte, et al.. Impact of missing data on mixtures and clustering with illustrations in Biology and Medicine. SPSR 2023 – The 24th annual Conference of the Romanian Society of Probability and Statistics, Apr 2023, Bucarest, Romania. ⟨hal-04370870⟩
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https://inria.hal.science/hal-04370870/file/slidesBucarest21avril2023.pdf BibTex
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Cristian Preda, Quentin Grimonprez. Linear approximation for multivariate categorical functional data analysis. THE 24th CONFERENCE of the ROMANIAN SOCIETY of PROBABILITY and STATISTICS, Apr 2023, Bucharest, Romania. ⟨hal-04393621⟩
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Sophie Dabo-Niang. Bridging FDA Learning : to MEMS instrumentation for cell characterization. 30 MIN SCIENCES, Apr 2023, Lille, France. ⟨hal-04507860⟩
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Sophie Dabo-Niang. Investigating spatial scan statistics for multivariate functional data. International Conference on Recent Developments in Mathematical Modeling in Biology (3MC), Mar 2023, Potchefstroom, South Africa. ⟨hal-04507870⟩
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Sophie Dabo-Niang. The global survey of scientists Focus on Mathematics and Africa. Standing Committee for Gender Equality in Science (SCGES), Standing Committee for Gender Equality in Science, Feb 2023, Paris, France. ⟨hal-04507854⟩
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Book sections

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Jacqueline Etay, Colette Guillopé, Sophie Trélat, Isabelle Vauglin, Anne Schuhl, et al.. Vécu des femmes et des hommes travaillant dans le milieu académique français pendant le confinement de 2020. Amélie Keyser-Verreault (dir); Florence Pasche-Guignard (dir). Maternités académiques et pandémie : lieux, temps et réseaux entre pressions et résiliences., Presses de l’Université du Québec, 2023, 9782760558267. ⟨hal-04528531⟩
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Lectures

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C Biernacki. Clustering : une vision unifiée pour une utilisation éclairée – Partie 3 : Formalisation par modèles de mélange. Doctoral. France. 2023. ⟨hal-04370761⟩
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https://inria.hal.science/hal-04370761/file/Prez3_clustering_SFdS.pdf BibTex
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C Biernacki. Clustering : une vision unifiée pour une utilisation éclairée – Partie 4 : Traitement de la grande dimension & co-clustering. Doctoral. France. 2023. ⟨hal-04370767⟩
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https://inria.hal.science/hal-04370767/file/Prez4_clustering_SFdS.pdf BibTex
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Christophe Biernacki. Clustering : une vision unifiée pour une utilisation éclairée – Partie 1 : Méthodes exploratoires en clustering. Doctoral. Paris, France. 2023. ⟨hal-04370746⟩
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https://inria.hal.science/hal-04370746/file/Prez1_clustering_SFdS.pdf BibTex
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C Biernacki. Clustering : une vision unifiée pour une utilisation éclairée – Partie 2 Evaluation d’une méthode de clustering. Doctoral. France. 2023. ⟨hal-04370753⟩
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https://inria.hal.science/hal-04370753/file/Prez2_clustering_SFdS.pdf BibTex

Theses

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Issam-Ali Moindjié. Modèles linéaires pour données fonctionnelles multivariées. Statistiques [math.ST]. Université de Lille, 2023. Français. ⟨NNT : 2023ULILB046⟩. ⟨tel-04376932v2⟩
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https://hal.science/tel-04376932/file/These_MOINDJIE_Issam.pdf BibTex

Preprints, Working Papers, …

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Aude Sportisse, Matthieu Marbac, Fabien Laporte, Gilles Celeux, Claire Boyer, et al.. Accompanying note : Model-based Clustering with Missing Not At Random Data. 2023. ⟨hal-04358192⟩
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https://hal.science/hal-04358192/file/main.pdf BibTex
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Eugenio Clerico, Benjamin Guedj. A note on regularised NTK dynamics with an application to PAC-Bayesian training. 2023. ⟨hal-04358260⟩
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https://inria.hal.science/hal-04358260/file/2312.13259.pdf BibTex
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Aude Sportisse, Matthieu Marbac, Fabien Laporte, Gilles Celeux, Claire Boyer, et al.. Model-based Clustering with Missing Not At Random Data. 2023. ⟨hal-03494674v4⟩
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https://hal.science/hal-03494674/file/main.pdf BibTex
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Etienne Krönert, Alain Célisse, Dalila Hattab. FDR control for Online Anomaly Detection. 2023. ⟨hal-04321622⟩
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https://hal.science/hal-04321622/file/article1-preprint.pdf BibTex
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Issam-Ali Moindjié, Cristian Preda, Sophie Dabo-Niang. Fusion regression methods with repeated functional data. 2023. ⟨hal-04176783v2⟩
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https://hal.science/hal-04176783/file/28_11_23.pdf BibTex
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Antonin Schrab, Wittawat Jitkrittum, Zoltán Szabó, Dino Sejdinovic, Arthur Gretton. Discussion of `Multiscale Fisher’s Independence Test for Multivariate Dependence’. 2023. ⟨hal-03709218⟩
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https://hal.science/hal-03709218/file/2206.11142.pdf BibTex
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Felix Biggs, Antonin Schrab, Arthur Gretton. MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting. 2023. ⟨hal-04156329v2⟩
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Ilmun Kim, Antonin Schrab. Differentially Private Permutation Tests: Applications to Kernel Methods. 2023. ⟨hal-04276141⟩
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Pierre Jobic, Maxime Haddouche, Benjamin Guedj. Federated Learning with Nonvacuous Generalisation Bounds. 2023. ⟨hal-04260486⟩
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https://inria.hal.science/hal-04260486/file/2310.11203.pdf BibTex
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Fredrik Hellström, Benjamin Guedj. Comparing Comparators in Generalization Bounds. 2023. ⟨hal-04259101⟩
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https://inria.hal.science/hal-04259101/file/2310.10534.pdf BibTex
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Fredrik Hellström, Giuseppe Durisi, Benjamin Guedj, Maxim Raginsky. Generalization Bounds: Perspectives from Information Theory and PAC-Bayes. 2023. ⟨hal-04205539⟩
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https://inria.hal.science/hal-04205539/file/2309.04381.pdf BibTex
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Maxime Haddouche, Benjamin Guedj. Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation. 2023. ⟨hal-04080080v2⟩
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https://inria.hal.science/hal-04080080/file/main.pdf BibTex
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Maxime Haddouche, Benjamin Guedj, Olivier Wintenberger. Optimistic Dynamic Regret Bounds. 2023. ⟨hal-03953310⟩
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https://arxiv.org/pdf/2301.07530 BibTex

2022

Journal articles

ref_biblio
S.‐h. Arnaud Kanga, Ouagnina Hili, Sophie Dabo-Niang, Assi N’Guessan. Asymptotic properties of nonparametric quantile estimation with spatial dependency. Statistica Neerlandica, 2022, ⟨10.1111/stan.12284⟩. ⟨hal-03861898⟩
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Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki. Interpretable Domain Adaptation Using Unsupervised Feature Selection on Pre-trained Source Models. Neurocomputing, 2022, 511, pp.319-336. ⟨hal-03325509v2⟩
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Christelle Judith Agonkoui, Freedath Djibril Moussa, Sophie-Dabo Niang. Multivariate functional principal component analysis for endogenously stratified data. Afrika Statistika, 2022, 17 (4), pp.3321-337. ⟨10.16929/as/2022.3321.308⟩. ⟨hal-04392805⟩
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Michael P B Gallaugher, Christophe Biernacki, Paul D Mcnicholas. Parameter-Wise Co-Clustering for High-Dimensional Data. Computational Statistics, 2022, ⟨10.1007/s00180-022-01289-2⟩. ⟨hal-01862824v4⟩
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https://hal.science/hal-01862824/file/PWCoClust_Revised2.pdf BibTex
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Mamadou Ndiaye, Sophie Dabo-Niang, Papa Ngom. Nonparametric Prediction for Spatial Dependent Functional Data Under Fixed Sampling Design. Revista colombiana de Estadistica, 2022, 45 (2), pp.391-428. ⟨10.15446/rce.v45n2.98957⟩. ⟨hal-04500323⟩
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Aurelien Chepy, Solange Vivier, Fabrice Bray, Camille Ternynck, Jean-Pascal Meneboo, et al.. Effects of Immunoglobulins G From Systemic Sclerosis Patients in Normal Dermal Fibroblasts: A Multi-Omics Study. Frontiers in Immunology, 2022, Frontiers in Immunology, 13, pp.904631. ⟨10.3389/fimmu.2022.904631⟩. ⟨hal-03898588⟩
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Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey. MAGMA: Inference and Prediction using Multi-Task Gaussian Processes with Common Mean. Machine Learning, 2022, ⟨10.1007/s10994-022-06172-1⟩. ⟨hal-02904446v2⟩
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Adolphe Gbogbo, Benoît Kouakou, Sophie Dabo-Niang, Jérémie Zoueu. Predictive model for airborne insect abundance intercepted by a continuous wave Scheimpflug lidar in relation to meteorological parameters. Ecological Informatics, 2022, 68, pp.101528. ⟨10.1016/j.ecoinf.2021.101528⟩. ⟨hal-03527459⟩
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Nathalie Garnier, Kato Pollet, Marie Fourcot, Morgan Caplan, Guillemette Marot, et al.. [Letter to editor] Altered microRNA expression in severe COVID‐19: Potential prognostic and pathophysiological role. Clinical and Translational Medicine, 2022, 12 (6), pp.e899. ⟨10.1002/ctm2.899⟩. ⟨hal-03700328⟩
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https://hal.science/hal-03700328/file/Clinical%20Translational%20Med%20-%202022%20-%20Garnier%20-%20Altered%20microRNA%20expression%20in%20severe%20COVID%E2%80%9019%20Potential%20prognostic%20and.pdf BibTex
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Aurore Cauquis, Mario Ricchiuto, Philippe Heinrich. Lax–Wendroff Schemes with Polynomial Extrapolation and Simplified Lax–Wendroff Schemes for Dispersive Waves: A Comparative Study. Water Waves, 2022, ⟨10.1007/s42286-022-00060-w⟩. ⟨hal-03723732⟩
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Florent Dewez, Benjamin Guedj, Arthur Talpaert, Vincent Vandewalle. An end-to-end data-driven optimisation framework for constrained trajectories. Data-Centric Engineering, 2022, 3, pp.e6. ⟨10.1017/dce.2022.6⟩. ⟨hal-03024720⟩
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Mihai Cucuringu, Hemant Tyagi. An extension of the angular synchronization problem to the heterogeneous setting. Foundations of Data Science, In press, ⟨10.3934/fods.2021036⟩. ⟨hal-03101682⟩
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Matthieu Marbac, Mohammed Sedki, Christophe Biernacki, Vincent Vandewalle. Simultaneous semi-parametric estimation of clustering and regression. Journal of Computational and Graphical Statistics, 2022, 31 (2), pp.477-485. ⟨10.1080/10618600.2021.2000872⟩. ⟨hal-03090573v2⟩
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Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey. Cluster-Specific Predictions with Multi-Task Gaussian Processes. Journal of Machine Learning Research, In press. ⟨hal-03009276v3⟩
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Conference papers

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Christophe Biernacki. Impact of Missing Data on Mixtures and Clustering. CMStatistics 2022 – 15th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2022, London, United Kingdom. ⟨hal-03936786⟩
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https://inria.hal.science/hal-03936786/file/CMstat_Biernacki.pdf BibTex
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Rim Essifi. The Patient Path: a first approach. CMStatistics 2022 – The 15th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2022, Londres, United Kingdom. ⟨hal-03942217⟩
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Guillemette Marot. Introduction to statistics for omics data. Thematic school FTMS 2022 – Fourier Transform Mass Spectrometry: treatment of ultra high resolution data, Nov 2022, Ambleteuse, France. ⟨hal-03942855⟩
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Sophie Dabo-Niang. Econometrics, Space : Applications to economic growth and management of fishery resources. Colloque ENSAE, IRD, University Paris Dauphine, Nov 2022, Dakar (Sénégal), Senegal. ⟨hal-04507846⟩
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Idris Si-Ahmed, Mazamaesso Azeyou, Leila Hamdad, Sophie Dabo-Niang. Functional, Multivariate Functional and Spatial PCA: Application to Covid-19 Data in the African Continent. 12th International Conference on Information Systems and Advanced Technologies ICISAT 2022, Aug 2022, Virtual conference, France. pp.318-328, ⟨10.1007/978-3-031-25344-7_28⟩. ⟨hal-04392801⟩
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Guillaume Braun, Hemant Tyagi, Christophe Biernacki. An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. Proceedings of the 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States. ⟨hal-03526257⟩
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Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, et al.. Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound. CAp 2022, Jul 2022, Vannes, France. ⟨hal-03703804⟩
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Paul Viallard, Rémi Emonet, Pascal Germain, Amaury Habrard, Emilie Morvant, et al.. Intérêt des bornes désintégrées pour la généralisation avec des mesures de complexité. CAp 2022, Jul 2022, Vannes, France. ⟨hal-03703811⟩
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Guillemette Marot. Meta-analysis of RNA-Seq data. Journée scientifique – Le RNA-Seq, de la paillasse à l’analyse in silico, PLBS, bilille and GoaL platforms, Jun 2022, Lille, France. ⟨hal-03942820⟩
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https://inria.hal.science/hal-03942820/file/metaRNASeq.pdf BibTex
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Christophe Biernacki, Claire Boyer, Gilles Celeux, Julie Josse, Fabien Laporte, et al.. Impact of missing data on mixtures and clustering with illustrations in Biology and Medicine. ASA 2022 – Apprentissage Statistiques et Applications, Jun 2022, Poitiers, France. ⟨hal-03936781⟩
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Guillemette Marot, Quentin Grimonprez, Samuel Blanck, Alain Celisse. Variable selection with Multi-Layer Group Lasso. useR! 2022, Jun 2022, Virtual, United States. ⟨hal-03942579⟩
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https://inria.hal.science/hal-03942579/file/MLGL.pdf BibTex
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Guillemette Marot, Wilfried Heyse, Vincent Vandewalle, Christophe Bauters, Florence Pinet. Clinical score building from high-throughput proteomic data. ICM/Inria/SCAI workshop “Computational and mathematical approaches for neuroscience”, Jun 2022, Paris, France. ⟨hal-03942723⟩
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https://inria.hal.science/hal-03942723/file/Score_building_ICM_HAL.pdf BibTex
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Yoba Kande, Patrice Brehmer, Sophie Dabo-Niang. Spatial functionnal analysis of acoustic fisheries data. 20th Edition of the International Workshop in Spatial Econometrics and Statistics, Université de Lille; INRIA, May 2022, Lille (FR), France. ⟨hal-04490551⟩
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Sophie Dabo-Niang. Investigating spatial scan statistics for multivariate functional data. Colloque International de Statistique et Econométrie (CISEM 2022), May 2022, Mahdia, Tunisia, Tunisia. ⟨hal-04507827⟩
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Sophie Dabo-Niang. Multivariate Principal Component Analysis and Binary Functional Linear Models under Case-Control
Sampling. Colloque International de Statistique et Econométrie (CISEM 2022), May 2022, Mahdia, Tunisia, Tunisia. ⟨hal-04507825⟩
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Christophe Biernacki. Fondamentaux de l’IA et domaines d’application. Journées Techniques Routes 2022, May 2022, Nantes, France. ⟨hal-03936772⟩
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Felix Biggs, Benjamin Guedj. On Margins and Derandomisation in PAC-Bayes. AISTATS 2022 – 25th International Conference on Artificial Intelligence and Statistics, Mar 2022, Valencia, Spain. ⟨hal-03282597v2⟩
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https://inria.hal.science/hal-03282597/file/2107.03955.pdf BibTex
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Badr-Eddine Chérief-Abdellatif, Yuyang Shi, Arnaud Doucet, Benjamin Guedj. On PAC-Bayesian reconstruction guarantees for VAEs. 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022, Mar 2022, Valencia / Virtual, Spain. ⟨hal-03587178⟩
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https://inria.hal.science/hal-03587178/file/2202.11455.pdf BibTex
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Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki. Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models. 36th AAAI Conférence on Artificial Intelligence, Feb 2022, Vancouver, Canada. ⟨hal-03505639⟩
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https://hal.science/hal-03505639/file/2006.ZhangL.pdf BibTex
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Bahram Ahmadian, Deborah Mbujamba, Jean Claude Gerbedoen, Momoko Kumemura, Hiroyuki Fujita, et al.. Single cell classification using statistical learning on mechanical properties measured by mems tweezers. IEEE 35th International Conference on Micro Electro Mechanical Systems Conference (MEMS 2022), Jan 2022, Tokyo, Japan. pp.317-320, ⟨10.1109/MEMS51670.2022.9699466⟩. ⟨hal-03528082⟩
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Book sections

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Salsabil Yacour, Sophie Dabo-Niang, Ahmed El Ghini. Investigating Environmental Kuznets Curve for CO$$_{2}$$ Emissions: A Cointegration Analysis for Morocco. Proceedings of the Sixteenth International Conference on Management Science and Engineering Management – Volume 2, 145, Springer International Publishing, pp.506-525, 2022, Lecture Notes on Data Engineering and Communications Technologies, ⟨10.1007/978-3-031-10385-8_36⟩. ⟨hal-03861889⟩
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Lectures

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Christophe Biernacki. Traitement statistique des données manquantes-Part I Introduction to modeling. Doctorat. France. 2022. ⟨hal-03505648⟩
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https://hal.science/hal-03505648/file/part1.pdf BibTex

Theses

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Guillaume Braun. Efficient iterative methods for clustering and matching problems on graphs. Combinatorics [math.CO]. Université de Lille, 2022. English. ⟨NNT : 2022ULILB034⟩. ⟨tel-03889078v2⟩
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https://hal.science/tel-03889078/file/These_BRAUN_Guillaume.pdf BibTex
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Camille Frévent. Contribution to spatial statistics for high-dimensional and survival data. Statistics [math.ST]. Université de Lille, 2022. English. ⟨NNT : ⟩. ⟨tel-03889127v2⟩
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https://inria.hal.science/tel-03889127/file/2022ULILS032.pdf BibTex
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Filippo Antonazzo. Unsupervised learning of huge data sets with limited computed resources. Data Structures and Algorithms [cs.DS]. Université de Lille, 2022. English. ⟨NNT : 2022ULILB015⟩. ⟨tel-03846222v2⟩
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https://theses.hal.science/tel-03846222/file/These_ANTONAZZO_Filippo.pdf BibTex

Preprints, Working Papers, …

ref_biblio
Ernesto Araya, Guillaume Braun, Hemant Tyagi. Seeded graph matching for the correlated Gaussian Wigner model via the projected power method. 2022. ⟨hal-03876872⟩
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https://arxiv.org/pdf/2204.04099 BibTex
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Camille Frévent, Mohamed-Salem Ahmed, Julien Soula, Zaineb Smida, Lionel Cucala, et al.. The R Package \pkg{HDSpatialScan} for the Detection of Clusters of Multivariate and Functional Data using Spatial Scan Statistics. 2022. ⟨hal-03862097⟩
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Eugenio Clerico, George Deligiannidis, Benjamin Guedj, Arnaud Doucet. A PAC-Bayes bound for deterministic classifiers. 2022. ⟨hal-03815146⟩
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https://inria.hal.science/hal-03815146/file/2209.02525.pdf BibTex
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Antonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton. Efficient Aggregated Kernel Tests using Incomplete $U$-statistics. 2022. ⟨hal-03701416⟩
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https://arxiv.org/pdf/2206.09194 BibTex
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Felix Biggs, Valentina Zantedeschi, Benjamin Guedj. On Margins and Generalisation for Voting Classifiers. 2022. ⟨hal-03700887⟩
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https://arxiv.org/pdf/2206.04607 BibTex
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Maxime Haddouche, Benjamin Guedj. Online PAC-Bayes Learning. 2022. ⟨hal-03701105⟩
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https://arxiv.org/pdf/2206.00024 BibTex
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Tchamiè Tchazino, Aliou Diop, Sophie Dabo-Niang. Conditional tail and quantile estimation for real-valued β-mixing spatial data. 2022. ⟨hal-03668211⟩
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https://hal.science/hal-03668211/file/projet2%20actualis%C3%A9.pdf BibTex
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Jiale Wei, Qiyuan Chen, Pai Peng, Benjamin Guedj, Le Li. Reprint: a randomized extrapolation based on principal components for data augmentation. 2022. ⟨hal-03659407⟩
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https://arxiv.org/pdf/2204.12024 BibTex
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Serge Iovleff. A New Probabilistic Representation of the Alternating Zeta Function and a New Selberg-like Integral Evaluation. 2022. ⟨hal-03612591⟩
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Antoine Vendeville, Benjamin Guedj, Shi Zhou. On discord in the voter model for complex networks. 2022. ⟨hal-03600429⟩
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https://arxiv.org/pdf/2203.02002 BibTex
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Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi. Measuring dissimilarity with diffeomorphism invariance. 2022. ⟨hal-03573479⟩
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https://inria.hal.science/hal-03573479/file/2202.05614.pdf BibTex
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Antoine Picard-Weibel, Benjamin Guedj. On change of measure inequalities for $f$-divergences. 2022. ⟨hal-03573465⟩
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https://inria.hal.science/hal-03573465/file/2202.05568.pdf BibTex
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Reuben Adams, John Shawe-Taylor, Benjamin Guedj. Controlling Confusion via Generalisation Bounds. 2022. ⟨hal-03573458⟩
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https://inria.hal.science/hal-03573458/file/2202.05560.pdf BibTex
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Felix Biggs, Benjamin Guedj. Non-Vacuous Generalisation Bounds for Shallow Neural Networks. 2022. ⟨hal-03557415⟩
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https://inria.hal.science/hal-03557415/file/2202.01627.pdf BibTex
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Antonin Schrab, Benjamin Guedj, Arthur Gretton. KSD Aggregated Goodness-of-fit Test. 2022. ⟨hal-03554423⟩
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https://inria.hal.science/hal-03554423/file/2202.00824.pdf BibTex
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Sophie Dabo-Niang, Baba Thiam, Thomas Verdebout. Asymptotic efficiency of some nonparametric tests for location on hyperspheres. 2022. ⟨hal-03527763⟩
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Stefano Nasini, Thomas Ringo Tchouya, Sophie Dabo-Niang. An estimation framework for the influential-imitator diffusion. 2022. ⟨hal-03527489⟩
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Mohamed Salem Ahmed, Mohamed Attouch, Sophie Dabo-Niang, Mamadou Ndiaye. K-nearest neighbors method estimation of regression function for spatial dependent data. 2022. ⟨hal-03527479⟩
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Fathima Sainul, Sophie Dabo-Niang, Akim Adekpedjou. Modelling Spatially Clustered Failure Time Data via Multivariate Gaussian Random Fields. 2022. ⟨hal-03527477⟩
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Christelle Agonkoui, Sophie Dabo-Niang, Freedath Djibril Moussa. Multivariate Functional Principal Component Analysis for stratified data. 2022. ⟨hal-03527475⟩
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2021

Journal articles

ref_biblio
Hemant Tyagi. Error analysis for denoising smooth modulo signals on a graph. Applied and Computational Harmonic Analysis, 2021, 57, pp.151-184. ⟨10.1016/j.acha.2021.11.005⟩. ⟨hal-03101720v2⟩
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Cristian Preda, Quentin Grimonprez, Vincent Vandewalle. Categorical Functional Data Analysis. The cfda R Package. Mathematics , 2021, 9 (23), pp.31. ⟨10.3390/math9233074⟩. ⟨hal-03515152⟩
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Mihai Cucuringu, Apoorv Vikram Singh, Deborah Sulem, Hemant Tyagi. Regularized spectral methods for clustering signed networks. Journal of Machine Learning Research, 2021, 22 (264), pp.1-79. ⟨10.48550/arXiv.2011.01737⟩. ⟨hal-03101710⟩
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https://inria.hal.science/hal-03101710/file/reg_spec_clust_signed_graphs.pdf BibTex
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Michaël Fanuel, Hemant Tyagi. Denoising modulo samples: k-NN regression and tightness of SDP relaxation. Information and Inference, 2021, ⟨10.1093/imaiai/iaab022⟩. ⟨hal-03101740v2⟩
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https://inria.hal.science/hal-03101740/file/kNN_SDP_mod1.pdf BibTex
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Serge-Hippolyte Arnaud Kanga, Ouagnina Hili, Sophie Dabo-Niang. On Nonparametric Conditional Quantile Estimation for Non-stationary Random. Afrika Statistika, 2021, 16 (4), pp.3009-3039. ⟨10.16929/as/2021.3009.193⟩. ⟨hal-03527760⟩
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Adrien Ehrhardt, Christophe Biernacki, Vincent Vandewalle, Philippe Heinrich, Sébastien Beben. Reject Inference Methods in Credit Scoring. Journal of Applied Statistics, 2021, 48 (13-15), pp.2734-2754. ⟨10.1080/02664763.2021.1929090⟩. ⟨hal-03087279v2⟩
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Alexandre d’Aspremont, Mihai Cucuringu, Hemant Tyagi. Ranking and synchronization from pairwise measurements via SVD. Journal of Machine Learning Research, 2021, 22 (19), pp.1-63. ⟨10.48550/arXiv.1906.02746⟩. ⟨hal-02340372⟩
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Margot Selosse, Julien Jacques, Christophe Biernacki. ordinalClust: An R Package to Analyze Ordinal Data. The R Journal, 2021, 12 (2), ⟨10.32614/RJ-2021-011⟩. ⟨hal-01678800v4⟩
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Asma S. Khelifa, Cecilia Guillen Sanchez, Kevin M. Lesage, Ludovic Huot, Thomas Mouveaux, et al.. TgAP2IX-5 is a key transcriptional regulator of the asexual cell cycle division in Toxoplasma gondii. Nature Communications, 2021, 12, pp.116. ⟨10.1038/s41467-020-20216-x⟩. ⟨hal-03107529v2⟩
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https://hal.science/hal-03107529/file/s41467-020-20216-x.pdf BibTex
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Antoine Vendeville, Benjamin Guedj, Shi Zhou. Forecasting elections results via the voter model with stubborn nodes. Applied Network Science, 2021, 6 (1), pp.1. ⟨10.1007/s41109-020-00342-7⟩. ⟨hal-02946434v2⟩
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Alain Celisse, Martin Wahl. Analyzing the discrepancy principle for kernelized spectral filter learning algorithms. Journal of Machine Learning Research, 2021, ⟨10.48550/arXiv.2004.08436⟩. ⟨hal-02548917v2⟩
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https://inria.hal.science/hal-02548917/file/20-358.pdf BibTex
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Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor. PAC-Bayes unleashed: generalisation bounds with unbounded losses. Entropy, 2021, ⟨10.3390/e23101330⟩. ⟨hal-02872173⟩
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Benjamin Guedj, Le Li. Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly. Entropy, 2021, ⟨10.3390/e23111534⟩. ⟨hal-01796011v2⟩
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Benjamin Guedj, Louis Pujol. Still no free lunches: the price to pay for tighter PAC-Bayes bounds. Entropy, 2021, ⟨10.3390/e23111529⟩. ⟨hal-02401286⟩
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https://inria.hal.science/hal-02401286/file/1910.04460.pdf BibTex
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Felix Biggs, Benjamin Guedj. Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks. Entropy, 2021, ⟨10.3390/e23101280⟩. ⟨hal-02879216⟩
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https://inria.hal.science/hal-02879216/file/2006.12228.pdf BibTex

Conference papers

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Sophie Dabo-Niang. Gendergap in Science in Africa.. AERAP Africa-Europe Science Collaboration Platform, Dec 2021, online, France. ⟨hal-04464577⟩
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Maria Perez-Ortiz, Omar Rivasplata, Emilio Parrado-Hernandez, Benjamin Guedj, John Shawe-Taylor. Progress in Self-Certified Neural Networks. NeurIPS 2021 – Conference on Neural Information Processing Systems. Session Workshop : Bayesian Deep Learning, Dec 2021, Virtual, United Kingdom. ⟨10.48550/arXiv.2111.07737⟩. ⟨hal-03430821⟩
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Antoine Vendeville, Benjamin Guedj, Shi Zhou. Towards control of opinion diversity by introducing zealots into a polarised social group. Complex Networks and Their Applications X, Nov 2021, Madrid, Spain. ⟨10.1007/978-3-030-93413-2_29⟩. ⟨hal-02872161v3⟩
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Sophie Dabo-Niang. Detection of spatial mortality patterns using functional principal components for areal data. JSMDS 2021, Nov 2021, Hammamet (TUN), Tunisia. ⟨hal-04464583⟩
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Eole Nyangwile, Wilfried Heyse, Caroline Méjean, Jean Dallongeville. Analyses des transitions alimentaires dans le monde entre 1961 à 2018. Journées Francophones de Nutrition (JFN 2021), JFN, Nov 2021, Online, France. ⟨10.1016/j.cnd.2022.02.004⟩. ⟨hal-03463798⟩
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Sophie Dabo-Niang. Spatial Econometric modeling and Applications to environment and health. First modelization days in Mayotte, Nov 2021, Mayotte, Mayotte. ⟨hal-04464581⟩
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Michaël Fanuel, Hemant Tyagi. Recovering Hölder smooth functions from noisy modulo samples. 55th Asilomar Conference on Signals, Systems, and Computers, IEEE Signal Processing Society, Oct 2021, Pacific Grove, CA, United States. pp.857-861, ⟨10.1109/IEEECONF53345.2021.9723268⟩. ⟨hal-03511325⟩
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Filippo Antonazzo, Christophe Biernacki, Christine Keribin. Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach. Working Group – Model-based Clustering, Oct 2021, Athens, Greece. ⟨hal-03505673⟩
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Sophie Dabo-Niang. Spatial Econometric modeling and Applications
to environment and health. PASRC Webinar, Oct 2021, Princeton (on line), United States. ⟨hal-04507823⟩
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Christophe Biernacki, Nathalie Mitton. L’intelligence artificielle dans la gestion de patrimoine des infrastructures de mobilité. Congrès de l’IDDRIM, Oct 2021, Rennes, France. ⟨hal-03976716⟩
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Christophe Biernacki. Le sport face aux jeux (de données). Session Olympique Universitaire (SOU), Sep 2021, Lille, France. ⟨hal-03505657⟩
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Matthieu Marbac, Mohammed Sedki, Christophe Biernacki, Vincent Vandewalle. Simultaneous semi-parametric estimation of clustering and regression. 52èmes journées de la SFdS, Jun 2021, Nice / Virtual, France. ⟨10.48550/arXiv.2012.14159⟩. ⟨hal-03515286⟩
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Wilfried Heyse, Vincent Vandewalle, Philippe Amouyel, Guillemette Marot, Christophe Bauters, et al.. Support of temporal structure in the statistical analysis of high-throughput proteomic data. Journées de Statistique 2021, Jun 2021, Nice, France. ⟨hal-03525345⟩
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Valentina Zantedeschi, Matt J Kusner, Vlad Niculae. Learning Binary Decision Trees by Argmin Differentiation. International Conference on Machine Learning, Jun 2021, Virtual, United Kingdom. ⟨10.48550/arXiv.2010.04627⟩. ⟨hal-03399069⟩
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Christophe Biernacki, Claire Boyer, Gilles Celeux, Julie Josse, Fabien Laporte, et al.. Impact of Missing Data on Mixtures and Clustering. MHC2021 – Mixtures, Hidden Markov Models, Clustering, Jun 2021, Orsay, France. ⟨hal-03505664⟩
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Wilfried Heyse, Vincent Vandewalle, Philippe Amouyel, Guillemette Marot, Christophe Bauters, et al.. Identification of patients subtypes based on protein expression for prediction of heart failure after myocardial infarction. Printemps de la cardiologie 2021, May 2021, Online, France. pp.213, ⟨10.1016/j.acvdsp.2021.04.159⟩. ⟨hal-03525354⟩
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Christophe Biernacki, Claire Boyer, Gilles Celeux, Julie Josse, Fabien Laporte, et al.. Dealing with missing data in model-based clustering through a MNAR model. The 14th Professor Aleksander Zeliaś International Conference on Modelling and Forecasting of Socio-Economic Phenomena, May 2021, Zakopane, Poland. ⟨hal-03505659⟩
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Vincent Cohen-Addad, Benjamin Guedj, Varun Kanade, Guy Rom. Online $k$-means Clustering. AISTATS 2021 – The 24th International Conference on Artificial Intelligence and Statistics, Apr 2021, Virtual, France. ⟨10.48550/arXiv.1909.06861⟩. ⟨hal-02401290⟩
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Guillaume Braun, Hemant Tyagi, Christophe Biernacki. Clustering multilayer graphs with missing nodes. The 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021), Apr 2021, « Virtual », France. ⟨10.48550/arXiv.2103.03235⟩. ⟨hal-03505636⟩
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Christophe Biernacki, Matthieu Marbac Lourdelle, Vincent Vandewalle. Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering. MIMO 2021: Workshop on Mixture Models, Apr 2021, Rouen, France. ⟨hal-03505667⟩
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Sophie Dabo-Niang. Bridging Nonparametric Statistics and Spatial Data Modeling. Stochastic geometry days, Feb 2021, Dunkerque, France. ⟨hal-04464579⟩
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Soumia Boumeddane, Leila Hamdad, Hamid Haddadou, Sophie Dabo-Niang. Dimensionality Reduction and Bandwidth Selection for Spatial Kernel Discriminant Analysis. 13th International Conference on Agents and Artificial Intelligence, Feb 2021, Online Streaming, New Zealand. pp.278-285, ⟨10.5220/0010269002780285⟩. ⟨hal-03527454⟩
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Christian Schroeder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele de Martini, Freddie Kalaitzis, et al.. RainBench: Towards Global Precipitation Forecasting from Satellite Imagery. Association for the Advancement of Artificial Intelligence, Feb 2021, Virtual, United Kingdom. ⟨10.48550/arXiv.2012.09670⟩. ⟨hal-03425405⟩
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Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, et al.. Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound. NeurIPS, 2021, Online, France. ⟨10.5555/3540261.3540296⟩. ⟨hal-03278470⟩
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Book sections

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Filippo Antonazzo, Christophe Biernacki, Christine Keribin. A binned technique for scalable model-based clustering on huge datasets. Book of Short Papers of the 5th international workshop on Models and Learning for Clustering and Classification MBC2 2020, Catania, Italy, pp.11-16, 2021. ⟨hal-03097284v2⟩
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Vincent Vandewalle, Cristian Preda, Sophie Dabo-Niang. Clustering spatial functional data. J. Mateu and R. Giraldo. Geostatistical Functional Data Analysis : Theory and Methods. Editors: Jorge Mateu, Ramon Giraldo, 1, Wiley, 2021, Geostatistical Functional Data Analysis : Theory and Methods, ⟨10.1002/9781119387916.ch7⟩. ⟨hal-01948934⟩
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Sophie Dabo-Niang, Camille Ternynck, Baba Thiam, Anne-Françoise Yao. Non-parametric statistical analysis of spatially distributed functional data. Ramon Giraldo; Jorge Mateu. Geostatistical Functional Data Analysis, Wiley, 2021, 978-1-119-38784-8. ⟨10.1002/9781119387916.ch8⟩. ⟨hal-01812238⟩
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Mohamed-Salem Ahmed, Laurence Broze, Sophie Dabo-Niang, Zied Gharbi. Quasi-maximum Likelihood Estimators for Functional Linear Spatial Autoregressive Models. Ramon Giraldo; Jorge Mateu. Geostatistical Functional Data Analysis: Theory and Methods, Wiley, 2021, Wiley Series in Probability and Statistics, 978-1-119-38784-8. ⟨10.1002/9781119387916.ch12⟩. ⟨hal-01810819⟩
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Habilitation à diriger des recherches

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Guillemette Marot. Contributions méthodologiques en statistique pour l’analyse et l’intégration de données -omiques et cliniques. Statistiques [math.ST]. Université de Lille, 2021. ⟨tel-03440914⟩
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Vincent Vandewalle. Contribution to model-based clustering of heterogeneous data. Statistics [math.ST]. Université de Lille, 2021. ⟨tel-03118189⟩
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Lectures

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Filippo Antonazzo, Christophe Biernacki, Christine Keribin. Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach. Doctoral. France. 2021. ⟨hal-03505670⟩
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https://hal.science/hal-03505670/file/ArticleImbalanced_Avignon.pdf BibTex
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Christophe Biernacki. Traitement statistique des donn ́ees manquantes-Part III Missing not at random data (MNAR). Doctoral. France. 2021. ⟨hal-03505651⟩
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Christophe Biernacki. Traitement statistique des donn ́ees manquantes-Part IV Binned data for big data analysis. Doctoral. France. 2021. ⟨hal-03505653⟩
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Christophe Biernacki. Traitement statistique des données manquantes-Part II
Numerical and non-numerical data. Doctorat. France. 2021. ⟨hal-03505650⟩
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Other publications

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Benjamin Guedj. Covid-19 and AI: Unexpected Challenges and Lessons. 2021. ⟨hal-03277494v2⟩
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Documents associated with scientific events

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Cristian Preda, Quentin Grimonprez, Vincent Vandewalle. Categorical functional data analysis. The cfda R package. The 14th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2021, London, United Kingdom. ⟨hal-03518940⟩
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Cristian Preda, Quentin Grimonprez, Vincent Vandewalle. Analyse des données fonctionnelles catégorielles. Le package R cfda. JDS 2021 : 52èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2021, Nice, France. ⟨hal-03519016⟩
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Preprints, Working Papers, …

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Filippo Antonazzo, Christophe Biernacki, Christine Keribin. Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach. 2021. ⟨hal-03485364⟩
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Tchamiè Tchazino, Sophie Dabo-Niang, Aliou Diop. Tail and quantile estimation for real-valued β-mixing spatial data. 2021. ⟨hal-03457114⟩
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María Pérez-Ortiz, Omar Rivasplata, Benjamin Guedj, Matthew Gleeson, Jingyu Zhang, et al.. Learning PAC-Bayes Priors for Probabilistic Neural Networks. 2021. ⟨hal-03351794⟩
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Tchazino Tchamie, Sophie Dabo-Niang, Aliou Diop. Estimation of extreme tail index for β−mixing random fields. 2021. ⟨hal-03133830⟩
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Sophie Dabo-Niang, Mékapeu Solange Doumun, Jeremie Thouakesseh Zoueu. A Novel Unstained Blood Smears Multispectral Images Normalization. Application to Unstained Malaria Infected Blood Smear.. 2021. ⟨hal-03133828⟩
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Thomas Ringo Tchouya, Stefano Nasini, Sophie Dabo-Niang. An asymptotic approximation for the extended Bass diffusion model and application to pandemic outbreaks. 2021. ⟨hal-03133829⟩
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Dharini Pathmanathan, Alaa Ali Hassan, Alaa Hassan, Sophie Dabo-Niang. Exploring spatial patterns of mortality in Europe using functional spatial principal components for areal data. 2021. ⟨hal-03133827⟩
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Sophie Dabo-Niang, Dharini Pathmanathan, Hasmahzaiti Omar. Clustering DNA sequences for phylogenetic trees using a functional data framework. 2021. ⟨hal-03133825⟩
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Videos

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Damien A. Devault, Solym Mawaki Manou-Abi, François Xavier Lamure, Manon Squadrelli, Jean-François Desprats, et al.. Analyse statistique et cartographique des déterminants pédologiques influençant la déchloration de la chlordécone en Martinique. 2021. ⟨hal-04566068⟩
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2020

Journal articles

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Florent Dewez. Stability of propagation features under time-asymptotic approximations for a class of dispersive equations. Journal of Mathematical Analysis and Applications, 2020, 491 (1), pp.124292. ⟨10.1016/j.jmaa.2020.124292⟩. ⟨hal-03490225⟩
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Florent Dewez, Benjamin Guedj, Vincent Vandewalle. From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning. Data-Centric Engineering, 2020, ⟨10.1017/dce.2020.12⟩. ⟨hal-02570875⟩
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Mékapeu Solange Doumun, Sophie Dabo-Niang, Jérémie Zoueu. Detection and segmentation of erythrocytes in multispectral label-free blood smear images for automatic cell counting. Journal of Spectral Imaging, 2020, 9 (Article ID a10), ⟨10.1255/jsi.2020.a10⟩. ⟨hal-03133812⟩
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Soumia Boumeddane, Leila Hamdad, Hamid Haddadou, Sophie Dabo-Niang. A kernel discriminant analysis for spatially dependent data. Distributed and Parallel Databases, 2020, 39 (3), pp.583-606. ⟨10.1007/s10619-020-07309-8⟩. ⟨hal-03133813⟩
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Vincent Vandewalle, Alexandre Caron, Coralie Delettrez, Renaud Périchon, Sylvia Pelayo, et al.. Estimating the number of usability problems affecting medical devices: modelling the discovery matrix. BMC Medical Research Methodology, 2020, 20 (1), ⟨10.1186/s12874-020-01091-y⟩. ⟨hal-03117742⟩
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Christophe Biernacki, Matthieu Marbac, Vincent Vandewalle. Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering. Journal of Classification, 2020, ⟨10.1007/s00357-020-09369-y⟩. ⟨hal-01949155v3⟩
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Akim Adekpedjou, Sophie Dabo-Niang. Semiparametric estimation with spatially correlated recurrent events. Scandinavian Journal of Statistics, 2020, ⟨10.1111/sjos.12480⟩. ⟨hal-03133810⟩
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Damya Souami, Jacky Cresson, Christophe Biernacki, Frédéric Pierret. On the local and global properties of the gravitational spheres of influence. Monthly Notices of the Royal Astronomical Society, 2020, 496 (4), pp.4287-429. ⟨10.1093/mnras/staa1520⟩. ⟨hal-02617073⟩
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Cristian Preda, Alexandru Amarioarei. One Dimensional Discrete Scan Statistics for Dependent Models and Some Related Problems. Mathematics , 2020, 8 (4), pp.576. ⟨10.3390/math8040576⟩. ⟨hal-03114193⟩
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Vincent Vandewalle. Multi-Partitions Subspace Clustering. Mathematics , 2020, 8 (4), pp.597. ⟨10.3390/math8040597⟩. ⟨hal-03117603⟩
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Mohamed Ali Ben Alaya, Camille Ternynck, Sophie Dabo-Niang, Fateh Chebana, Taha B.M.J. Ouarda. Change point detection of flood events using a functional data framework. Advances in Water Resources, 2020, 137, pp.103522. ⟨10.1016/j.advwatres.2020.103522⟩. ⟨hal-03133809⟩
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Benjamin Guedj, Bhargav Srinivasa Desikan. Kernel-Based Ensemble Learning in Python. Information, 2020, 11 (2), pp.63. ⟨10.3390/info11020063⟩. ⟨hal-02443097v2⟩
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Margot Selosse, Julien Jacques, Christophe Biernacki. Textual data summarization using the Self-Organized Co-Clustering model. Pattern Recognition, 2020, 103, pp.107315. ⟨10.1016/j.patcog.2020.107315⟩. ⟨hal-02115294v3⟩
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Stéphane Chrétien, Hemant Tyagi. Multi-kernel unmixing and super-resolution using the Modified Matrix Pencil method. Journal of Fourier Analysis and Applications, 2020, 26 (18), ⟨10.1007/s00041-020-09725-x⟩. ⟨hal-02379598⟩
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Mihai Cucuringu, Hemant Tyagi. Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping. Journal of Machine Learning Research, 2020, 21 (32), pp.1−77. ⟨hal-02379573⟩
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Sophie Dabo-Niang, Baba Thiam. Kernel regression estimation with errors-in-variables for random fields. Afrika Matematika, 2020, 31, pp.29-56. ⟨10.1007/s13370-019-00654-7⟩. ⟨hal-02334993⟩
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Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant. PAC-Bayes and Domain Adaptation. Neurocomputing, 2020, 379, pp.379-397. ⟨10.1016/j.neucom.2019.10.105⟩. ⟨hal-01563152v3⟩
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Hiba Alawieh, Nicolas Wicker, Christophe Biernacki. Projection under pairwise distance controls. Communications in Statistics – Theory and Methods, 2020, ⟨10.1080/03610926.2020.1741626⟩. ⟨hal-01420662v5⟩
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Margot Selosse, Julien Jacques, Christophe Biernacki. Model-based co-clustering for mixed type data. Computational Statistics and Data Analysis, 2020, 144, pp.106866. ⟨10.1016/j.csda.2019.106866⟩. ⟨hal-01893457v2⟩
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Conference papers

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Margot Selosse, Isobel Claire Gormley, Julien Jacques, Christophe Biernacki. A bumpy journey: exploring deep Gaussian mixture models. I Can’t Believe It’s Not Better @ NeurIPS 2020, Dec 2020, Vancouver, Canada. ⟨hal-02985701⟩
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Sophie Dabo-Niang. The contribution of Mathematical Sciences in supporting robust disease prevention and modelling in Africa. The contribution of Mathematical Sciences in supporting robust disease prevention and modelling in Africa, Dec 2020, Virtual Meeting, South Africa. ⟨hal-03133823⟩
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Sophie Dabo-Niang. The contribution of Mathematical Sciences in supporting robust disease prevention and modelling in Africa.. NEF (Next Enstein Forum), Dec 2020, Online (south africa), France. ⟨hal-04464569⟩
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Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson. PAC-Bayesian Bound for the Conditional Value at Risk. NeurIPS 2020, Dec 2020, Vancouver / Virtual, Canada. ⟨hal-02883728⟩
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Alexandru Amarioarei, Cristian Preda. Scan statistics for some dependent models.
Applications.. STATMOD2020 Statistical Modeling with Applications, Nov 2020, Bucharest, Romania. ⟨hal-03141585⟩
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Sophie Dabo-Niang. Statistical modeling of Spatial Big data and Applications. AIMS South-Africa webinar, Nov 2020, online (South Africa), South Africa. ⟨hal-04464572⟩
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Wilfried Heyse, Vincent Vandewalle, Philippe Amouyel, Guillemette Marot, Christophe Bauters, et al.. Proteomic signature for early diagnosis of left ventricular remodeling after myocardial infarction. Printemps de la cardiologie 2020, Oct 2020, Grenoble, France. ⟨hal-03124801⟩
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Quentin Grimonprez, Benjamin Lamoureux, Etienne Goffinet, Pierre Dersin, Christophe Biernacki. Diagnostic automatisé d’aiguillage ferroviaire par apprentissage statistique. Congrès Lambda Mu 22 « Les risques au cœur des transitions » (e-congrès) – 22e Congrès de Maîtrise des Risques et de Sûreté de Fonctionnement, Institut pour la Maîtrise des Risques, Oct 2020, Le Havre (e-congrès), France. ⟨hal-03479596⟩
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Alain Celisse, Olivier Gauriau, Margot Corréard, Jean-François Bouin, Lennart Priester, et al.. SYSBOOSTER, application of Data Science to surveillance of systems for detection or anticipation of dysfunctions or failures of systems. Congrès Lambda Mu 22 « Les risques au cœur des transitions » (e-congrès) – 22e Congrès de Maîtrise des Risques et de Sûreté de Fonctionnement, Institut pour la Maîtrise des Risques, Oct 2020, Le Havre (e-congrès), France. pp.1-9. ⟨hal-03483963⟩
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Vincent Vandewalle, Alexandre Caron, Benoît Dervaux. Estimation du nombre de problèmes et détermination du nombre de sujets nécessaires dans les études d’utilisabilité : une approche bayésienne. Journées Biostatistiques 2020 – GDR « Statistiques & santé », Oct 2020, Paris, France. ⟨hal-03118164⟩
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Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki. Target to Source Coordinate-wise Adaptation of Pre-trained Models. ECML PKDD 2020 – The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent / Virtual, Belgium. ⟨hal-03087284⟩
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https://inria.hal.science/hal-03087284/file/sub_957.pdf BibTex
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Kento Nozawa, Pascal Germain, Benjamin Guedj. PAC-Bayesian Contrastive Unsupervised Representation Learning. UAI 2020 – Conference on Uncertainty in Artificial Intelligence, Aug 2020, Toronto, Canada. ⟨hal-02401282⟩
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Stephane Chretien, Benjamin Guedj. Revisiting clustering as matrix factorisation on the Stiefel manifold. LOD 2020 – the Sixth International Conference on Machine Learning, Optimisation and Data Science, Jul 2020, Siena, Italy. ⟨hal-02064396⟩
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Benjamin Guedj, Juliette Rengot. Non-linear aggregation of filters to improve image denoising. Computing Conference 2020, Jul 2020, London, United Kingdom. ⟨hal-02086856v2⟩
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Guillaume Braun, Christophe Biernacki, Hemant Tyagi. Clustering on multilayer graphs with missing values. Journée de Statistique de la SFdS, May 2020, Nice, France. ⟨hal-03122104⟩
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Margot Selosse, Julien Jacques, Christophe Biernacki. Co-clustering contraint pour le résumé de matrices document-terme. JdS 2020 – 52èmes Journées de Statistique de la Société Française de Statistique, May 2020, Nice, France. ⟨hal-02490028⟩
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Filippo Antonazzo, Christophe Biernacki, Christine Keribin. Estimation of univariate Gaussian mixtures for huge raw datasets by using binned datasets. JDS 2020 – 52ème Journées de Statistiques de la Société Française de Statistique, May 2020, Nice, France. ⟨hal-03082437v2⟩
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Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain, Mihaly Petreczky. Improved PAC-Bayesian Bounds for Linear Regression. AAAI 2020 – Thirty-Fourth AAAI Conference on Artificial Intelligence, Feb 2020, New York, United States. ⟨hal-02396556⟩
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Books

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Sophie Dabo-Niang, Solym Manou-Abi, Jean-Jacques Salone (Dir.). Mathematical Modeling and Study of Random or Deterministic Phenomena. Wiley, 2020, 9781786304544. ⟨hal-02334997⟩
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Poster communications

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Wilfried Heyse, Vincent Vandewalle, Philippe Amouyel, Guillemette Marot, Christophe Bauters, et al.. Proteomic signature for early diagnosis of left ventricular remodeling after myocardial infarction. Printemps de la Cardiologie 2020, Oct 2020, Grenoble / Virtual, France. ⟨hal-03124837⟩
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https://inria.hal.science/hal-03124837/file/PC2020_HEYSE_Poster.pdf BibTex

Reports

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Luce Brotcorne, Anne Canteaut, Aline Carneiro Viana, Céline Grandmont, Benjamin Guedj, et al.. Indicateurs de suivi de l’activité scientifique de l’Inria. [Rapport de recherche] Inria. 2020. ⟨hal-03033764⟩
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Theses

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Yaroslav Averyanov. Designing and analyzing new early stopping rules for saving computational resources. Statistics [math.ST]. Université de Lille; Inria, 2020. English. ⟨NNT : ⟩. ⟨tel-03133391⟩
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Preprints, Working Papers, …

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Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor. Upper and Lower Bounds on the Performance of Kernel PCA. 2020. ⟨hal-03084598⟩
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Théophile Cantelobre, Benjamin Guedj, María Pérez-Ortiz, John Shawe-Taylor. A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings. 2020. ⟨hal-03046401⟩
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https://inria.hal.science/hal-03046401/file/2012.03780.pdf BibTex
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Cristian Preda, Quentin Grimonprez, Vincent Vandewalle. cfda: an R Package for Categorical Functional Data Analysis. 2020. ⟨hal-02973094⟩
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Serge Iovleff, Seydou Nourou Sylla, Cheikh Loucoubar. Block clustering of Binary Data with Gaussian Co-variables. 2020. ⟨hal-01961978v2⟩
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2019

Journal articles

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Marie Cuvelliez, Vincent Vandewalle, Maxime Brunin, Olivia Beseme, Audrey Hulot, et al.. Circulating proteomic signature of early death in heart failure patients with reduced ejection fraction. Scientific Reports, 2019, 9, pp.19202. ⟨10.1038/s41598-019-55727-1⟩. ⟨hal-02414293v2⟩
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Sylvain Arlot, Alain Celisse, Zaid Harchaoui. A Kernel Multiple Change-point Algorithm via Model Selection. Journal of Machine Learning Research, 2019, 20 (162), pp.1–56. ⟨hal-00671174v3⟩
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Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini. Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters. Neurocomputing, 2019, 358, pp.81-92. ⟨10.1016/j.neucom.2019.04.072⟩. ⟨hal-01857463v4⟩
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Maxime Baelde, Christophe Biernacki, Raphaël Greff. Real-Time Monophonic and Polyphonic Audio Classification from Power Spectra. Pattern Recognition, 2019, 92, pp.82-92. ⟨10.1016/j.patcog.2019.03.017⟩. ⟨hal-01834221v3⟩
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Armin Eftekhari, Jared Tanner, Andrew Thompson, Bogdan Toader, Hemant Tyagi. Sparse non-negative super-resolution — simplified and stabilised. Applied and Computational Harmonic Analysis, 2019, ⟨10.1016/j.acha.2019.08.004⟩. ⟨hal-02379445⟩
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Margot Selosse, Julien Jacques, Christophe Biernacki, Florence Cousson-Gélie. Analysing a quality of life survey using a co-clustering model for ordinal data and some dynamic implications. Journal of the Royal Statistical Society: Series C Applied Statistics, 2019, 68 (Part 5), pp.1327-1349. ⟨10.1111/rssc.12365⟩. ⟨hal-01643910v3⟩
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Michela Bernardini, Alessia Brossa, Giorgia Chinigo, Guillaume Grolez, Giulia Trimaglio, et al.. Transient Receptor Potential Channel Expression Signatures in Tumor-Derived Endothelial Cells: Functional Roles in Prostate Cancer Angiogenesis. Cancers, 2019, 11 (7), pp.956. ⟨10.3390/cancers11070956⟩. ⟨hal-02404061⟩
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Florent Dewez, Valentin Montmirail. Decrypting the Hill Cipher via a Restricted Search over the Text-Space. Linköping Electronic Conference Proceedings, 2019. ⟨hal-02271395⟩
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Denis A Mogilenko, Joël Haas, Laurent L’Homme, Sébastien Fleury, Sandrine Quemener, et al.. Metabolic and innate immune cues merge into a specific inflammatory response via unfolded protein
response (UPR). Cell, In press, 177 (5), pp.1201-1216.e19. ⟨10.1016/j.cell.2019.03.018⟩. ⟨inserm-02084447⟩
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Hemant Tyagi, Jan Vybiral. Learning general sparse additive models from point queries in high dimensions. Constructive Approximation, 2019, 50, pp.403-455. ⟨10.1007/s00365-019-09461-6⟩. ⟨hal-02379404⟩
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Samuel Blanck, Guillemette Marot. SMAGEXP: a galaxy tool suite for transcriptomics data meta-analysis.. GigaScience, 2019, GigaScience, 8 (2), ⟨10.1093/gigascience/giy167⟩. ⟨hal-03897308⟩
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Sophie Dabo-Niang, Stelian Curceac, Camille Ternynck, Taha B.M.J. Ouarda, Fateh Chebana. Short-term air temperature forecasting using Nonparametric Functional Data Analysis and SARMA models. Environmental Modelling and Software, 2019, 111, pp.394-408. ⟨10.1016/j.envsoft.2018.09.017⟩. ⟨hal-02334991⟩
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Pierre Alliez, Roberto Di Cosmo, Benjamin Guedj, Alain Girault, Mohand-Said Hacid, et al.. Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria. Computing in Science and Engineering, 2019, pp.1-14. ⟨10.1109/MCSE.2019.2949413⟩. ⟨hal-02135891v2⟩
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Mohamed-Salem Ahmed, Sophie Dabo-Niang, Michaël Genin, Alaa Ali Hassan. Partially Linear Spatial Probit Models. Annales de l’ISUP, 2019, 63 (2-3), pp.71-96. ⟨hal-03133818⟩
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Gildas Mazo, Yaroslav Averyanov. Constraining kernel estimators in semiparametric copula mixture models. Computational Statistics and Data Analysis, 2019, 138, pp.170-189. ⟨10.1016/j.csda.2019.04.010⟩. ⟨hal-02620478⟩
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Conference papers

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Luxin Zhang, Christophe Biernacki, Pascal Germain, Yacine Kessaci. Domain Adaptation from a Pre-trained Source Model: Application on fraud detection tasks. CMStatistics 2019 – 12th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2019, London, United Kingdom. ⟨hal-02399003⟩
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Gildas Mazo, Yaroslav Averyanov. Semiparametric mixture models based on copulas. CMStatistics, Dec 2019, London, United Kingdom. ⟨hal-04249019⟩
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Paul Viallard, Rémi Emonet, Pascal Germain, Amaury Habrard, Emilie Morvant. Interpreting Neural Networks as Majority Votes through the PAC-Bayesian Theory. Workshop on Machine Learning with guarantees @ NeurIPS 2019, Dec 2019, Vancouver, Canada. ⟨hal-02335762⟩
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Zakaria Mhammedi, Peter Grünwald, Benjamin Guedj. PAC-Bayes Un-Expected Bernstein Inequality. NeurIPS 2019, Dec 2019, Vancouver, Canada. ⟨hal-02401295⟩
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Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette. Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. NeurIPS 2019 – Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. ⟨hal-02139432v2⟩
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Alexandre Constantin, Mathieu Fauvel, Stéphane Girard, Serge Iovleff, Yannick Tanguy. Classification de Signaux Multidimensionnels Irrégulièrement Echantillonnés. 2019 – Journée Jeunes Chercheurs MACLEAN du GDR MADICS, Dec 2019, Paris, France. pp.1-2. ⟨hal-02394120⟩
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Christophe Biernacki. MASSICCC: A SaaS Platform for Clustering and Co-Clustering of Mixed Data. APSEM 2019 ((Apprentissage et SEMantique)) : éco-systèmes pour la science ouverte et recherche par les données, Oct 2019, Toulouse, France. ⟨hal-02399180⟩
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John Klein, Mahmoud Albardan, Benjamin Guedj, Olivier Colot. Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles. ECML-PKDD, Decentralized Machine Learning at the Edge Workshop, Sep 2019, Wurzburg, Germany. ⟨10.1007/978-3-030-43823-4_26⟩. ⟨hal-01779989⟩
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Christophe Biernacki, Alexandre Lourme. Unifying Data Units and Models in (Co-)Clustering. CLADAG 2019 – 12th Scientific Meeting Classification and Data Analysis Group, Sep 2019, Cassino, Italy. ⟨hal-02398982⟩
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Pierre Dias, Emmanuelle Le Barbenchon, Sophie Fantoni-Quinton, Véronique Christophe, Sophie Dabo-Niang, et al.. Les professions et catégories socioprofessionnelles explicatives du retour au travail suite au cancer du sein. 60e Congrès annuel de la société française de psychologie, Sep 2019, Poitiers, France. ⟨hal-03738611⟩
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V Vandewalle, Camille Ternynck, Guillemette Marot. Linking different kinds of Omics data through a model-based clustering approach. IFCS 2019, Aug 2019, Thessalonique, Greece. ⟨hal-02400525⟩
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Sophie Dabo-Niang. Education in Developing countries. 62st World Statistics Congress, Aug 2019, Kuala Lumpur, Malaysia. ⟨hal-04464566⟩
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Christine Keribin, Christophe Biernacki. Co-clustering: model based or model free approaches. ISI WSC 2019 – 62nd ISI World Statistics Congress, Aug 2019, Kuala Lumpur, Malaysia. ⟨hal-02399031⟩
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Léo Gautheron, Pascal Germain, Amaury Habrard, Gaël Letarte, Emilie Morvant, et al.. Revisite des “random Fourier features” basée sur l’apprentissage PAC-Bayésien via des points d’intérêts. CAp 2019 – Conférence sur l’Apprentissage automatique, Jul 2019, Toulouse, France. ⟨hal-02148600⟩
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Christophe Biernacki, Matthieu Marbac-Lourdelle, Vincent Vandewalle. Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering. 3rd International Conference on Econometrics and Statistics (EcoSta 2019), Jun 2019, Taichung, Taiwan. ⟨hal-02398999⟩
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Sophie Dabo-Niang. Quasi-Maximum Likelihood Estimators For Functional Spatial Autoregressive Models. 7th Statistical Meeting of Avignon-Marseille, Jun 2019, Marseille (13), France. ⟨hal-04464565⟩
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Christophe Biernacki, Margot Corréard. Predictive maintenance solution without additional sensors. Forum TERATEC, Jun 2019, Palaiseau, France. ⟨hal-02399046⟩
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Fabien Laporte, Christophe Biernacki, Gilles Celeux, Julie Josse. Modèles de classification non supervisée avec données manquantes non au hasard. JdS 2019 – 51e journées de statistique de la Sfds, Jun 2019, Nancy, France. ⟨hal-02398984⟩
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Christine Keribin, Christophe Biernacki. Le modèle des blocs latents, une méthode régularisée pour la classification en grande dimension. JdS 2019 – 51èmes Journées de Statistique de la SFdS, Jun 2019, Nancy, France. ⟨hal-02391379⟩
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Gaël Letarte, Emilie Morvant, Pascal Germain. Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior. The 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Japan. ⟨hal-01908555v2⟩
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Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi. SPONGE: A generalized eigenproblem for clustering signed networks. AISTATS, Apr 2019, Okinawa, Japan. ⟨hal-02379505⟩
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Christophe Biernacki, Gilles Celeux, Julie Josse, Fabien Laporte. Dealing with missing data in model-based clustering through a MNAR model. CRoNos & MDA 2019 – Meeting and Workshop on Multivariate Data Analysis and Software, Apr 2019, Limassol, Cyprus. ⟨hal-02103347⟩
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Christophe Biernacki, Matthieu Marbac-Lourdelle, Vincent Vandewalle. Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering. SPSR 2019, Apr 2019, Bucarest, Romania. ⟨hal-02400486⟩
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Poster communications

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Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette. Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. ML with guarantees — NeurIPS 2019 workshop, Dec 2019, Vancouver, Canada. ⟨hal-02482354⟩
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Alexandre Constantin, Mathieu Fauvel, Stéphane Girard, Serge Iovleff. Classification de Signaux Multidimensionnels Irrégulièrement Échantillonnés. GRETSI 2019 – 27e Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France. ⟨hal-02276255⟩
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Fabien Laporte, Christophe Biernacki, Gilles Celeux, Julie Josse. Model-based clustering with missing not at random data. Missing mechanism. Working Group on Model-Based Clustering Summer Session, Jul 2019, Vienne, Austria. ⟨hal-02398987⟩
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Alexandre Constantin, Mathieu Fauvel, Stéphane Girard, Serge Iovleff. Supervised classification of multidimensional and irregularly sampled signals. Statlearn 2019 – Workshop on Challenging problems in Statistical Learning, Apr 2019, Grenoble, France. pp.1. ⟨hal-02092347⟩
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Documents associated with scientific events

ref_biblio
Benjamin Guedj, John Shawe-Taylor. A Primer on PAC-Bayesian Learning. ICML 2019 – Thirty-sixth International Conference on Machine Learning, Jun 2019, Long Beach, United States. 2019. ⟨hal-02537094⟩
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Theses

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Adrien Ehrhardt. Formalization and study of statistical problems in Credit Scoring: Reject inference, discretization and pairwise interactions, logistic regression trees. Methodology [stat.ME]. Université de Lille, 2019. English. ⟨NNT : ⟩. ⟨tel-02302691⟩
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Maxime Baelde. Modèles génératifs pour la classification et la séparation de sources sonores en temps-réel. Méthodologie [stat.ME]. Université de Lille 1, 2019. Français. ⟨NNT : ⟩. ⟨tel-02399081⟩
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Anne-Lise Bedenel. Appariement de descripteurs évoluant dans le temps : application à la comparaison d’assurance. Méthodologie [stat.ME]. Université de Lille I, 2019. Français. ⟨NNT : ⟩. ⟨tel-02399068⟩
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Preprints, Working Papers, …

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Seydou Nourou Sylla, Sophie Dabo-Niang, Cheikh Loucoubar. Functional data analysis of parasite densities in the Senegalese villages of Dielmo and NDiop. 2019. ⟨hal-02335001⟩
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Léo Gautheron, Pascal Germain, Amaury Habrard, Emilie Morvant, Marc Sebban, et al.. Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting. 2019. ⟨hal-02148618⟩
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Jie Zhang, Earl T Barr, Benjamin Guedj, Mark Harman, John Shawe-Taylor. Perturbed Model Validation: A New Framework to Validate Model Relevance. 2019. ⟨hal-02139208v2⟩
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Benjamin Guedj. A Primer on PAC-Bayesian Learning. 2019. ⟨hal-01983732v3⟩
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Adrien Ehrhardt, Christophe Biernacki, Vincent Vandewalle, Philippe Heinrich. Feature quantization for parsimonious and interpretable predictive models. 2019. ⟨hal-01949135v2⟩
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Gildas Mazo, Yaroslav Averyanov. Constraining kernel estimators in semiparametric copula mixture models. 2019. ⟨hal-01774629v3⟩
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2018

Journal articles

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Leila Hamdad, Ouafae Benrabah, Sophie Dabo-Niang. Exploring spectral density estimation for spatial linear process with mixing innovations. Arabian Journal of Mathematics, 2018, 9 (1), pp.101-121. ⟨10.1007/s40065-018-0227-3⟩. ⟨hal-04500320⟩
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Matthieu Marbac, Vincent Vandewalle. A tractable Multi-Partitions Clustering. Computational Statistics and Data Analysis, 2018, ⟨10.1016/j.csda.2018.06.013⟩. ⟨hal-01691417⟩
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Julien Jacques, Christophe Biernacki. Model-Based Co-clustering for Ordinal Data. Computational Statistics and Data Analysis, 2018, 123, pp.101-115. ⟨10.1016/j.csda.2018.01.014⟩. ⟨hal-01448299v2⟩
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Benjamin Guedj, Bhargav Srinivasa Desikan. Pycobra: A Python Toolbox for Ensemble Learning and Visualisation. Journal of Machine Learning Research, 2018, 18, pp.1 – 5. ⟨hal-01514059v3⟩
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Christophe Biernacki, Alexandre Lourme. Unifying Data Units and Models in (Co-)Clustering. Advances in Data Analysis and Classification, 2018, 13, pp.7-31. ⟨10.1007/s11634-018-0325-2⟩. ⟨hal-01653881⟩
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Yosra Ben Slimen, Sylvain Allio, Julien Jacques. Model-Based Co-clustering for Functional Data. Neurocomputing, 2018, 291, pp.97-108. ⟨10.1016/j.neucom.2018.02.055⟩. ⟨hal-01422756⟩
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Ramón Giraldo, Sophie Dabo-Niang, Sergio Martinez. Statistical modeling of spatial big data: An approach from a functional data analysis perspective. Statistics and Probability Letters, 2018, 136, pp.126-129. ⟨10.1016/j.spl.2018.02.025⟩. ⟨hal-01744181⟩
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Clarisse Dhaenens, Julie Jacques, Vincent Vandewalle, Maxence Vandromme, Emmanuel Chazard, et al.. ClinMine: Optimizing the Management of Patients in Hospital. Innovation and Research in BioMedical engineering, 2018, 39 (2), pp.83-92. ⟨10.1016/j.irbm.2017.12.002⟩. ⟨hal-01692197⟩
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Pierre Alquier, Benjamin Guedj. Simpler PAC-Bayesian Bounds for Hostile Data. Machine Learning, 2018, 107 (5), pp.887-902. ⟨10.1007/s10994-017-5690-0⟩. ⟨hal-01385064v3⟩
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Le Li, Benjamin Guedj, Sébastien Loustau. A Quasi-Bayesian Perspective to Online Clustering. Electronic Journal of Statistics , 2018, ⟨10.1214/18-EJS1479⟩. ⟨hal-01264233v4⟩
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Benjamin Guedj, Sylvain Robbiano. PAC-Bayesian High Dimensional Bipartite Ranking. Journal of Statistical Planning and Inference, 2018, ⟨10.1016/j.jspi.2017.10.010⟩. ⟨hal-01226472⟩
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Conference papers

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Sophie Dabo-Niang. Bridging Functional Data Analysis and Spatial Data Modeling. Environmental Econometric Days, Dec 2018, Nador, Morocco. ⟨hal-04464564⟩
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Christine Keribin, Christophe Biernacki. Co-clustering: A versatile way to perform clustering in high dimension. The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), Dec 2018, Pise, Italy. ⟨hal-01949116⟩
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Matthieu Marbac, Christophe Biernacki, Mohammed Sedki, Vincent Vandewalle. A targeted multi-partitions clustering. The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), Dec 2018, Pise, Italy. ⟨hal-01949111⟩
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Christophe Biernacki, Gilles Celeux, Julie Josse, Fabien Laporte. Dealing with missing data in model-based clustering through a MNAR model. CMStatistics 2018 – 11th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2018, Pise, Italy. ⟨hal-01949120⟩
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Margot Selosse, Julien Jacques, Christophe Biernacki. Analyzing large matrices of ordinal data. The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), Dec 2018, Pise, Italy. ⟨hal-01949095⟩
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Sophie Dabo-Niang. Functional linear spatial autoregressive modeling. MATRIX Conference on FDA, Dec 2018, Merlbourne, Australia. ⟨hal-04464558⟩
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Sophie Dabo-Niang. Cell bio-mechanical phenotype and their biological expressions for Cancer diagnosis. MATRIX Conference on FDA, Dec 2018, Melbourne, Australia. ⟨hal-04464560⟩
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Christophe Biernacki, Vincent Vandewalle, Matthieu Marbac. Gaussian-based visualization of Gaussian and non-Gaussian model-based clustering. 23rd International Conference on Computational Statistics, Aug 2018, Iasi, Romania. ⟨hal-01949127⟩
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Vincent Vandewalle, Matthieu Marbac. A tractable multi-partitions clustering. COMPSTAT 2018 – 23rd International Conference on Computational Statistics, Aug 2018, Iasi, Romania. ⟨hal-01956922⟩
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Adrien Ehrhardt, Vincent Vandewalle, Christophe Biernacki, Philippe Heinrich. Supervised multivariate discretization and levels merging for logistic regression. 23rd International Conference on Computational Statistics, Aug 2018, Iasi, Romania. ⟨hal-01949128⟩
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Sophie Dabo-Niang. Spatial nearest neighbor classification and prediction. Application to fisheries data in West African coast. First International Conference on Biomathematics, Jun 2018, Thies (Senegal), Senegal. ⟨hal-04464554⟩
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Serge Iovleff, Seydou Nourou Sylla. blockcluster, simerge and C++ with R. Mixture Models: Theory and Applications, Jun 2018, Paris, France. ⟨hal-01884822⟩
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https://inria.hal.science/hal-01884822/file/Prez-MixtStatSeq.pdf BibTex
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Christophe Biernacki, Benjamin Auder, Gilles Celeux, Josselin Demont, Florent Langrognet, et al.. MASSICCC: A SaaS Platform for Clustering and Co-Clustering of Mixed Data. Workshop MixStatSeq: “Mixture models: Theory and applications”, Jun 2018, Paris, France. ⟨hal-01949175⟩
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Christophe Biernacki. Model selection theory and considerations in large scale scenarios. Research Summer School on Statistics for Data Science – S4D, Jun 2018, Caen, France. ⟨hal-01949168⟩
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Christophe Biernacki. Model-based clustering and co-clusteringin high-dimensional scenarios. Research Summer School on Statistics for Data Science – S4D, Jun 2018, Caen, France. ⟨hal-01949167⟩
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Anne-Lise Bedenel, Laetitia Jourdan, Christophe Biernacki. Probability estimation by an adapted genetic algorithm in web insurance. LION 12 – Learning and Intelligent Optimization Conference, Jun 2018, Kalamata, Greece. ⟨hal-01885117⟩
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https://hal.science/hal-01885117/file/LION12_review.pdf BibTex
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Sophie Dabo-Niang. Binary Functional Linear Models in a Stratified Sampling setting. SLDS/Nonparametric Statistics, Jun 2018, New York (NY), United States. ⟨hal-04464557⟩
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Margot Selosse, Julien Jacques, Christophe Biernacki. Co-clustering de données textuelles et continues. SFdS 2018 – 50èmes Journées de Statistique, May 2018, Saclay, France. ⟨hal-01797493⟩
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C Biernacki. Going further in cluster analysis and classification: Bi-clustering and co-clustering. Summer School on Clustering, Data Analysis and Visualization of Complex Data, May 2018, Catania, Italy. ⟨hal-01810380⟩
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Christophe Biernacki. Introduction to cluster analysis and classification: Formalizing clustering. Summer School on Clustering, Data Analysis and Visualization of Complex Data, May 2018, Catania, Italy. ⟨hal-01810379⟩
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https://inria.hal.science/hal-01810379/file/slides-prez3.pdf BibTex
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Christophe Biernacki. Introduction to cluster analysis and classification: Performing clustering. Summer School on Clustering, Data Analysis and Visualization of Complex Data, May 2018, Catania, Italy. ⟨hal-01810376⟩
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Christophe Biernacki. Introduction to cluster analysis and classification: Evaluating clustering. Summer School on Clustering, Data Analysis and Visualization of Complex Data, May 2018, Catania, Italy. ⟨hal-01810377⟩
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Anne-Lise Bedenel, Laetitia Jourdan, Christophe Biernacki. Estimation de probabilités par algorithme génétique. ROADEF2018, Feb 2018, Lorient, France. ⟨hal-01868195⟩
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Habilitation à diriger des recherches

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Alain Celisse. Contributions à la calibration d’algorithmes d’apprentissage : Validation-croisée et détection de ruptures. Statistics [math.ST]. Université de Lille, 2018. ⟨tel-02050179⟩
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Poster communications

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Asmita Poddar, Serge Iovleff, Florent Latimier. Estimation of Parsimonious Covariance Models for Gaussian Matrix Valued Random Variables for Multi-Dimensional Spectroscopic Data. WiML 2018 – 13th Women in Machine Learning workshop, Dec 2018, Montreal, Canada. 2018. ⟨hal-01954769⟩
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Margot Selosse, Julien Jacques, Christophe Biernacki. mixedClust: an R package for mixed data classiication, clustering and co-clustering. 25th Summer Session Working Group on Model-Based Clustering, Jul 2018, Ann Arbor, United States. ⟨hal-01949171⟩
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Mamadou Ndiaye, Mohamed-Salem Ahmed, Abdoulaye Sarré, Ahmed Taleb, Salaheddine El Ayoubi, et al.. Unsupervised functional classification applied on high resolution oceanographic data in Canaries Current Large Marine Ecosystem : toward fine scale analysis. Brehmer, Patrice. ICAWA : International Conference AWA, Apr 2018, Lanzarote, Spain. SRFC/CSRP; IRD, pp.148, 2019. ⟨hal-02780072⟩
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Reports

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Gildas Mazo, Yaroslav Averyanov. Constraining kernel estimators in semiparametric copula mixture models. [0] 2018, 23 p. ⟨hal-02788582⟩
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2017

Journal articles

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Sophie Dabo-Niang, Aboubacar Amiri. Density estimation over spatio-temporal data streams. Econometrics and Statistics , 2017, ⟨10.1016/j.ecosta.2017.08.005⟩. ⟨hal-01654081⟩
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Elise Hebbinckuys, Jean-Pierre Marissal, Cristian Preda, Valérie Leclercq. Assessing the burden of Clostridium difficile infections for hospitals. Journal of Hospital Infection, 2017, pp.1-7. ⟨10.1016/j.jhin.2017.08.023⟩. ⟨hal-01655460⟩
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Md Abul Hasnat, Julien Velcin, Stephane Bonnevay, Julien Jacques. Evolutionary clustering for categorical data using parametric links among multinomial mixture models. Econometrics and Statistics , 2017, 3, pp.141-159. ⟨10.1016/j.ecosta.2017.03.004⟩. ⟨hal-01204613v3⟩
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Mohamed-Salem Ahmed, Mohammed Kadi Attouch, Sophie Dabo-Niang. Binary functional linear models under choice-based sampling. Econometrics and Statistics , 2017, ⟨10.1016/j.ecosta.2017.07.001⟩. ⟨hal-01654079⟩
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Emmanuel Chazard, Grégoire Ficheur, Jean-Baptiste Beuscart, Cristian Preda. How to Compare the Length of Stay of Two Samples of Inpatients? A Simulation Study to Compare Type I and Type II Errors of 12 Statistical Tests. Value in Health, 2017, 20 (7), pp.992 – 998. ⟨10.1016/j.jval.2017.02.009⟩. ⟨hal-01655463⟩
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Julie Dubois, Vanessa Dubois, Hélène Dehondt, Parisa Mazrooei, Claire Mazuy, et al.. The logic of transcriptional regulator recruitment architecture at cis-regulatory modules controlling liver functions. Genome Research, 2017, Genome research, 27 (6), pp.985-996. ⟨10.1101/gr.217075.116⟩. ⟨hal-01647846⟩
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Parmeet Bhatia, Serge Iovleff, Gérard Govaert. blockcluster: An R Package for Model Based Co-Clustering. Journal of Statistical Software, 2017, 76 (9), pp.24. ⟨10.18637/jss.v076.i09⟩. ⟨hal-01093554⟩
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Pierre Alquier, Benjamin Guedj. An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization. Mathematical Methods of Statistics, 2017, 26 (1), pp.55 – 67. ⟨10.3103/S1066530717010045⟩. ⟨hal-01251878v4⟩
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Parmeet Bathia, Serge Iovleff, Gérard Govaert. An R Package and C++ library for Latent block models: Theory, usage and applications. Journal of Statistical Software, 2017, 76 (9), pp.1-24. ⟨hal-01285610⟩
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Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Model-based clustering of Gaussian copulas for mixed data. Communications in Statistics – Theory and Methods, 2017, 46 (23), pp.11635-11656. ⟨10.1080/03610926.2016.1277753⟩. ⟨hal-00987760v4⟩
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Conference papers

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Vincent Vandewalle, Thierry Mottet, Matthieu Marbac. Model-based variable clustering. CMStatistics/ERCIM 2017 – 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2017, London, United Kingdom. pp.1-19. ⟨hal-01691421⟩
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Pierre Dias, Isabelle Milhabet, Sophie Fantoni-Quinton, Sophie Dabo-Niang, Véronique Christophe. Importance des catégories socioprofessionnelles dans le rapport cognitif et émotionnel au cancer du sein et à sa prise en charge. SFP 2017 – 58ème congrès annuel de la société française de psychologie, Aug 2017, Nice, France. ⟨hal-01943498⟩
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Vincent Vandewalle. Simultaneous dimension reduction and multi-objective clustering
. IFCS 2017 – Conference of the International Federation of Classification Societies, Aug 2017, Tokyo, Japan. pp.1-29. ⟨hal-01662271⟩
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Faicel Chamroukhi, Christophe Biernacki. Model-Based Co-Clustering of Multivariate Functional Data. ISI 2017 – 61st World Statistics Congress, Jul 2017, Marrakech, Morocco. ⟨hal-01653782⟩
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Pierre Dias, Isabelle Milhabet, Sophie Fantoni-Quinton, Sophie Dabo-Niang, Véronique Christophe. Optimisme, qualité de vie et capacités cognitives dans le parcours professionnel des femmes atteintes du cancer du sein. 10ème Congrès International de Psychologie Sociale Appliquée, Jul 2017, Lille, France. ⟨hal-03738617⟩
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Serge Iovleff, Mathieu Fauvel, Stéphane Girard, Cristian Preda, Vincent Vandewalle. Mixture Models with Missing data Classication of Satellite Image Time Series: QUALIMADOS: Atelier Qualité des masses de données scientiques. Journées Science des Données MaDICS 2017, Jun 2017, Marseille, France. pp.1-60. ⟨hal-01649206⟩
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Christophe Biernacki, Alexandre Lourme. Introduction Units in model-based clustering Units in model-based co-clustering Conclusion Unifying Data Units and Models in (Co-)Clustering. 2017 – Classification Society Conference, Jun 2017, Santa Clara, United States. pp.1-38. ⟨hal-01653896⟩
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Vincent Vandewalle, Christophe Biernacki. Survival analysis with complex covariates: a model-based clustering preprocessing step. IEEE PHM 2017, Jun 2017, Dallas, United States. ⟨hal-01667588⟩
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Christophe Biernacki, Alexandre Lourme. Units in model-based clustering Units in model-based co-clustering . 24e rencontres de la Société Francophone de Classification, Jun 2017, Lyon, France. ⟨hal-01653899⟩
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Maxime Baelde, Christophe Biernacki, Raphaël Greff. Classification de signaux audio en temps-réel par un modèle de mélanges d’histogrammes. JDS 2017 – 49e Journées de Statistiques, May 2017, Avignon, France. ⟨hal-01592496⟩
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Adrien Ehrhardt, Christophe Biernacki, Vincent Vandewalle, Philippe Heinrich, Sébastien Beben. Réintégration des refusés en Credit Scoring. 49e Journées de Statistique, May 2017, Avignon France. ⟨hal-01653767⟩
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Maxime Brunin, Christophe Biernacki, Alain Celisse. Compromis précision – temps de calcul appliqué au problème de régression linéaire. 2017 – 49e Journées de Statistique de la SFdS, May 2017, Avignon, France. pp.1-6. ⟨hal-01653754⟩
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Vincent Vandewalle, Christophe Biernacki. Dealing with missing data through mixture models. ICB Seminars 2017 – 154th Seminar on ”Statistics and clinical practice”, May 2017, Varsovie, Poland. pp.1-3. ⟨hal-01667614⟩
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Christophe Biernacki, Alexandre Lourme, Maxime Brunin, Alain A. Celisse. About Two Disinherited Sides of Statistics: Data Units and Computational Saving. Statlearn 2017, Apr 2017, Lyon, France. pp.1-56. ⟨hal-01665905⟩
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Christophe Biernacki. About Two Disinherited Sides of Statistics: Data Units and Computational Saving. StatLearn 2017 – 8th Workshop and tutorials on challenging issues in statistical learning, Apr 2017, Lyon, France. ⟨hal-01653889⟩
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Maxime Baelde, Christophe Biernacki, Raphaël Greff. A mixture model-based real-time audio sources classification method. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP2017, Mar 2017, New Orleans, United States. ⟨hal-01420677v2⟩
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Book sections

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Christophe Biernacki. Mixture models. J-J. Droesbeke; G. Saporta; C. Thomas-Agnan. Choix de modèles et agrégation, Technip, 2017, 9782710811770. ⟨hal-01252671⟩
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https://inria.hal.science/hal-01252671/file/JES2014-chap1.pdf BibTex
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Christophe Biernacki, Cathy Maugis. High-dimensional clustering. Choix de modèles et agrégation, Sous la direction de J-J. DROESBEKE, G. SAPORTA, C. THOMAS-AGNAN Edition: Technip., , 2017, 9782710811770. ⟨hal-01252673v2⟩
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Poster communications

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Adrien Ehrhardt, Christophe Biernacki, Vincent Vandewalle, Philippe Heinrich. Model-based multivariate discretization for logistic regression. Data Science Summer School, Aug 2017, Paris, France. 2017. ⟨hal-02075126⟩
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Vincent Vandewalle. Simultaneous dimension reduction and multi-objective clustering. Statlearn’17, Lyon: 4-7 april 2017, Apr 2017, Lyon, France. ⟨hal-03183333⟩
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https://inria.hal.science/hal-03183333/file/posterGlasgow.pdf BibTex
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Maxime Baelde, Christophe Biernacki, Raphaël Greff. Real-time Audio Classification based on Mixture Models. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2017), Mar 2017, La Nouvelle-Orléans, United States. . ⟨hal-01481934⟩
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Pierre Dias, Isabelle Milhabet, Sophie Fantoni-Quinton, Sophie Dabo-Niang, Véronique Christophe. Parcours professionnel et perception de la qualité de vie chez les femmes atteintes d’un cancer. 8ème Colloque du Cancéropôle PACA, Mar 2017, Marseille, France. ⟨hal-01943505⟩
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2016

Journal articles

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Azzouz Dermoune, Cristian Preda. Parametrizations, fixed and random effects. Journal of Multivariate Analysis, 2016, 154, pp.162 – 176. ⟨10.1016/j.jmva.2016.11.001⟩. ⟨hal-01424782⟩
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https://hal.science/hal-01424782/file/dermoune_preda.pdf BibTex
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Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Latent class model with conditional dependency per modes to cluster categorical data. Advances in Data Analysis and Classification, 2016, 10 (2), pp.183-207. ⟨10.1007/s11634-016-0250-1⟩. ⟨hal-00950112v2⟩
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Pierre Masselot, Sophie Dabo-Niang, Fateh Chebana, Taha B.M.J. Ouarda. Streamflow forecasting using functional regression. Journal of Hydrology, 2016, 538, pp.754-766. ⟨10.1016/j.jhydrol.2016.04.048⟩. ⟨hal-01425931⟩
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Sophie Dabo-Niang, Camille Ternynck, Anne-Françoise Yao. Nonparametric prediction in the multivariate spatial context. Journal of Nonparametric Statistics, 2016, 28 (2), pp.428-458. ⟨10.1080/10485252.2016.01.007⟩. ⟨hal-01425932⟩
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Julien Jacques, Cyril Ruckebusch. Model-based co-clustering for hyperspectral images. Journal of Spectral Imaging, 2016, 5, pp.a3-1 – a3-6. ⟨10.1255/jsi.2016.a3⟩. ⟨hal-01367941⟩
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Charles Herbaux, Elisabeth Bertrand, Guillemette Marot, Christophe Roumier, Nicolas Poret, et al.. BACH2 promotes indolent clinical presentation in Waldenström macroglobulinemia. Oncotarget, 2016. ⟨hal-01423307⟩
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Sophie Dabo-Niang, Serge Guillas, Camille Ternynck. More efficient kernel functional regression estimation with correlated errors. Journal of Multivariate Analysis, 2016, ⟨10.1016/j.jmva.2016.01.007⟩. ⟨hal-01425933⟩
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Christophe Biernacki, Julien Jacques. Model-Based Clustering of Multivariate Ordinal Data Relying on a Stochastic Binary Search Algorithm. Statistics and Computing, 2016, 26 (5), pp.929-943. ⟨10.1007/s11222-015-9585-2⟩. ⟨hal-01052447v2⟩
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Aboubacar Amiri, Sophie Dabo-Niang, Mohamed Yahaya. Non-parametric recursive density estimation for spatial data. Comptes Rendus. Mathématique, 2016, ⟨10.1016/j.crma.2015.10.010⟩. ⟨hal-01425935⟩
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Loïc Yengo, Julien Jacques, Christophe Biernacki, Mickael Canouil. Variable Clustering in High-Dimensional Linear Regression: The R Package clere. The R Journal, 2016, 8 (1), pp.92-106. ⟨10.32614/RJ-2016-006⟩. ⟨hal-00940929⟩
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Conference papers

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Hiba Alawieh, Nicolas Wicker, Christophe Biernacki. Projection under pairwise distance control. 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016, ERCIM 2016), Dec 2016, Séville, Spain. ⟨hal-01420681⟩
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Christophe Biernacki, Maxime Brunin, Alain Celisse. Computation time/accuracy trade-off and linear regression. 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016, ERCIM 2016), Dec 2016, Séville, Spain. ⟨hal-01420659⟩
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Christophe Biernacki. BigStat for Big Data: Big Data clustering through the BigStat SaaS platform. Journée scientifique « Big Data & Data science », Oct 2016, Tunis, Tunisia. ⟨hal-01420650⟩
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Christophe Biernacki, Alexandre Lourme. Unifying Data Units and Models in Statistics: Focus on (Co-)Clustering. Workshop on Model-based Clustering and Classification (MBC2), Sep 2016, Catania, Italy. ⟨hal-01420657⟩
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Julien Jacques, Christophe Biernacki. Model-Based Co-clustering for Ordinal Data. Working Group on Model-Based Clustering Summer Session, Jul 2016, Paris, France. ⟨hal-01420648⟩
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Christophe Biernacki, Gwenaelle Castellan, Stephane Chretien, Benjamin Guedj, Vincent Vandewalle. Pitfalls in Mixtures from the Clustering Angle. Working Group on Model-Based Clustering Summer Session, Jul 2016, Paris, France. ⟨hal-01419755⟩
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Julien Jacques, Cyril Ruckebusch. Co-clustering for hyperspectral images.. 6th International Conference in Spectral Imaging, Jul 2016, Chamonix, France. ⟨hal-01383918⟩
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Maxime Brunin, Christophe Biernacki, Alain Celisse. Compromis précision-temps de calcul appliqué au problèeme de détection de ruptures. 48èmes Journées de Statistique de la SFdS, May 2016, Montpellier, France. ⟨hal-01420669⟩
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Anne-Lise Bedenel, Christophe Biernacki, Laetitia Jourdan. Appariement de descripteurs évoluant en temps : Application à la comparaison d’assurance en ligne. 48èmes Journées des Statistiques Française, May 2016, Montpellier, France. ⟨hal-01381766⟩
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Julien Jacques, Christophe Biernacki. Model-based co-clustering for ordinal data. 48èmes Journées de Statistique organisée par la Société Française de Statistique, 2016, Montpellier, France. ⟨hal-01383927⟩
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Poster communications

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Vincent Vandewalle, Cristian Preda. Clustering categorical functional data Application to medical discharge letters Medical discharge letters. Working Group on Model-Based Clustering Summer Session: Paris, July 17-23, 2016, Jul 2016, Paris, France. 2016. ⟨hal-01424950⟩
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Quentin Grimonprez, Alain Celisse, Guillemette Marot. Variable selection by exploiting correlation. XXVIIIth International Biometric Conference, Jul 2016, Victoria, Canada. . ⟨hal-04031191⟩
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Documents associated with scientific events

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Vincent Vandewalle. Simultaneous dimension reduction and multi-objective clustering using probabilistic factorial discriminant analysis. CMStatistics 2016, Dec 2016, Sevilla, Spain. ⟨hal-01424965⟩
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Preprints, Working Papers, …

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Alain Celisse, Guillemette Marot, Morgane Pierre-Jean, Guillem Rigaill. New efficient algorithms for multiple change-point detection with kernels. 2016. ⟨hal-01413230v2⟩
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Alain Celisse, Benjamin Guedj. Stability revisited: new generalisation bounds for the Leave-one-Out. 2016. ⟨hal-01355365⟩
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Stephane Bouka, Sophie Dabo-Niang, Guy Martial Nkiet. On estimation in spatial functional linear regression model. 2016. ⟨hal-01516615⟩
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Sophie Dabo-Niang, Mohamed-Salem Ahmed. Generalized Functional Linear Models under Choice-Based Sampling. 2016. ⟨hal-01345918⟩
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https://inria.hal.science/hal-01345918/file/CML%20-%2010-01.pdf BibTex
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Le Li, Benjamin Guedj, Sébastien Loustau. Clustering en ligne : le point de vue PAC-bayésien. 2016. ⟨hal-01264934⟩
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2015

Journal articles

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Sophie Dabo-Niang, Camille Ternynck, Fateh Chebana, Mohamed Ali Ben Alaya, Taha Ouarda. Streamflow hydrograph classification using functional data analysis. Journal of Hydrometeorology, 2015, ⟨10.1175/JHM-D-14-0200.1⟩. ⟨hal-01206807⟩
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Stephanie Poulain, Christophe Roumier, Aurelie Venet-Caillault, Martin Figeac, Charles Herbaux, et al.. Genomic landscape of CXCR4 mutations in Waldenstrom’s Macroglobulinemia. Clinical Cancer Research, 2015, 21 (22), ⟨10.1158/1078-0432.CCR-15-0646⟩. ⟨hal-01230058⟩
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Rémi Lebret, Serge Iovleff, Florent Langrognet, Christophe Biernacki, Gilles Celeux, et al.. Rmixmod: The R Package of the Model-Based Unsupervised, Supervised and Semi-Supervised Classification Mixmod Library. Journal of Statistical Software, 2015, 67 (6), pp.241-270. ⟨10.18637/jss.v067.i06⟩. ⟨hal-00919486⟩
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Sophie Dabo-Niang, Guy-Martial Nkiet, Stéphane Bouka. Non-parametric level set estimation for spatial data. Advances and Applications in Statistics, 2015, 46 (2), pp.119 – 158. ⟨10.17654/ADASAug2015_119_158⟩. ⟨hal-01206787⟩
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Serge Iovleff. Probabilistic Auto-Associative Models and Semi-Linear PCA. Advances in Data Analysis and Classification, 2015, 9 (3), pp.20. ⟨10.1007/s11634-014-0185-3⟩. ⟨hal-00734070v2⟩
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Sophie Dabo-Niang, Anne-Françoise Yao, Camille Ternynck. A new spatial regression estimator in the multivariate context. Comptes rendus de l’Académie des sciences. Série I, Mathématique, 2015, 353 (7), pp.635 – 639. ⟨10.1016/j.crma.2015.04.004⟩. ⟨hal-01206781⟩
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Sophie Dabo-Niang, Ali Laksaci, Zoulikha Kaid. On spatial conditional quantile estimation for a functional regressor. AStA Advances in Statistical Analysis, 2015. ⟨hal-01206774⟩
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Charles Bouveyron, Etienne Côme, Julien Jacques. The discriminative functional mixture model for a comparative analysis of bike sharing systems
. Annals of Applied Statistics, 2015, 9 (4), pp.1726-1760. ⟨10.1214/15-AOAS861⟩. ⟨hal-01024186v3⟩
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Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Model-based clustering for conditionally correlated categorical data. Journal of Classification, 2015, 2 (32), pp.145-175. ⟨10.1007/s00357⟩. ⟨hal-00787757v3⟩
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Khalid Benabdeslem, Christophe Biernacki, Mustapha Lebbah. Les trois défis du Big-Data: Eléments de reflexion. Statistique et Société, 2015, 3 (1), pp.19-22. ⟨hal-01198435⟩
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Conference papers

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Cristian Preda. Regression with categorical functional data. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2015, Londres, United Kingdom. ⟨hal-01251289⟩
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Christophe Biernacki, Thibault Deregnaucourt, Vincent Kubicki. Model-based clustering with mixed/missing data using the new software MixtComp. CMStatistics 2015 (ERCIM 2015), Dec 2015, London, United Kingdom. ⟨hal-01249829⟩
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Vincent Vandewalle, C Biernacki. An efficient SEM algorithm for Gaussian Mixtures with missing data. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2015, Londres, United Kingdom. ⟨hal-01242588⟩
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Vincent Vandewalle, Cristina Cozma, Cristian Preda. Clustering categorical functional data Application to medical discharge letters. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2015, Londres, France. ⟨hal-01251284⟩
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Julien Jacques. The discriminative functional mixture model for a comparative analysis of bike sharing systems. CMStatistics 2015, 8th International Conference of the ERCIM working group on Computational and Methodological Statistics, Dec 2015, London, United Kingdom. ⟨hal-01241254⟩
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Md Abul Hasnat, Julien Velcin, Stéphane Bonnevay, Julien Jacques. Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study. Intelligent Data Analysis, Oct 2015, Saint Etienne, France. ⟨hal-01203561⟩
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C Biernacki. Clustering: evolution of methods to meet new challenges. Journée thématique Clustering, Orange Labs, Oct 2015, Issy Les Moulineaux, France. ⟨hal-01253394⟩
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Quentin Grimonprez, Alain Celisse, Guillemette Marot. Sélection de groupes de variables corrélées par classification ascendante hiérarchique et group-lasso. Sixièmes rencontres des jeunes statisticiens, SFdS, Aug 2015, Le Teich, France. ⟨hal-01238253⟩
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Maxime Brunin, Christophe Biernacki, Alain Celisse. Compromis précision-temps de calcul et détection de ruptures. 6ème Rencontres des Jeunes Statisticiens, Aug 2015, Le Teich, France. ⟨hal-01238276⟩
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Sophie Dabo-Niang. Spatial Risk estimation and Applications. African Women in Mathematics Association Conference, Jul 2015, Navaisha, Kenya. ⟨hal-01206866⟩
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Julien Jacques. Clustering multivariate ranking data. 60th World Statistics Congress – ISI2015, Jul 2015, Rio de Janeiro, Brazil. ⟨hal-01241256⟩
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Serge Iovleff. Rtkpp: Un package pour faire l’interface entre R et la bibliothèque STK++. Quatrièmes Rencontres R, Jun 2015, Grenoble, France. ⟨hal-01253792⟩
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Christophe Biernacki. MixtComp software: Model-based clustering/imputation with mixed data, missing data and uncertain data. MISSDATA 2015, Jun 2015, Rennes, France. ⟨hal-01253393⟩
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Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Model-based clustering of categorical data by relaxing conditional independence. Classification Society Meeting, Mc Master University, Jun 2015, Hamilton, Ontario, Canada. ⟨hal-01238334⟩
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Quentin Grimonprez, Alain Celisse, Guillemette Marot. Sélection de groupes de variables corrélées par classification ascendante hiérarchique et group-lasso. 47èmes Journées de Statistique, Jun 2015, Lille, France. ⟨hal-01238248⟩
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Florence Loingeville, Julien Jacques, Cristian Preda, Philippe Guarini, Olivier Molinier. Modèle Linéaire Généralisé Hiérarchique Gamma-Poisson à 3 facteurs aléatoires – Application au contrôle de qualité. 47èmes Journées de Statistique, Société Française de Statistique, Jun 2015, Lille, France. ⟨hal-01152840⟩
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Sophie Dabo-Niang. Spatial risk estimation and application to biomedical data. Tunisian Association of Statistics and Applications Conference, Mar 2015, Hammamet, Tunisia. ⟨hal-01206865⟩
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Charles Bouveyron, Julien Jacques. Un algorithme EM pour une version parcimonieuse de l’analyse en composantes principales probabiliste. EGC 2015 – 15ème conférence internationale sur l’extraction et la gestion des connaissances, Jan 2015, Luxembourg, Luxembourg. ⟨hal-01241262⟩
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Charles Bouveyron, Julien Jacques. funFEM: an R package for functional data clustering. Quatrième Rencontres R, 2015, Grenoble, France. ⟨hal-01383951⟩
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Documents associated with scientific events

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Chloé Friguet, Frédérique Letué, Vincent Vandewalle. Table ronde : “pourquoi et comment enseigner l’analyse de données massives (big data)”. 47èmes Journées de Statistique de la SFdS, Jun 2015, Lille, France. ⟨hal-01250812⟩
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Theses

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Clément Théry. Model-based covariable decorrelation in linear regression (CorReg). Application to missing data and to steel industry. Methodology [stat.ME]. Université Lille 1, 2015. English. ⟨NNT : ⟩. ⟨tel-01249789⟩
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Preprints, Working Papers, …

ref_biblio
Sophie Dabo-Niang, Aboubacar Amiri, Mohamed Yahaya. Non-parametric recursive density estimation for space-time data-stream. 2015. ⟨hal-01206833⟩
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Sophie Dabo-Niang, Aladji Bassene, Aliou Diop. Conditional tail index estimation for random fields: fixed design case. 2015. ⟨hal-01206824⟩
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Sophie Dabo-Niang, Aliou Diop, Aladji Bassene. A note on conditional tail index estimation for random fields.. 2015. ⟨hal-01206809⟩
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Sophie Dabo-Niang, Aladji Bassene, Aliou Diop. Kernel estimation of conditional tail index and quantile estimation for random fields
. 2015. ⟨hal-01206829⟩
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Sophie Dabo-Niang, Aboubacar Amiri, Mohamed Yahaya. Non-parametric recursive density estimation for spatial data. 2015. ⟨hal-01206814⟩
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Sophie Dabo-Niang, Baba Thiam. Nonparametric estimation of a regression function for spatial data with errors.. 2015. ⟨hal-01206832⟩
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Alain Celisse, Tristan Mary-Huard. Theoretical analysis of cross-validation for estimating the risk of the k-Nearest Neighbor classifier
. 2015. ⟨hal-01185092v2⟩
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Jérémie Kellner, Alain Celisse. A One-Sample Test for Normality with Kernel Methods. 2015. ⟨hal-01175237⟩
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Julie Hamon, Gaël Even, Romain Dassonneville, Julien Jacques, Clarisse Dhaenens. Use of a novel evolutionary algorithm for genomic selection. 2015. ⟨hal-01100660⟩
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2014

Journal articles

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Quentin Grimonprez, Alain Celisse, Samuel Blanck, Meyling Cheok, Martin Figeac, et al.. MPAgenomics : An R package for multi-patients analysis of genomic markers. BMC Bioinformatics, 2014, 15, pp.394. ⟨10.1186/s12859-014-0394-y⟩. ⟨hal-00933614v3⟩
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Sophie Dabo-Niang, Zoulikha Kaid, Ali Laksaci. Asymptotic properties of the kernel estimate of spatial conditional mode when the regressor is functional. AStA Advances in Statistical Analysis, 2014, 99 (2), pp.131–160. ⟨10.1007/s10182-014-0233-5⟩. ⟨hal-01592786⟩
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Sophie Dabo-Niang, Leila Hamdad, Camille Ternynck, Anne-Françoise Yao. A kernel spatial density estimation allowing for the analysis of spatial clustering. Application to Monsoon Asia Drought Atlas data. Stochastic Environmental Research and Risk Assessment, 2014, 28, pp.2075-2099. ⟨10.1007/s00477-014-0903-6⟩. ⟨hal-01094743⟩
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Julien Jacques, Christophe Biernacki. Model-based clustering for multivariate partial ranking data. Journal of Statistical Planning and Inference, 2014, 149, pp.201-217. ⟨hal-00743384⟩
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Julien Jacques, Quentin Grimonprez, Christophe Biernacki. Rankcluster: An R package for clustering multivariate partial rankings. The R Journal, 2014, 6 (1), pp.10. ⟨10.32614/rj-2014-010⟩. ⟨hal-00840692v3⟩
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Emil Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki. Mixture of Gaussians for Distance Estimation with Missing Data. Neurocomputing, 2014, 131, pp.32-42. ⟨10.1016/j.neucom.2013.07.050⟩. ⟨hal-00921023v2⟩
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Julien Jacques, Cristian Preda. Model-based clustering for multivariate functional data. Computational Statistics and Data Analysis, 2014, 71, pp.92-106. ⟨10.1016/j.csda.2012.12.004⟩. ⟨hal-00713334v2⟩
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Alexandru Amarioarei, Cristian Preda. Approximations for two-dimensional discrete scan statistics in some block-factor type dependent models. Journal of Statistical Planning and Inference, 2014, 151-152, pp.14. ⟨10.1016/j.jspi.2014.05.002⟩. ⟨hal-01092993⟩
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Julien Jacques, Cristian Preda. Functional data clustering: a survey. Advances in Data Analysis and Classification, 2014, 8 (3), pp.24. ⟨10.1007/s11634-013-0158-y⟩. ⟨hal-00771030⟩
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Loïc Yengo, Julien Jacques, Christophe Biernacki. Variable clustering in high dimensional linear regression models. Journal de la Société Française de Statistique, 2014, Numéro spécial : analyse des données en grande dimension, 155 (2), pp.38-56. ⟨hal-00764927v2⟩
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Sophie Dabo-Niang, Sidi Ali Ould Abdi, Ahmedoune Ould Abdi, Aliou Diop. Consistency of a nonparametric conditional mode estimator for random fields. Statistical Methods and Applications, 2014, pp.21. ⟨10.1007/s10260-013-0239-2⟩. ⟨hal-00921178⟩
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Andrea Rau, Guillemette Marot, Florence Jaffrezic. Differential meta-analysis of RNA-seq data from multiple studies. BMC Bioinformatics, 2014, 15 (1), pp.91. ⟨10.1186/1471-2105-15-91⟩. ⟨hal-00978902⟩
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Nathalie Martin, Clara Salazar-Cardozo, Chantal Vercamer, Louise Ott, Guillemette Marot, et al.. Identification of a gene signature of a pre-transformation process by senescence evasion in normal human epidermal keratinocytes. Molecular Cancer, 2014, 13 (1), pp.151. ⟨10.1186/1476-4598-13-151⟩. ⟨hal-01011012⟩
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Conference papers

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Sophie Dabo-Niang. More efficient kernel functional spatial regression estimation with autocorrelated errors. ERCIM, Dec 2014, Pise, Italy. ⟨hal-01206861⟩
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Julien Jacques, Christophe Biernacki. Clustering multivariate ordinal data. ERCIM 2014 – The 7th International Conference of the ERCIM working group on Computational and Methodological Statistics, Dec 2014, Pisa, Italy. ⟨hal-01100630⟩
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Sophie Dabo-Niang, Serge Guillas, Camille Ternynck. Efficiency in functional nonparametric models withautoregressive errors. ERCIM, Dec 2014, Pise, Italy. ⟨hal-01094762⟩
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Sophie Dabo-Niang. Streamflow forecasting using functional regression. STAHY 14, Nov 2014, Abu-Dhabi, United Arab Emirates. ⟨hal-01206858⟩
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Sophie Dabo-Niang. Advances in spatial epidemiological modeling. Second conference of the International Society for NonParametric Statistics (ISNPS), Jul 2014, Cadiz, Spain. ⟨hal-01206857⟩
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Sophie Dabo-Niang. Statistical modeling of spatial functional data: application to biomedical data. ISNPS conférence, Jun 2014, Cadiz, Estonia. ⟨hal-01094757⟩
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Jérémie Kellner, Alain Celisse. High-dimensional test for normality. Journées des Statistiques, Jun 2014, Rennes, France. ⟨hal-01091513⟩
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Florence Loingeville, Julien Jacques, Cristian Preda, Philippe Guarini, Olivier Molinier. Analyse de variance à 2 facteurs imbriqués sur données de comptage – Application au contrôle de qualité. 46e Journées de Statistique, Jun 2014, Rennes, France. 6 p. ⟨hal-00986457⟩
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Clément Théry, Christophe Biernacki, Gaétan Loridant. CorReg : Préselection de variables en régression linéaire avec fortes corrélations. 46° journées de statistiques, SFDS, Jun 2014, Rennes, France. ⟨hal-01092964⟩
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Quentin Grimonprez, Alain Celisse, Guillemette Marot. Analyse multi-patients de données génomiques. 46e Journées de Statistique, SFDS, Jun 2014, Rennes, France. ⟨hal-01091476⟩
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Christophe Biernacki, Gwénaelle Castellan. A Data-Driven Bound on Covariance Matrices for Avoiding Degeneracy in Multivariate Gaussian Mixtures. 46° Journées de Statistique, Jun 2014, Rennes, France. ⟨hal-01099080⟩
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Loïc Yengo, Julien Jacques, Christophe Biernacki. Variable Clustering in High Dimensional Probit Regression Models.. 46èmes Journées de Statistique organisée par la Société Française de Statistique, 2014, Rennes, France. ⟨hal-01100633⟩
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Book sections

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Julien Jacques, Didier Fraix-Burnet. Linear Regression in High Dimension and/or for Correlated Inputs. D; Fraix-Burnet; D. Valls-Gabaud. Statistics for Astrophysics Methods and Applications of the Regression, 66, EDP Sciences, pp.149-165, 2014, EAS Publications Series, 978-2-7598-1729-0. ⟨10.1051/eas/1466011⟩. ⟨hal-01115109⟩
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Poster communications

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Quentin Grimonprez, Alain Celisse, Guillemette Marot. Analysis of genomic markers: Make it easy with the R package MPAgenomics. SMPGD 2014, Jan 2014, Paris, France. , 2014. ⟨hal-01091543⟩
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Reports

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Mohamed Attouch, Mohamed Salem Ahmed, Sophie Dabo-Niang, Aliou Diop. k-nearest neighbors method estimation of regression function for spatial dependent data. [Research Report] 2014. ⟨hal-00943647⟩
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Stéphane Bouka, Sophie Dabo-Niang, Ghislaine Gayraud, Guy-Martial Nkiet. Minimax testing in a spatial discrete regression scheme. [Research Report] 2014. ⟨hal-00943645⟩
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Sophie Dabo-Niang, Camille Ternynck, Anne-Françoise Yao. A new spatial regression estimator in the multivariate context. [Research Report] 2014. ⟨hal-00943646⟩
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Jérémie Kellner, Alain Celisse. New goodness-of-fit tes for normality in RKHS. [Research Report] Inria. 2014. ⟨hal-00943669⟩
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Theses

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Matthieu Marbac-Lourdelle. Model-based clustering for categorical and mixed data sets. Statistics [math.ST]. université lille 1, 2014. English. ⟨NNT : ⟩. ⟨tel-01076418⟩
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Alexandru Amarioarei. Approximations for Multidimensional Discrete Scan Statistics. Probability [math.PR]. Université de Lille 1, 2014. English. ⟨NNT : ⟩. ⟨tel-01105214⟩
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Preprints, Working Papers, …

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Clément Théry, Christophe Biernacki, Gaétan Loridant. Model-Based Variable Decorrelation in Linear Regression. 2014. ⟨hal-01099133⟩
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Sophie Dabo-Niang, Ali Laksaci, Zoulikha Kaid. On spatial conditional quantile estimation for a functional regressor. 2014. ⟨hal-01094745⟩
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Jérémie Kellner, Alain Celisse. New normality test in high dimension with kernel methods. 2014. ⟨hal-00977839⟩
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https://hal.science/hal-00977839/file/rkhsgauss-preprint.pdf BibTex
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Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Classification de données mixtes par un modèle de mélange de copules gaussiennes.. 2014. ⟨hal-00940613⟩
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2013

Journal articles

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Alexandre Lourme, Christophe Biernacki. Simultaneous Gaussian Model-Based Clustering for Samples of Multiple Origins. Computational Statistics, 2013, 28, pp.371-391. ⟨10.1007/s00180-012-0305-5⟩. ⟨hal-00921041⟩
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Christophe Biernacki, Alexandre Lourme. Gaussian Parsimonious Clustering Models Scale Invariant and Stable by Projection. Statistics and Computing, 2013, pp.21. ⟨hal-00688250⟩
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https://inria.hal.science/hal-00688250/file/RR_7932.pdf BibTex
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Alexandru Amarioarei, Cristian Preda. Approximation for the Distribution of Three-dimensional Discrete Scan Statistic. Methodology and Computing in Applied Probability, 2013, pp.14. ⟨10.1007/s11009-013-9382-3⟩. ⟨hal-01092992⟩
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https://inria.hal.science/hal-01092992/file/1303.3775.pdf BibTex
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Julien Jacques, Cristian Preda. Funclust: a curves clustering method using functional random variables density approximation. Neurocomputing, 2013, 112, pp.164-171. ⟨10.1016/j.neucom.2012.11.042⟩. ⟨hal-00628247v2⟩
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Madison Giacofci, Sophie Lambert-Lacroix, Guillemette Marot, Franck Picard. Wavelet-based clustering for mixed-effects functional models in high dimension. Biometrics, 2013, 69 (1), pp.31-40. ⟨10.1111/j.1541-0420.2012.01828.x⟩. ⟨hal-00782458⟩
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Sophie Dabo-Niang, Anne-Françoise Yao. Spatial kernel density estimation for functional random variables. Metrika, 2013, 76, 1, pp.19-52. ⟨hal-00943638⟩
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Robert Walker, Mathieu Gissot, Ludovic Huot, Thilabalo Dilezitoko Alayi, David Hot, et al.. Toxoplasma transcription factor TgAP2XI-5 regulates the expression of genes involved in parasite virulence and host invasion.. Journal of Biological Chemistry, 2013, 288 (43), pp.31127-31138. ⟨10.1074/jbc.M113.486589⟩. ⟨hal-00921150⟩
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Conference papers

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Sophie Dabo-Niang. Exploring spatial non-parametric estimations.. Marrakesh International Conference on Probability and Statistics, Dec 2013, Marrakech, Morocco. ⟨hal-00943642⟩
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Julien Jacques. Model-based clustering for multivariate functional data. ERCIM 2013, 6th International Conference of the ERCIM working group on Computational and Methodological Statistics, Dec 2013, London, United Kingdom. ⟨hal-00943732⟩
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Julien Jacques. Clustering multivariate ordinal data. 20th Summer Working Group on Model-Based Clustering of the Department of Statistics of the University of Washington, Jul 2013, Bologna, Italy. ⟨hal-00943733⟩
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Julie Hamon, Clarisse Dhaenens, Gaël Even, Julien Jacques. Feature selection in high dimensional regression problems for genomic. Tenth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, Jun 2013, Nice, France. ⟨hal-00839705⟩
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Sophie Dabo-Niang. Spatial Data Analysis. 8th International conference of Sousse ISG, Sousse, May 2013, Sousse, Tunisie. ⟨hal-00943641⟩
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Julie Hamon, Clarisse Dhaenens, Gaël Even, Julien Jacques. Modèles mixtes en génétique animale : sélection de variables par optimisation combinatoire. 45ème Journées De Statistiques, May 2013, Toulouse, France. ⟨hal-00839707⟩
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https://inria.hal.science/hal-00839707/file/JDS2013-Hamon.pdf BibTex
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Quentin Grimonprez, Julien Jacques, Christophe Biernacki. Rankclust: An R package for clustering multivariate partial rankings. Deuxième Rencontres R, 2013, France. ⟨hal-00944005⟩
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Patents

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Morgane Pierre-Jean, Guillemette Marot, Guillem Rigaill, Alain Celisse. Détection de ruptures à partir de méthodes à noyaux. United Kingdom, Patent n° : 0000000. 2013. ⟨hal-00943423⟩
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Morgane Pierre-Jean, Guillemette Marot, Rigaill Guillem, Alain Celisse. Change-point detection with kernel methods : application to DNA copy number signals. France, Patent n° : 00000000000000. 2013. ⟨hal-00943413⟩
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Reports

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Camille Ternynck, Mohamed Ali Ben Alaya, Fateh Chebana, Sophie Dabo-Niang, Taha Ouarda. Flood hydrograph classification using functional data analysis. [Research Report] 2013. ⟨hal-00943644⟩
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Preprints, Working Papers, …

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Andrea Rau, Guillemette Marot, Florence Jaffrezic. Differential meta-analysis of RNA-seq data from multiple studies. 2013. ⟨hal-00834369⟩
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2012

Journal articles

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Damien Valour, Isabelle Hue, Séverine Degrelle, Sébastien Dejean, Guillemette Marot, et al.. Pre- and Post-Partum Mild Underfeeding Influences Gene Expression in the Reproductive Tract of Cyclic Dairy Cows.. Reproduction in Domestic Animals, 2012, 48 (3), pp.484-499. ⟨10.1111/rda.12113⟩. ⟨hal-00782492⟩
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Gérard Grégoire, François-Xavier Jollois, Jean-François Petiot, Abdellah Qannari, Serge Sabourin, et al.. Les logiciels et l’enseignement de la statistique dans les départements ” Statistique et Informatique Décisionnelle ” (STID) des IUT. Statistique et Enseignement, 2012, 2 (2), pp.5-24. ⟨hal-00913110⟩
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Marie-Agnès Dillies, Andrea Rau, Julie Aubert, Christelle Hennequet-Antier, Marine Jeanmougin, et al.. A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis. Briefings in Bioinformatics, 2012, 14 (6), pp.671-683. ⟨10.1093/bib/bbs046⟩. ⟨hal-00782486⟩
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Conference papers

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Julie Hamon, Clarisse Dhaenens, Gaël Even, Julien Jacques. Feature selection for high dimensional regression using local search and statistical criteria. International Conference on Metaheuristics and Nature Inspired Computing, Oct 2012, Port El-Kantaoui, Tunisia. ⟨hal-00749708v2⟩
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https://inria.hal.science/hal-00749708/file/julieHamon_meta2012.pdf BibTex
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Parmeet Bathia, Serge Iovleff, Gérard Govaert. Software for co-clustering of binary data. 44e Journées de Statistique, SFdS, May 2012, Bruxelles, Belgium. pp.1-6. ⟨hal-00933384⟩
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Julie Hamon, Clarisse Dhaenens, Julien Jacques, Gaël Even. Coopération entre Optimisation Combinatoire et Statistiques pour la Sélection animale. 13e congrès annuel de la Société française de Recherche Opérationnelle et d’Aide à la Décision, Apr 2012, Angers, France. ⟨hal-00749727v2⟩
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Julien Jacques, Cristian Preda. Functional data clustering using density approximation. 44èmes Journées de Statistique organisée par la Société Française de Statistique, 2012, Belgium. ⟨hal-00944008⟩
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Julien Jacques, Cristian Preda. Curves clustering with approximation of the density of functional random variables. ESANN 2012, 2012, Belgium. pp.459–464. ⟨hal-00944001⟩
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Julien Jacques, Cristian Preda. Clustering multivariate functional data. COMPSTAT 2012, 2012, Cyprus. pp.353-366. ⟨hal-00943745⟩
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https://hal.science/hal-00943745/file/Paper-Multi-FunClust-v2.pdf BibTex
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Julien Jacques. Generative models for classification and clustering of spectroscopic data. Chimiométrie 2012, 2012, France. ⟨hal-00944002⟩
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Book sections

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Farid Beninel, Christophe Biernacki, Charles Bouveyron, Julien Jacques, Alexandre Lourme. PARAMETRIC LINK MODELS FOR KNOWLEDGE TRANSFER IN STATISTICAL LEARNING. Dragan Ilic. Knowledge Transfer: Practices, Types and Challenges, Nova Publishers, 2012. ⟨hal-00942660⟩
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Habilitation à diriger des recherches

ref_biblio
Julien Jacques. Contribution à l’apprentissage statistique à base de modèles génératifs pour données complexes.. Statistiques [math.ST]. Université des Sciences et Technologie de Lille – Lille I, 2012. ⟨tel-00761184⟩
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2011

Journal articles

ref_biblio
Charles Bouveyron, Julien Jacques. Model-based Clustering of Time Series in Group-specific Functional Subspaces. Advances in Data Analysis and Classification, 2011, 5 (4), pp.281-300. ⟨10.1007/s11634-011-0095-6⟩. ⟨hal-00559561v2⟩
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Conference papers

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Julie Hamon, Clarisse Dhaenens, Julien Jacques, Gaël Even. Combining combinatorial optimization and statistics to mine high-throughput genotyping data. JOBIM – Journées Ouvertes Biologie Informatique Mathématiques, Jun 2011, Paris, France. ⟨hal-00639533⟩
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https://inria.hal.science/hal-00639533/file/Combining_combinatorial_optimization_and_statistics_to_mine_high-throughput_genotyping_data.pdf BibTex
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Charles Bouveyron, Julien Jacques. Model-based Clustering of Time Series in Group-specific Functional Subspaces. 12th annual conference of the International Federation of Classification Societies, 2011, Frankfurt, Germany. ⟨hal-00707054⟩
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Poster communications

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Christophe Biernacki, Vincent Vandewalle. Label switching in mixtures. Working Group on Model-Based Clustering Summer Session: Glasgow, July 17-23, 2011, Jul 2011, Glasgow, United Kingdom, France. ⟨hal-03183299⟩
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2010

Conference papers

ref_biblio
Charles Bouveyron, Julien Jacques. Adaptive mixtures of regressions : improving predictive inference when population has changed. 4th conference on Computational Methods for Modelling and Learning in Social and Human Sciences (MASHS’10), 2010, Lille, France. ⟨hal-00707048⟩
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2009

Conference papers

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Cristian Preda, Gilbert Saporta, Ben Hadj Mbarek. PLS Regression with Functional Predictor and Missing Data. PLS’09,6th Int. Conf. on Partial Least Squares and Related Methods, Sep 2009, Pékin, China. pp.17-22. ⟨hal-01125705⟩
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https://hal.science/hal-01125705/file/RC1813.pdf BibTex
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Charles Bouveyron, Julien Jacques. Modèles adaptatifs pour les mélanges de régressions. 41èmes Journées de Statistique de la Société Française de Statistique, 2009, Bordeaux, France. ⟨hal-00707061⟩
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Book sections

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Fabien Pamelard, Gaël Even, Costin Apostol, Cristian Preda, Clarisse Dhaenens, et al.. PASE: a web-based platform for peptide / protein microarray experiments. M. Cretich. Peptide Microarrays, 570, Humana Press, pp.413-430, 2009, Methods in Molecular Biology. ⟨hal-00835040⟩
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2008

Journal articles

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Isabelle Thomas, Pierre Frankhauser, Christophe Biernacki. The morphology of built-up landscapes in wallonia (Belgium) : a classification using fractal indices. Landscape and Urban Planning, 2008, 84, pp.99-115. ⟨10.1016/j.landurbplan.2007.07.002⟩. ⟨hal-00731650⟩
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2007

Book sections

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Julien Jacques, Christophe Biernacki. Classement de données binaires lorsque les populations d’apprentissage et de test sont différentes. Data Mining et apprentissage statistique : application en assurance, banque et marketing, Cépadues, pp.109-130, 2007, Revue des Nouvelles Technologies de l’Information, 9782854287943. ⟨hal-00851019⟩
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Cristian Preda, Gilbert Saporta. PCR and PLS for Clusterwise Regression on Functional Data. Brito P., Bertrand P., Cucumel G., De Carvalho F. (Eds.). Selected Contributions in Data Analysis and Classification, Springer, pp.589-598, 2007, 978-3-540-73558-8. ⟨hal-01125361⟩
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2006

Documents associated with scientific events

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Stéphane Girard, Serge Iovleff. Auto-Associative models and generalized Principal Component Analysis. Workshop on principal manifolds for data cartography and dimension reduction, Aug 2006, Leicester, United Kingdom. ⟨hal-00985337⟩
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2005

Conference papers

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Cristian Preda, Gilbert Saporta, Caroline Leveder. PLS classification of functional data. PLS’05 4th Int. Symp. on PLS and related methods, Aug 2005, Barcelone, Spain. ⟨hal-01125057⟩
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https://hal.science/hal-01125057/file/RC843.pdf BibTex
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Cristian Preda, Gilbert Saporta. PLS discriminant analysis for functional data. ASMDA’05 XIth Int. Symp. on Applied Stochastic Models and Data Analysis, May 2005, Brest, France. pp.653-661. ⟨hal-01125040⟩
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https://hal.science/hal-01125040/file/RC824.pdf BibTex
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Isabelle Thomas, Christophe Biernacki, Pierre Frankhauser. The morphology built-up landscapes : a classification of fractal indices. International Workshop “the role of open space and green amenities in the residential move from cities”, colloque organisé dans le cadre de l’ACI Espace et Territoire, 2005, Dijon, France. ⟨hal-00880970⟩
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2004

Book sections

ref_biblio
Cristian Preda, Gilbert Saporta. PLS Approach for clusterwise linear regression on functional data. D.Banks. Classification, Clustering, and Data Mining Applications, Springer; Springer Berlin Heidelberg, pp.167-176, 2004, Classification, Clustering and Data Mining Applications, ⟨10.1007/978-3-642-17103-1_17⟩. ⟨hal-01124925⟩
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2002

Journal articles

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Cristian Preda, Gilbert Saporta. Régression PLS sur un processus stochastique. Revue de Statistique Appliquée, 2002, 50 (2), pp.27-45. ⟨hal-02507754⟩
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2001

Conference papers

ref_biblio
Cristian Preda, Gilbert Saporta. Régression PLS sur un processus stochastique. 33 èmes Journées de Statistique, May 2001, Nantes, France. ⟨hal-01124653⟩
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Publications HAL de la structure 128611

2024

Journal articles

ref_biblio
Yoba Kande, Ndague Diogoul, Patrice Brehmer, Sophie Dabo-Niang, Papa Ngom, et al.. Demonstrating the relevance of spatial-functional statistical analysis in marine ecological studies : the case of environmental variations in micronektonic layers. Ecological Informatics, 2024, 81, pp.102547. ⟨10.1016/j.ecoinf.2024.102547⟩. ⟨hal-04507879⟩
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https://inria.hal.science/hal-04507879/file/1-s2.0-S157495412400089X-main.pdf BibTex
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Mélanie Lambert, Samy Jambon, Mohamed A. Bouhlel, Sabine Depauw, Julie Vrevin, et al.. Induction of AML cell differentiation using HOXA9/DNA binding inhibitors as a potential therapeutic option for HOXA9-dependent AML.. HemaSphere, 2024, HemaSphere, 8 (5), pp.e77. ⟨10.1002/hem3.77⟩. ⟨hal-04603215⟩
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Violeta Raverdy, Federica Tavaglione, Estelle Chatelain, Robert Caiazzo, Chiara Saponaro, et al.. Performance of non-invasive tests for liver fibrosis resolution after bariatric surgery. Metabolism, 2024, 153, pp.155790. ⟨10.1016/j.metabol.2024.155790⟩. ⟨hal-04525423⟩
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Sophie Dabo-Niang, Maria J. Esteban, Colette Guillopé, Marie-Françoise Roy. Aspects of the gender gap in Mathematics. European Mathematical Society Magazine, 2024, 131, pp.22-31. ⟨10.4171/mag/178⟩. ⟨hal-04278806⟩
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https://hal.science/hal-04278806/file/gendergapinmathematics_10november.pdf BibTex
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Antoine Picard-Weibel, Gabriel Capson-Tojo, Benjamin Guedj, Roman Moscoviz. Bayesian uncertainty quantification for anaerobic digestion models. Bioresource Technology, 2024, 394, pp.130147. ⟨10.1016/j.biortech.2023.130147⟩. ⟨hal-04461829⟩
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Paul Aimé Latsouck Faye, Elodie Brunel, Thomas Claverie, Solym Mawaki Manou-Abi, Sophie Dabo-Niang. Automatic geomorphological mapping using ground truth data with coverage sampling and random forest algorithms. Earth Science Informatics, In press, ⟨10.1007/s12145-024-01347-x⟩. ⟨hal-04624799⟩
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Conference papers

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Violaine Courrier, Christophe Biernacki, Cristian Preda, Benjamin Vittrant. Étude comparative de modèles de clustering de séries temporelles multivariées issues d’objets médicaux connectés. EGC 2024 – 24ème Conférence Francophone sur l’Extraction et Gestion des Connaissances, Jan 2024, Dijon, France. ⟨pasteur-04364645v2⟩
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Poster communications

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Antoine Picard-Weibel, Gabriel Capson-Tojo, Benjamin Guedj, Roman Moscoviz. VarBUQ: Bayesian uncertainty quantification for anaerobic digestion models. 18th IWA World Conference on Anaerobic Digestion, Jun 2024, Istanbul, Turkey. ⟨hal-04644598⟩
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Preprints, Working Papers, …

ref_biblio
Antoine Picard-Weibel, Gabriel Capson-Tojo, Benjamin Guedj, Roman Moscoviz. Bayesian Uncertainty Quantification for Anaerobic Digestion models. 2024. ⟨hal-04592670⟩
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Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi. Closed-form Filtering for Non-linear Systems. 2024. ⟨hal-04458936⟩
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https://inria.hal.science/hal-04458936/file/CANTELOBRE_PSD_FILTERING.pdf BibTex
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Paul Viallard, Maxime Haddouche, Umut Şimşekli, Benjamin Guedj. Tighter Generalisation Bounds via Interpolation. 2024. ⟨hal-04456925⟩
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https://arxiv.org/pdf/2402.05101 BibTex
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Maxime Haddouche, Paul Viallard, Umut Şimşekli, Benjamin Guedj. A PAC-Bayesian Link Between Generalisation and Flat Minima. 2024. ⟨hal-04455639⟩
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https://hal.science/hal-04455639/file/PLS_inequalities_x_PAC_Bayes.pdf BibTex
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Etienne Krönert, Dalila Hattab, Alain Celisse. Breakpoint based online anomaly detection. 2024. ⟨hal-04440349⟩
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Hemant Tyagi, Denis Efimov. Learning linear dynamical systems under convex constraints. 2024. ⟨hal-04394297⟩
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https://hal.science/hal-04394297/file/2303.15121.pdf BibTex
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Ernesto Araya Valdivia, Hemant Tyagi. Graph Matching via convex relaxation to the simplex. 2024. ⟨hal-04394319⟩
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https://hal.science/hal-04394319/file/2310.20609.pdf BibTex

2023

Journal articles

ref_biblio
Mohamed-Salem Ahmed, Mamadou N’diaye, Mohammed Kadi Attouch, Sophie Dabo-Niang. k-nearest neighbors prediction and classification for spatial data. Journal of Spatial Econometrics, 2023, 4 (1), pp.12. ⟨10.1007/s43071-023-00041-2⟩. ⟨hal-04392790⟩
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https://arxiv.org/pdf/1806.00385 BibTex
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Violetta Raverdy, Estelle Chatelain, Guillaume Lasailly, Robert Caiazzo, Jimmy Vandel, et al.. Combining diabetes, sex, and menopause as meaningful clinical features associated with NASH and liver fibrosis in individuals with class II and III obesity: A retrospective cohort study.. Obesity, 2023, Obesity, 31 (12), pp.3066-3076. ⟨10.1002/oby.23904⟩. ⟨hal-04402748⟩
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https://hal.univ-lille.fr/hal-04402748/file/Obesity%20-%202023%20-%20Raverdy%20-%20Combining%20diabetes%20sex%20and%20menopause%20as%20meaningful%20clinical%20features%20associated%20with%20NASH%20and.pdf BibTex
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Ringo Thomas Tchouya, Stefano Nasini, Sophie Dabo-Niang. An estimation approach for the influential–imitator diffusion. Computers and Operations Research, 2023, 159, pp.106315. ⟨10.1016/j.cor.2023.106315⟩. ⟨hal-04392806⟩
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Issam-Ali Moindjié, Sophie Dabo-Niang, Cristian Preda. Classification of multivariate functional data on different domains with Partial Least Squares approaches. Statistics and Computing, 2023, pp.5. ⟨10.1007/s11222-023-10324-1⟩. ⟨hal-03908634v3⟩
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https://hal.science/hal-03908634/file/Classification_of_multivariate_functional_data_on_different_domains_with_Partial_Least_Squares_approaches__version_2_%20%283%29.pdf BibTex
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Ning Sun, Zoran Bursac, Ian Dryden, Roberto Lucchini, Sophie Dabo-Niang, et al.. Bayesian spatiotemporal modelling for disease mapping: an application to preeclampsia and gestational diabetes in Florida, United States. Environmental Science and Pollution Research, 2023, 30 (50), pp.109283-109298. ⟨10.1007/s11356-023-29953-0⟩. ⟨hal-04392782⟩
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Guillaume Braun, Hemant Tyagi. Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power Method. Information and Inference, 2023, 12 (3), pp.1830-1866. ⟨10.1093/imaiai/iaad006⟩. ⟨hal-03876871⟩
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https://arxiv.org/pdf/2205.12104 BibTex
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Ernesto Araya, Eglantine Karlé, Hemant Tyagi. Dynamic Ranking and Translation Synchronization. Information and Inference, 2023, 12 (3), pp.2224-2266. ⟨10.1093/imaiai/iaad029⟩. ⟨hal-03876870⟩
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https://arxiv.org/pdf/2207.01455 BibTex
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Eglantine Karlé, Hemant Tyagi. Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method. Journal of Machine Learning Research, 2023, 24 (269), pp.1–57. ⟨hal-03519271⟩
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Esther Martin de Fourchambault, Nathalie Callens, Jean-Michel Saliou, Marie Fourcot, Oceane Delos, et al.. Hepatitis C virus alters the morphology and function of peroxisomes. Frontiers in Microbiology, 2023, 14, pp.1254728. ⟨10.3389/fmicb.2023.1254728⟩. ⟨hal-04245832⟩
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Christophe Biernacki, Julien Jacques, C. Keribin. A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges. Journal of Classification, 2023, ⟨10.1007/s00357-023-09441-3⟩. ⟨hal-03769727⟩
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Julie Dubois‐chevalier, Céline Gheeraert, Alexandre Berthier, Clémence Boulet, Vanessa Dubois, et al.. An extended transcription factor regulatory network controls hepatocyte identity. EMBO Reports, 2023, 24 (9), ⟨10.15252/embr.202357020⟩. ⟨hal-04169341⟩
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Hélène Sarter, Guillaume Savoye, Guillemette Marot, Delphine Ley, Dominique Turck, et al.. A Novel 8-Predictors Signature to Predict Complicated Disease Course in Pediatric-onset Crohn’s Disease: A Population-based Study. Inflammatory Bowel Diseases, 2023, ⟨10.1093/ibd/izad090⟩. ⟨hal-04124611⟩
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Antonin Schrab, Ilmun Kim, Mélisande Albert, Béatrice Laurent, Benjamin Guedj, et al.. MMD Aggregated Two-Sample Test. Journal of Machine Learning Research, 2023, 24 (194), pp.1-81. ⟨hal-03408976v3⟩
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Camille Frévent, Mohamed-Salem Ahmed, Sophie Dabo-Niang, Michaël Genin. Investigating spatial scan statistics for multivariate functional data. Journal of the Royal Statistical Society: Series C Applied Statistics, 2023, 72 (2), pp.450-475. ⟨10.1093/jrsssc/qlad017⟩. ⟨hal-03527471⟩
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https://arxiv.org/pdf/2103.14401 BibTex
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Maxime Haddouche, Benjamin Guedj. PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales. Transactions on Machine Learning Research Journal, 2023. ⟨hal-03815101v3⟩
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Quentin Grimonprez, Samuel Blanck, Alain Celisse, Guillemette Marot. MLGL: An R package implementing correlated variable selection by hierarchical clustering and group-Lasso. Journal of Statistical Software, 2023, 106 (3), ⟨10.18637/jss.v106.i03⟩. ⟨hal-01857242v2⟩
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Wilfried Heyse, Vincent Vandewalle, Guillemette Marot, Philippe Amouyel, Christophe Bauters, et al.. Identification of patient subtypes based on protein expression for prediction of heart failure after myocardial infarction. iScience, 2023, 26 (3), pp.106171. ⟨10.1016/j.isci.2023.106171⟩. ⟨inserm-04191363⟩
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Sébastien Sanges, Lisa Rice, Ly Tu, Eleanor Valenzi, Jean-Luc Cracowski, et al.. Biomarkers of haemodynamic severity of systemic sclerosis-associated pulmonary arterial hypertension by serum proteome analysis. Annals of the Rheumatic Diseases, 2023, 82 (3), pp.ard-2022-223237. ⟨10.1136/ard-2022-223237⟩. ⟨hal-03927525⟩
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Stéphane Bouka, Sophie Dabo-Niang, Guy Martial Nkiet. On estimation and prediction in spatial functional linear regression model. Lithuanian Mathematical Journal, 2023, 63 (1), pp.13-30. ⟨10.1007/s10986-023-09586-z⟩. ⟨hal-04392795⟩
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https://arxiv.org/pdf/1908.02143 BibTex
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Tzung Hsuen Khoo, Dharini Pathmanathan, Sophie Dabo-Niang. Spatial Autocorrelation of Global Stock Exchanges Using Functional Areal Spatial Principal Component Analysis. Mathematics , 2023, 11 (3), pp.674. ⟨10.3390/math11030674⟩. ⟨hal-04392798⟩
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Sophie Dabo-Niang, Emad Darwich, Leila Hamdad, Baba Thiam. Spatial Relative Risk of Upper Aerodigestive Tract Cancers Incidence in French Northern Region. SN Computer Science, 2023, 4 (1), pp.30. ⟨10.1007/s42979-022-01426-0⟩. ⟨hal-03861906⟩
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Conference papers

ref_biblio
Paul Viallard, Maxime Haddouche, Umut Şimşekli, Benjamin Guedj. Learning via Wasserstein-Based High Probability Generalisation Bounds. NeurIPS 2023 Workshop on Optimal Transport and Machine Learning (OTML’23), Dec 2023, New Orleans, United States. ⟨10.48550/arXiv.2306.04375⟩. ⟨hal-04273718⟩
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https://hal.science/hal-04273718/file/2306.04375%20%281%29.pdf BibTex
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Christophe Biernacki. Levels Merging in the Latent Class Model. CFE-CMStatistics 2023, Dec 2023, Berlin, Germany. ⟨hal-04370783⟩
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https://inria.hal.science/hal-04370783/file/CMstat_slides_dec2023.pdf BibTex
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Sophie Dabo-Niang. Spatial Functional Data Modeling through Gaussian Processes. Journ ́ees de Statistique Math ́ematique et Data Science (JSMDS), Nov 2023, Hammamet, Tunisia. ⟨hal-04507872⟩
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Christophe Biernacki. Digital Science for Disability Overview of the initiatives undertaken by Inria. Inria/IIT DELHI workshop, Oct 2023, New delhi, India. ⟨hal-04370905⟩
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https://inria.hal.science/hal-04370905/file/Disability_Biernacki_Oct2023.pdf BibTex
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Sophie Dabo-Niang. On the enlightened path of an African woman in mathematics. Black Heroes of Mathematics Conference, Oct 2023, Edinbourg, Ecosse, United Kingdom. ⟨hal-04507829⟩
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Sophie Dabo-Niang. Cluster detection for high dimensional spatial data. Math4ML Workshop 2023, AIMS (African Institute of Mathematical Science), Sep 2023, Accra (Ghana), Ghana. ⟨hal-04507867⟩
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Sophie Dabo-Niang. A Global Perspective, The African perspective about the Gender Gap in Science. ICIAM 2023 mini-symposium Gender Equality in Mathematics, Aug 2023, Tokyo (JP), Japan. ⟨hal-04507875⟩
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Christophe Biernacki, Matthieu Marbac, Vincent Vandewalle. Clustering: from modeling to visualizing Mapping clusters as spherical Gaussians. Working Group on Model-Based Clustering, Jul 2023, Pittsburg, Etats-Unis, United States. ⟨hal-04370893⟩
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https://inria.hal.science/hal-04370893/file/Gaussian_Based_Visualization_of_Gaussian_and_Non_Gaussian_Based_Clustering.pdf BibTex
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Christophe Biernacki, Vincent Vandewalle, Matthieu Marbac. Clustering: from modeling to visualizing Mapping clusters as spherical Gaussians. SFC 2023 – Rencontres de la Société Francophone de Classification, Jul 2023, Strasbourg, France. ⟨hal-04370886⟩
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https://inria.hal.science/hal-04370886/file/Biernacki_SFC2023.pdf BibTex
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C Boinay, C Biernacki, C Preda. Graphs in OT Testing Graph Abnormality Application to a Real OT Data Set Ongoing & Future Works References. 54e Journées de Statistique, Jul 2023, Bruxelles, Belgium. ⟨hal-04370878⟩
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https://inria.hal.science/hal-04370878/file/Biernacki_et_al_JDS2023.pdf BibTex
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Cristian Preda. Learning with categorical functional data. The Tenth Congress of Romanian Mathematicians, 2023, Romanian Academy, Jun 2023, Pitesti, Romania. ⟨hal-04393613⟩
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C Biernacki. Levels Merging in the Latent Class Model. Statistical Learning Sustainability and Impact Evaluation, Jun 2023, Ancona (IT), Italy. ⟨hal-04370900⟩
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https://inria.hal.science/hal-04370900/file/SIS_slides.pdf BibTex
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Sophie Dabo-Niang. Investigating spatial scan statistics for multivariate functional data. SSPA’23 – Symposium on Statistics, Probability and Their Applications, Jun 2023, Oujda, Morocco. ⟨hal-04507849⟩
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Sophie Dabo-Niang. The gender gap in Maths in Africa. African Women In Mathematics (AWMA) days, African Women In Mathematics (AWMA), May 2023, Ouagadoudou, Burkina Faso. ⟨hal-04507857⟩
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Sophie Dabo-Niang. Bridging FDA Learning : to MEMS instrumentation for cell
characterization. Theory to Practice (T2P), AIMS (African Institute of Mathematical Science), Apr 2023, Kigali, Rwanda. ⟨hal-04507863⟩
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Felix Biggs, Benjamin Guedj. Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty. AISTATS 2023 – 26th International Conference on Artificial Intelligence and Statistics, Apr 2023, Valencia, Spain. ⟨hal-03953307⟩
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https://arxiv.org/pdf/2210.11289 BibTex
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Christophe Biernacki, Claire Boyer, Gilles Celeux, Julie Josse, Fabien Laporte, et al.. Impact of missing data on mixtures and clustering with illustrations in Biology and Medicine. SPSR 2023 – The 24th annual Conference of the Romanian Society of Probability and Statistics, Apr 2023, Bucarest, Romania. ⟨hal-04370870⟩
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https://inria.hal.science/hal-04370870/file/slidesBucarest21avril2023.pdf BibTex
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Cristian Preda, Quentin Grimonprez. Linear approximation for multivariate categorical functional data analysis. THE 24th CONFERENCE of the ROMANIAN SOCIETY of PROBABILITY and STATISTICS, Apr 2023, Bucharest, Romania. ⟨hal-04393621⟩
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Sophie Dabo-Niang. Bridging FDA Learning : to MEMS instrumentation for cell characterization. 30 MIN SCIENCES, Apr 2023, Lille, France. ⟨hal-04507860⟩
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Sophie Dabo-Niang. Investigating spatial scan statistics for multivariate functional data. International Conference on Recent Developments in Mathematical Modeling in Biology (3MC), Mar 2023, Potchefstroom, South Africa. ⟨hal-04507870⟩
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Sophie Dabo-Niang. The global survey of scientists Focus on Mathematics and Africa. Standing Committee for Gender Equality in Science (SCGES), Standing Committee for Gender Equality in Science, Feb 2023, Paris, France. ⟨hal-04507854⟩
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Book sections

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Jacqueline Etay, Colette Guillopé, Sophie Trélat, Isabelle Vauglin, Anne Schuhl, et al.. Vécu des femmes et des hommes travaillant dans le milieu académique français pendant le confinement de 2020. Amélie Keyser-Verreault (dir); Florence Pasche-Guignard (dir). Maternités académiques et pandémie : lieux, temps et réseaux entre pressions et résiliences., Presses de l’Université du Québec, 2023, 9782760558267. ⟨hal-04528531⟩
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Lectures

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C Biernacki. Clustering : une vision unifiée pour une utilisation éclairée – Partie 3 : Formalisation par modèles de mélange. Doctoral. France. 2023. ⟨hal-04370761⟩
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https://inria.hal.science/hal-04370761/file/Prez3_clustering_SFdS.pdf BibTex
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C Biernacki. Clustering : une vision unifiée pour une utilisation éclairée – Partie 4 : Traitement de la grande dimension & co-clustering. Doctoral. France. 2023. ⟨hal-04370767⟩
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https://inria.hal.science/hal-04370767/file/Prez4_clustering_SFdS.pdf BibTex
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Christophe Biernacki. Clustering : une vision unifiée pour une utilisation éclairée – Partie 1 : Méthodes exploratoires en clustering. Doctoral. Paris, France. 2023. ⟨hal-04370746⟩
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https://inria.hal.science/hal-04370746/file/Prez1_clustering_SFdS.pdf BibTex
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C Biernacki. Clustering : une vision unifiée pour une utilisation éclairée – Partie 2 Evaluation d’une méthode de clustering. Doctoral. France. 2023. ⟨hal-04370753⟩
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https://inria.hal.science/hal-04370753/file/Prez2_clustering_SFdS.pdf BibTex

Theses

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Issam-Ali Moindjié. Modèles linéaires pour données fonctionnelles multivariées. Statistiques [math.ST]. Université de Lille, 2023. Français. ⟨NNT : 2023ULILB046⟩. ⟨tel-04376932v2⟩
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https://hal.science/tel-04376932/file/These_MOINDJIE_Issam.pdf BibTex

Preprints, Working Papers, …

ref_biblio
Aude Sportisse, Matthieu Marbac, Fabien Laporte, Gilles Celeux, Claire Boyer, et al.. Accompanying note : Model-based Clustering with Missing Not At Random Data. 2023. ⟨hal-04358192⟩
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https://hal.science/hal-04358192/file/main.pdf BibTex
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Eugenio Clerico, Benjamin Guedj. A note on regularised NTK dynamics with an application to PAC-Bayesian training. 2023. ⟨hal-04358260⟩
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https://inria.hal.science/hal-04358260/file/2312.13259.pdf BibTex
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Aude Sportisse, Matthieu Marbac, Fabien Laporte, Gilles Celeux, Claire Boyer, et al.. Model-based Clustering with Missing Not At Random Data. 2023. ⟨hal-03494674v4⟩
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https://hal.science/hal-03494674/file/main.pdf BibTex
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Etienne Krönert, Alain Célisse, Dalila Hattab. FDR control for Online Anomaly Detection. 2023. ⟨hal-04321622⟩
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https://hal.science/hal-04321622/file/article1-preprint.pdf BibTex
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Issam-Ali Moindjié, Cristian Preda, Sophie Dabo-Niang. Fusion regression methods with repeated functional data. 2023. ⟨hal-04176783v2⟩
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https://hal.science/hal-04176783/file/28_11_23.pdf BibTex
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Antonin Schrab, Wittawat Jitkrittum, Zoltán Szabó, Dino Sejdinovic, Arthur Gretton. Discussion of `Multiscale Fisher’s Independence Test for Multivariate Dependence’. 2023. ⟨hal-03709218⟩
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https://hal.science/hal-03709218/file/2206.11142.pdf BibTex
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Felix Biggs, Antonin Schrab, Arthur Gretton. MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting. 2023. ⟨hal-04156329v2⟩
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https://hal.science/hal-04156329/file/2306.08777.pdf BibTex
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Ilmun Kim, Antonin Schrab. Differentially Private Permutation Tests: Applications to Kernel Methods. 2023. ⟨hal-04276141⟩
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https://hal.science/hal-04276141/file/2310.19043.pdf BibTex
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Pierre Jobic, Maxime Haddouche, Benjamin Guedj. Federated Learning with Nonvacuous Generalisation Bounds. 2023. ⟨hal-04260486⟩
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https://inria.hal.science/hal-04260486/file/2310.11203.pdf BibTex
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Fredrik Hellström, Benjamin Guedj. Comparing Comparators in Generalization Bounds. 2023. ⟨hal-04259101⟩
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https://inria.hal.science/hal-04259101/file/2310.10534.pdf BibTex
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Fredrik Hellström, Giuseppe Durisi, Benjamin Guedj, Maxim Raginsky. Generalization Bounds: Perspectives from Information Theory and PAC-Bayes. 2023. ⟨hal-04205539⟩
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https://inria.hal.science/hal-04205539/file/2309.04381.pdf BibTex
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Maxime Haddouche, Benjamin Guedj. Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation. 2023. ⟨hal-04080080v2⟩
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https://inria.hal.science/hal-04080080/file/main.pdf BibTex
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Maxime Haddouche, Benjamin Guedj, Olivier Wintenberger. Optimistic Dynamic Regret Bounds. 2023. ⟨hal-03953310⟩
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https://arxiv.org/pdf/2301.07530 BibTex

2022

Journal articles

ref_biblio
S.‐h. Arnaud Kanga, Ouagnina Hili, Sophie Dabo-Niang, Assi N’Guessan. Asymptotic properties of nonparametric quantile estimation with spatial dependency. Statistica Neerlandica, 2022, ⟨10.1111/stan.12284⟩. ⟨hal-03861898⟩
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Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki. Interpretable Domain Adaptation Using Unsupervised Feature Selection on Pre-trained Source Models. Neurocomputing, 2022, 511, pp.319-336. ⟨hal-03325509v2⟩
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Christelle Judith Agonkoui, Freedath Djibril Moussa, Sophie-Dabo Niang. Multivariate functional principal component analysis for endogenously stratified data. Afrika Statistika, 2022, 17 (4), pp.3321-337. ⟨10.16929/as/2022.3321.308⟩. ⟨hal-04392805⟩
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Michael P B Gallaugher, Christophe Biernacki, Paul D Mcnicholas. Parameter-Wise Co-Clustering for High-Dimensional Data. Computational Statistics, 2022, ⟨10.1007/s00180-022-01289-2⟩. ⟨hal-01862824v4⟩
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https://hal.science/hal-01862824/file/PWCoClust_Revised2.pdf BibTex
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Mamadou Ndiaye, Sophie Dabo-Niang, Papa Ngom. Nonparametric Prediction for Spatial Dependent Functional Data Under Fixed Sampling Design. Revista colombiana de Estadistica, 2022, 45 (2), pp.391-428. ⟨10.15446/rce.v45n2.98957⟩. ⟨hal-04500323⟩
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Aurelien Chepy, Solange Vivier, Fabrice Bray, Camille Ternynck, Jean-Pascal Meneboo, et al.. Effects of Immunoglobulins G From Systemic Sclerosis Patients in Normal Dermal Fibroblasts: A Multi-Omics Study. Frontiers in Immunology, 2022, Frontiers in Immunology, 13, pp.904631. ⟨10.3389/fimmu.2022.904631⟩. ⟨hal-03898588⟩
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Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey. MAGMA: Inference and Prediction using Multi-Task Gaussian Processes with Common Mean. Machine Learning, 2022, ⟨10.1007/s10994-022-06172-1⟩. ⟨hal-02904446v2⟩
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Adolphe Gbogbo, Benoît Kouakou, Sophie Dabo-Niang, Jérémie Zoueu. Predictive model for airborne insect abundance intercepted by a continuous wave Scheimpflug lidar in relation to meteorological parameters. Ecological Informatics, 2022, 68, pp.101528. ⟨10.1016/j.ecoinf.2021.101528⟩. ⟨hal-03527459⟩
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Nathalie Garnier, Kato Pollet, Marie Fourcot, Morgan Caplan, Guillemette Marot, et al.. [Letter to editor] Altered microRNA expression in severe COVID‐19: Potential prognostic and pathophysiological role. Clinical and Translational Medicine, 2022, 12 (6), pp.e899. ⟨10.1002/ctm2.899⟩. ⟨hal-03700328⟩
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https://hal.science/hal-03700328/file/Clinical%20Translational%20Med%20-%202022%20-%20Garnier%20-%20Altered%20microRNA%20expression%20in%20severe%20COVID%E2%80%9019%20Potential%20prognostic%20and.pdf BibTex
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Aurore Cauquis, Mario Ricchiuto, Philippe Heinrich. Lax–Wendroff Schemes with Polynomial Extrapolation and Simplified Lax–Wendroff Schemes for Dispersive Waves: A Comparative Study. Water Waves, 2022, ⟨10.1007/s42286-022-00060-w⟩. ⟨hal-03723732⟩
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Florent Dewez, Benjamin Guedj, Arthur Talpaert, Vincent Vandewalle. An end-to-end data-driven optimisation framework for constrained trajectories. Data-Centric Engineering, 2022, 3, pp.e6. ⟨10.1017/dce.2022.6⟩. ⟨hal-03024720⟩
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https://inria.hal.science/hal-03024720/file/2011.11820.pdf BibTex
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Mihai Cucuringu, Hemant Tyagi. An extension of the angular synchronization problem to the heterogeneous setting. Foundations of Data Science, In press, ⟨10.3934/fods.2021036⟩. ⟨hal-03101682⟩
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Matthieu Marbac, Mohammed Sedki, Christophe Biernacki, Vincent Vandewalle. Simultaneous semi-parametric estimation of clustering and regression. Journal of Computational and Graphical Statistics, 2022, 31 (2), pp.477-485. ⟨10.1080/10618600.2021.2000872⟩. ⟨hal-03090573v2⟩
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Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey. Cluster-Specific Predictions with Multi-Task Gaussian Processes. Journal of Machine Learning Research, In press. ⟨hal-03009276v3⟩
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Conference papers

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Christophe Biernacki. Impact of Missing Data on Mixtures and Clustering. CMStatistics 2022 – 15th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2022, London, United Kingdom. ⟨hal-03936786⟩
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https://inria.hal.science/hal-03936786/file/CMstat_Biernacki.pdf BibTex
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Rim Essifi. The Patient Path: a first approach. CMStatistics 2022 – The 15th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2022, Londres, United Kingdom. ⟨hal-03942217⟩
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Guillemette Marot. Introduction to statistics for omics data. Thematic school FTMS 2022 – Fourier Transform Mass Spectrometry: treatment of ultra high resolution data, Nov 2022, Ambleteuse, France. ⟨hal-03942855⟩
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Sophie Dabo-Niang. Econometrics, Space : Applications to economic growth and management of fishery resources. Colloque ENSAE, IRD, University Paris Dauphine, Nov 2022, Dakar (Sénégal), Senegal. ⟨hal-04507846⟩
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Idris Si-Ahmed, Mazamaesso Azeyou, Leila Hamdad, Sophie Dabo-Niang. Functional, Multivariate Functional and Spatial PCA: Application to Covid-19 Data in the African Continent. 12th International Conference on Information Systems and Advanced Technologies ICISAT 2022, Aug 2022, Virtual conference, France. pp.318-328, ⟨10.1007/978-3-031-25344-7_28⟩. ⟨hal-04392801⟩
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Guillaume Braun, Hemant Tyagi, Christophe Biernacki. An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. Proceedings of the 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States. ⟨hal-03526257⟩
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Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, et al.. Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound. CAp 2022, Jul 2022, Vannes, France. ⟨hal-03703804⟩
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Paul Viallard, Rémi Emonet, Pascal Germain, Amaury Habrard, Emilie Morvant, et al.. Intérêt des bornes désintégrées pour la généralisation avec des mesures de complexité. CAp 2022, Jul 2022, Vannes, France. ⟨hal-03703811⟩
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Guillemette Marot. Meta-analysis of RNA-Seq data. Journée scientifique – Le RNA-Seq, de la paillasse à l’analyse in silico, PLBS, bilille and GoaL platforms, Jun 2022, Lille, France. ⟨hal-03942820⟩
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https://inria.hal.science/hal-03942820/file/metaRNASeq.pdf BibTex
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Christophe Biernacki, Claire Boyer, Gilles Celeux, Julie Josse, Fabien Laporte, et al.. Impact of missing data on mixtures and clustering with illustrations in Biology and Medicine. ASA 2022 – Apprentissage Statistiques et Applications, Jun 2022, Poitiers, France. ⟨hal-03936781⟩
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https://inria.hal.science/hal-03936781/file/slidesPoitiers23juin2022.pdf BibTex
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Guillemette Marot, Quentin Grimonprez, Samuel Blanck, Alain Celisse. Variable selection with Multi-Layer Group Lasso. useR! 2022, Jun 2022, Virtual, United States. ⟨hal-03942579⟩
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https://inria.hal.science/hal-03942579/file/MLGL.pdf BibTex
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Guillemette Marot, Wilfried Heyse, Vincent Vandewalle, Christophe Bauters, Florence Pinet. Clinical score building from high-throughput proteomic data. ICM/Inria/SCAI workshop “Computational and mathematical approaches for neuroscience”, Jun 2022, Paris, France. ⟨hal-03942723⟩
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https://inria.hal.science/hal-03942723/file/Score_building_ICM_HAL.pdf BibTex
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Yoba Kande, Patrice Brehmer, Sophie Dabo-Niang. Spatial functionnal analysis of acoustic fisheries data. 20th Edition of the International Workshop in Spatial Econometrics and Statistics, Université de Lille; INRIA, May 2022, Lille (FR), France. ⟨hal-04490551⟩
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Sophie Dabo-Niang. Investigating spatial scan statistics for multivariate functional data. Colloque International de Statistique et Econométrie (CISEM 2022), May 2022, Mahdia, Tunisia, Tunisia. ⟨hal-04507827⟩
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Sophie Dabo-Niang. Multivariate Principal Component Analysis and Binary Functional Linear Models under Case-Control
Sampling. Colloque International de Statistique et Econométrie (CISEM 2022), May 2022, Mahdia, Tunisia, Tunisia. ⟨hal-04507825⟩
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Christophe Biernacki. Fondamentaux de l’IA et domaines d’application. Journées Techniques Routes 2022, May 2022, Nantes, France. ⟨hal-03936772⟩
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Felix Biggs, Benjamin Guedj. On Margins and Derandomisation in PAC-Bayes. AISTATS 2022 – 25th International Conference on Artificial Intelligence and Statistics, Mar 2022, Valencia, Spain. ⟨hal-03282597v2⟩
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https://inria.hal.science/hal-03282597/file/2107.03955.pdf BibTex
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Badr-Eddine Chérief-Abdellatif, Yuyang Shi, Arnaud Doucet, Benjamin Guedj. On PAC-Bayesian reconstruction guarantees for VAEs. 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022, Mar 2022, Valencia / Virtual, Spain. ⟨hal-03587178⟩
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https://inria.hal.science/hal-03587178/file/2202.11455.pdf BibTex
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Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki. Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models. 36th AAAI Conférence on Artificial Intelligence, Feb 2022, Vancouver, Canada. ⟨hal-03505639⟩
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https://hal.science/hal-03505639/file/2006.ZhangL.pdf BibTex
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Bahram Ahmadian, Deborah Mbujamba, Jean Claude Gerbedoen, Momoko Kumemura, Hiroyuki Fujita, et al.. Single cell classification using statistical learning on mechanical properties measured by mems tweezers. IEEE 35th International Conference on Micro Electro Mechanical Systems Conference (MEMS 2022), Jan 2022, Tokyo, Japan. pp.317-320, ⟨10.1109/MEMS51670.2022.9699466⟩. ⟨hal-03528082⟩
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Book sections

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Salsabil Yacour, Sophie Dabo-Niang, Ahmed El Ghini. Investigating Environmental Kuznets Curve for CO$$_{2}$$ Emissions: A Cointegration Analysis for Morocco. Proceedings of the Sixteenth International Conference on Management Science and Engineering Management – Volume 2, 145, Springer International Publishing, pp.506-525, 2022, Lecture Notes on Data Engineering and Communications Technologies, ⟨10.1007/978-3-031-10385-8_36⟩. ⟨hal-03861889⟩
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Lectures

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Christophe Biernacki. Traitement statistique des données manquantes-Part I Introduction to modeling. Doctorat. France. 2022. ⟨hal-03505648⟩
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https://hal.science/hal-03505648/file/part1.pdf BibTex

Theses

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Guillaume Braun. Efficient iterative methods for clustering and matching problems on graphs. Combinatorics [math.CO]. Université de Lille, 2022. English. ⟨NNT : 2022ULILB034⟩. ⟨tel-03889078v2⟩
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https://hal.science/tel-03889078/file/These_BRAUN_Guillaume.pdf BibTex
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Camille Frévent. Contribution to spatial statistics for high-dimensional and survival data. Statistics [math.ST]. Université de Lille, 2022. English. ⟨NNT : ⟩. ⟨tel-03889127v2⟩
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https://inria.hal.science/tel-03889127/file/2022ULILS032.pdf BibTex
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Filippo Antonazzo. Unsupervised learning of huge data sets with limited computed resources. Data Structures and Algorithms [cs.DS]. Université de Lille, 2022. English. ⟨NNT : 2022ULILB015⟩. ⟨tel-03846222v2⟩
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https://theses.hal.science/tel-03846222/file/These_ANTONAZZO_Filippo.pdf BibTex

Preprints, Working Papers, …

ref_biblio
Ernesto Araya, Guillaume Braun, Hemant Tyagi. Seeded graph matching for the correlated Gaussian Wigner model via the projected power method. 2022. ⟨hal-03876872⟩
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https://arxiv.org/pdf/2204.04099 BibTex
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Camille Frévent, Mohamed-Salem Ahmed, Julien Soula, Zaineb Smida, Lionel Cucala, et al.. The R Package \pkg{HDSpatialScan} for the Detection of Clusters of Multivariate and Functional Data using Spatial Scan Statistics. 2022. ⟨hal-03862097⟩
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Eugenio Clerico, George Deligiannidis, Benjamin Guedj, Arnaud Doucet. A PAC-Bayes bound for deterministic classifiers. 2022. ⟨hal-03815146⟩
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https://inria.hal.science/hal-03815146/file/2209.02525.pdf BibTex
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Antonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton. Efficient Aggregated Kernel Tests using Incomplete $U$-statistics. 2022. ⟨hal-03701416⟩
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https://arxiv.org/pdf/2206.09194 BibTex
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Felix Biggs, Valentina Zantedeschi, Benjamin Guedj. On Margins and Generalisation for Voting Classifiers. 2022. ⟨hal-03700887⟩
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https://arxiv.org/pdf/2206.04607 BibTex
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Maxime Haddouche, Benjamin Guedj. Online PAC-Bayes Learning. 2022. ⟨hal-03701105⟩
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https://arxiv.org/pdf/2206.00024 BibTex
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Tchamiè Tchazino, Aliou Diop, Sophie Dabo-Niang. Conditional tail and quantile estimation for real-valued β-mixing spatial data. 2022. ⟨hal-03668211⟩
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https://hal.science/hal-03668211/file/projet2%20actualis%C3%A9.pdf BibTex
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Jiale Wei, Qiyuan Chen, Pai Peng, Benjamin Guedj, Le Li. Reprint: a randomized extrapolation based on principal components for data augmentation. 2022. ⟨hal-03659407⟩
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https://arxiv.org/pdf/2204.12024 BibTex
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Serge Iovleff. A New Probabilistic Representation of the Alternating Zeta Function and a New Selberg-like Integral Evaluation. 2022. ⟨hal-03612591⟩
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Antoine Vendeville, Benjamin Guedj, Shi Zhou. On discord in the voter model for complex networks. 2022. ⟨hal-03600429⟩
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https://arxiv.org/pdf/2203.02002 BibTex
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Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi. Measuring dissimilarity with diffeomorphism invariance. 2022. ⟨hal-03573479⟩
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https://inria.hal.science/hal-03573479/file/2202.05614.pdf BibTex
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Antoine Picard-Weibel, Benjamin Guedj. On change of measure inequalities for $f$-divergences. 2022. ⟨hal-03573465⟩
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https://inria.hal.science/hal-03573465/file/2202.05568.pdf BibTex
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Reuben Adams, John Shawe-Taylor, Benjamin Guedj. Controlling Confusion via Generalisation Bounds. 2022. ⟨hal-03573458⟩
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https://inria.hal.science/hal-03573458/file/2202.05560.pdf BibTex
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Felix Biggs, Benjamin Guedj. Non-Vacuous Generalisation Bounds for Shallow Neural Networks. 2022. ⟨hal-03557415⟩
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https://inria.hal.science/hal-03557415/file/2202.01627.pdf BibTex
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Antonin Schrab, Benjamin Guedj, Arthur Gretton. KSD Aggregated Goodness-of-fit Test. 2022. ⟨hal-03554423⟩
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https://inria.hal.science/hal-03554423/file/2202.00824.pdf BibTex
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Sophie Dabo-Niang, Baba Thiam, Thomas Verdebout. Asymptotic efficiency of some nonparametric tests for location on hyperspheres. 2022. ⟨hal-03527763⟩
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Stefano Nasini, Thomas Ringo Tchouya, Sophie Dabo-Niang. An estimation framework for the influential-imitator diffusion. 2022. ⟨hal-03527489⟩
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Mohamed Salem Ahmed, Mohamed Attouch, Sophie Dabo-Niang, Mamadou Ndiaye. K-nearest neighbors method estimation of regression function for spatial dependent data. 2022. ⟨hal-03527479⟩
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Fathima Sainul, Sophie Dabo-Niang, Akim Adekpedjou. Modelling Spatially Clustered Failure Time Data via Multivariate Gaussian Random Fields. 2022. ⟨hal-03527477⟩
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Christelle Agonkoui, Sophie Dabo-Niang, Freedath Djibril Moussa. Multivariate Functional Principal Component Analysis for stratified data. 2022. ⟨hal-03527475⟩
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2021

Journal articles

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Hemant Tyagi. Error analysis for denoising smooth modulo signals on a graph. Applied and Computational Harmonic Analysis, 2021, 57, pp.151-184. ⟨10.1016/j.acha.2021.11.005⟩. ⟨hal-03101720v2⟩
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https://inria.hal.science/hal-03101720/file/error_graph_mod1.pdf BibTex
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Cristian Preda, Quentin Grimonprez, Vincent Vandewalle. Categorical Functional Data Analysis. The cfda R Package. Mathematics , 2021, 9 (23), pp.31. ⟨10.3390/math9233074⟩. ⟨hal-03515152⟩
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Mihai Cucuringu, Apoorv Vikram Singh, Deborah Sulem, Hemant Tyagi. Regularized spectral methods for clustering signed networks. Journal of Machine Learning Research, 2021, 22 (264), pp.1-79. ⟨10.48550/arXiv.2011.01737⟩. ⟨hal-03101710⟩
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https://inria.hal.science/hal-03101710/file/reg_spec_clust_signed_graphs.pdf BibTex
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Michaël Fanuel, Hemant Tyagi. Denoising modulo samples: k-NN regression and tightness of SDP relaxation. Information and Inference, 2021, ⟨10.1093/imaiai/iaab022⟩. ⟨hal-03101740v2⟩
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https://inria.hal.science/hal-03101740/file/kNN_SDP_mod1.pdf BibTex
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Serge-Hippolyte Arnaud Kanga, Ouagnina Hili, Sophie Dabo-Niang. On Nonparametric Conditional Quantile Estimation for Non-stationary Random. Afrika Statistika, 2021, 16 (4), pp.3009-3039. ⟨10.16929/as/2021.3009.193⟩. ⟨hal-03527760⟩
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Adrien Ehrhardt, Christophe Biernacki, Vincent Vandewalle, Philippe Heinrich, Sébastien Beben. Reject Inference Methods in Credit Scoring. Journal of Applied Statistics, 2021, 48 (13-15), pp.2734-2754. ⟨10.1080/02664763.2021.1929090⟩. ⟨hal-03087279v2⟩
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Alexandre d’Aspremont, Mihai Cucuringu, Hemant Tyagi. Ranking and synchronization from pairwise measurements via SVD. Journal of Machine Learning Research, 2021, 22 (19), pp.1-63. ⟨10.48550/arXiv.1906.02746⟩. ⟨hal-02340372⟩
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Margot Selosse, Julien Jacques, Christophe Biernacki. ordinalClust: An R Package to Analyze Ordinal Data. The R Journal, 2021, 12 (2), ⟨10.32614/RJ-2021-011⟩. ⟨hal-01678800v4⟩
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Asma S. Khelifa, Cecilia Guillen Sanchez, Kevin M. Lesage, Ludovic Huot, Thomas Mouveaux, et al.. TgAP2IX-5 is a key transcriptional regulator of the asexual cell cycle division in Toxoplasma gondii. Nature Communications, 2021, 12, pp.116. ⟨10.1038/s41467-020-20216-x⟩. ⟨hal-03107529v2⟩
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Antoine Vendeville, Benjamin Guedj, Shi Zhou. Forecasting elections results via the voter model with stubborn nodes. Applied Network Science, 2021, 6 (1), pp.1. ⟨10.1007/s41109-020-00342-7⟩. ⟨hal-02946434v2⟩
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Alain Celisse, Martin Wahl. Analyzing the discrepancy principle for kernelized spectral filter learning algorithms. Journal of Machine Learning Research, 2021, ⟨10.48550/arXiv.2004.08436⟩. ⟨hal-02548917v2⟩
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Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor. PAC-Bayes unleashed: generalisation bounds with unbounded losses. Entropy, 2021, ⟨10.3390/e23101330⟩. ⟨hal-02872173⟩
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Benjamin Guedj, Le Li. Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly. Entropy, 2021, ⟨10.3390/e23111534⟩. ⟨hal-01796011v2⟩
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Benjamin Guedj, Louis Pujol. Still no free lunches: the price to pay for tighter PAC-Bayes bounds. Entropy, 2021, ⟨10.3390/e23111529⟩. ⟨hal-02401286⟩
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Felix Biggs, Benjamin Guedj. Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks. Entropy, 2021, ⟨10.3390/e23101280⟩. ⟨hal-02879216⟩
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Conference papers

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Sophie Dabo-Niang. Gendergap in Science in Africa.. AERAP Africa-Europe Science Collaboration Platform, Dec 2021, online, France. ⟨hal-04464577⟩
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Maria Perez-Ortiz, Omar Rivasplata, Emilio Parrado-Hernandez, Benjamin Guedj, John Shawe-Taylor. Progress in Self-Certified Neural Networks. NeurIPS 2021 – Conference on Neural Information Processing Systems. Session Workshop : Bayesian Deep Learning, Dec 2021, Virtual, United Kingdom. ⟨10.48550/arXiv.2111.07737⟩. ⟨hal-03430821⟩
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Antoine Vendeville, Benjamin Guedj, Shi Zhou. Towards control of opinion diversity by introducing zealots into a polarised social group. Complex Networks and Their Applications X, Nov 2021, Madrid, Spain. ⟨10.1007/978-3-030-93413-2_29⟩. ⟨hal-02872161v3⟩
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Sophie Dabo-Niang. Detection of spatial mortality patterns using functional principal components for areal data. JSMDS 2021, Nov 2021, Hammamet (TUN), Tunisia. ⟨hal-04464583⟩
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Eole Nyangwile, Wilfried Heyse, Caroline Méjean, Jean Dallongeville. Analyses des transitions alimentaires dans le monde entre 1961 à 2018. Journées Francophones de Nutrition (JFN 2021), JFN, Nov 2021, Online, France. ⟨10.1016/j.cnd.2022.02.004⟩. ⟨hal-03463798⟩
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Sophie Dabo-Niang. Spatial Econometric modeling and Applications to environment and health. First modelization days in Mayotte, Nov 2021, Mayotte, Mayotte. ⟨hal-04464581⟩
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Michaël Fanuel, Hemant Tyagi. Recovering Hölder smooth functions from noisy modulo samples. 55th Asilomar Conference on Signals, Systems, and Computers, IEEE Signal Processing Society, Oct 2021, Pacific Grove, CA, United States. pp.857-861, ⟨10.1109/IEEECONF53345.2021.9723268⟩. ⟨hal-03511325⟩
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Filippo Antonazzo, Christophe Biernacki, Christine Keribin. Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach. Working Group – Model-based Clustering, Oct 2021, Athens, Greece. ⟨hal-03505673⟩
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Sophie Dabo-Niang. Spatial Econometric modeling and Applications
to environment and health. PASRC Webinar, Oct 2021, Princeton (on line), United States. ⟨hal-04507823⟩
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Christophe Biernacki, Nathalie Mitton. L’intelligence artificielle dans la gestion de patrimoine des infrastructures de mobilité. Congrès de l’IDDRIM, Oct 2021, Rennes, France. ⟨hal-03976716⟩
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Christophe Biernacki. Le sport face aux jeux (de données). Session Olympique Universitaire (SOU), Sep 2021, Lille, France. ⟨hal-03505657⟩
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Matthieu Marbac, Mohammed Sedki, Christophe Biernacki, Vincent Vandewalle. Simultaneous semi-parametric estimation of clustering and regression. 52èmes journées de la SFdS, Jun 2021, Nice / Virtual, France. ⟨10.48550/arXiv.2012.14159⟩. ⟨hal-03515286⟩
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Wilfried Heyse, Vincent Vandewalle, Philippe Amouyel, Guillemette Marot, Christophe Bauters, et al.. Support of temporal structure in the statistical analysis of high-throughput proteomic data. Journées de Statistique 2021, Jun 2021, Nice, France. ⟨hal-03525345⟩
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Valentina Zantedeschi, Matt J Kusner, Vlad Niculae. Learning Binary Decision Trees by Argmin Differentiation. International Conference on Machine Learning, Jun 2021, Virtual, United Kingdom. ⟨10.48550/arXiv.2010.04627⟩. ⟨hal-03399069⟩
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Christophe Biernacki, Claire Boyer, Gilles Celeux, Julie Josse, Fabien Laporte, et al.. Impact of Missing Data on Mixtures and Clustering. MHC2021 – Mixtures, Hidden Markov Models, Clustering, Jun 2021, Orsay, France. ⟨hal-03505664⟩
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Wilfried Heyse, Vincent Vandewalle, Philippe Amouyel, Guillemette Marot, Christophe Bauters, et al.. Identification of patients subtypes based on protein expression for prediction of heart failure after myocardial infarction. Printemps de la cardiologie 2021, May 2021, Online, France. pp.213, ⟨10.1016/j.acvdsp.2021.04.159⟩. ⟨hal-03525354⟩
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Christophe Biernacki, Claire Boyer, Gilles Celeux, Julie Josse, Fabien Laporte, et al.. Dealing with missing data in model-based clustering through a MNAR model. The 14th Professor Aleksander Zeliaś International Conference on Modelling and Forecasting of Socio-Economic Phenomena, May 2021, Zakopane, Poland. ⟨hal-03505659⟩
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Vincent Cohen-Addad, Benjamin Guedj, Varun Kanade, Guy Rom. Online $k$-means Clustering. AISTATS 2021 – The 24th International Conference on Artificial Intelligence and Statistics, Apr 2021, Virtual, France. ⟨10.48550/arXiv.1909.06861⟩. ⟨hal-02401290⟩
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Guillaume Braun, Hemant Tyagi, Christophe Biernacki. Clustering multilayer graphs with missing nodes. The 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021), Apr 2021, « Virtual », France. ⟨10.48550/arXiv.2103.03235⟩. ⟨hal-03505636⟩
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Christophe Biernacki, Matthieu Marbac Lourdelle, Vincent Vandewalle. Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering. MIMO 2021: Workshop on Mixture Models, Apr 2021, Rouen, France. ⟨hal-03505667⟩
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Sophie Dabo-Niang. Bridging Nonparametric Statistics and Spatial Data Modeling. Stochastic geometry days, Feb 2021, Dunkerque, France. ⟨hal-04464579⟩
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Soumia Boumeddane, Leila Hamdad, Hamid Haddadou, Sophie Dabo-Niang. Dimensionality Reduction and Bandwidth Selection for Spatial Kernel Discriminant Analysis. 13th International Conference on Agents and Artificial Intelligence, Feb 2021, Online Streaming, New Zealand. pp.278-285, ⟨10.5220/0010269002780285⟩. ⟨hal-03527454⟩
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Christian Schroeder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele de Martini, Freddie Kalaitzis, et al.. RainBench: Towards Global Precipitation Forecasting from Satellite Imagery. Association for the Advancement of Artificial Intelligence, Feb 2021, Virtual, United Kingdom. ⟨10.48550/arXiv.2012.09670⟩. ⟨hal-03425405⟩
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Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, et al.. Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound. NeurIPS, 2021, Online, France. ⟨10.5555/3540261.3540296⟩. ⟨hal-03278470⟩
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Book sections

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Filippo Antonazzo, Christophe Biernacki, Christine Keribin. A binned technique for scalable model-based clustering on huge datasets. Book of Short Papers of the 5th international workshop on Models and Learning for Clustering and Classification MBC2 2020, Catania, Italy, pp.11-16, 2021. ⟨hal-03097284v2⟩
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Vincent Vandewalle, Cristian Preda, Sophie Dabo-Niang. Clustering spatial functional data. J. Mateu and R. Giraldo. Geostatistical Functional Data Analysis : Theory and Methods. Editors: Jorge Mateu, Ramon Giraldo, 1, Wiley, 2021, Geostatistical Functional Data Analysis : Theory and Methods, ⟨10.1002/9781119387916.ch7⟩. ⟨hal-01948934⟩
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Sophie Dabo-Niang, Camille Ternynck, Baba Thiam, Anne-Françoise Yao. Non-parametric statistical analysis of spatially distributed functional data. Ramon Giraldo; Jorge Mateu. Geostatistical Functional Data Analysis, Wiley, 2021, 978-1-119-38784-8. ⟨10.1002/9781119387916.ch8⟩. ⟨hal-01812238⟩
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Mohamed-Salem Ahmed, Laurence Broze, Sophie Dabo-Niang, Zied Gharbi. Quasi-maximum Likelihood Estimators for Functional Linear Spatial Autoregressive Models. Ramon Giraldo; Jorge Mateu. Geostatistical Functional Data Analysis: Theory and Methods, Wiley, 2021, Wiley Series in Probability and Statistics, 978-1-119-38784-8. ⟨10.1002/9781119387916.ch12⟩. ⟨hal-01810819⟩
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Habilitation à diriger des recherches

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Guillemette Marot. Contributions méthodologiques en statistique pour l’analyse et l’intégration de données -omiques et cliniques. Statistiques [math.ST]. Université de Lille, 2021. ⟨tel-03440914⟩
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Vincent Vandewalle. Contribution to model-based clustering of heterogeneous data. Statistics [math.ST]. Université de Lille, 2021. ⟨tel-03118189⟩
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Lectures

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Filippo Antonazzo, Christophe Biernacki, Christine Keribin. Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach. Doctoral. France. 2021. ⟨hal-03505670⟩
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Christophe Biernacki. Traitement statistique des donn ́ees manquantes-Part III Missing not at random data (MNAR). Doctoral. France. 2021. ⟨hal-03505651⟩
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Christophe Biernacki. Traitement statistique des donn ́ees manquantes-Part IV Binned data for big data analysis. Doctoral. France. 2021. ⟨hal-03505653⟩
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Christophe Biernacki. Traitement statistique des données manquantes-Part II
Numerical and non-numerical data. Doctorat. France. 2021. ⟨hal-03505650⟩
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Other publications

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Benjamin Guedj. Covid-19 and AI: Unexpected Challenges and Lessons. 2021. ⟨hal-03277494v2⟩
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Documents associated with scientific events

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Cristian Preda, Quentin Grimonprez, Vincent Vandewalle. Categorical functional data analysis. The cfda R package. The 14th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2021, London, United Kingdom. ⟨hal-03518940⟩
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Cristian Preda, Quentin Grimonprez, Vincent Vandewalle. Analyse des données fonctionnelles catégorielles. Le package R cfda. JDS 2021 : 52èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2021, Nice, France. ⟨hal-03519016⟩
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Preprints, Working Papers, …

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Filippo Antonazzo, Christophe Biernacki, Christine Keribin. Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach. 2021. ⟨hal-03485364⟩
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Tchamiè Tchazino, Sophie Dabo-Niang, Aliou Diop. Tail and quantile estimation for real-valued β-mixing spatial data. 2021. ⟨hal-03457114⟩
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María Pérez-Ortiz, Omar Rivasplata, Benjamin Guedj, Matthew Gleeson, Jingyu Zhang, et al.. Learning PAC-Bayes Priors for Probabilistic Neural Networks. 2021. ⟨hal-03351794⟩
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Tchazino Tchamie, Sophie Dabo-Niang, Aliou Diop. Estimation of extreme tail index for β−mixing random fields. 2021. ⟨hal-03133830⟩
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Sophie Dabo-Niang, Mékapeu Solange Doumun, Jeremie Thouakesseh Zoueu. A Novel Unstained Blood Smears Multispectral Images Normalization. Application to Unstained Malaria Infected Blood Smear.. 2021. ⟨hal-03133828⟩
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Thomas Ringo Tchouya, Stefano Nasini, Sophie Dabo-Niang. An asymptotic approximation for the extended Bass diffusion model and application to pandemic outbreaks. 2021. ⟨hal-03133829⟩
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Dharini Pathmanathan, Alaa Ali Hassan, Alaa Hassan, Sophie Dabo-Niang. Exploring spatial patterns of mortality in Europe using functional spatial principal components for areal data. 2021. ⟨hal-03133827⟩
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Sophie Dabo-Niang, Dharini Pathmanathan, Hasmahzaiti Omar. Clustering DNA sequences for phylogenetic trees using a functional data framework. 2021. ⟨hal-03133825⟩
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Videos

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Damien A. Devault, Solym Mawaki Manou-Abi, François Xavier Lamure, Manon Squadrelli, Jean-François Desprats, et al.. Analyse statistique et cartographique des déterminants pédologiques influençant la déchloration de la chlordécone en Martinique. 2021. ⟨hal-04566068⟩
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2020

Journal articles

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Florent Dewez. Stability of propagation features under time-asymptotic approximations for a class of dispersive equations. Journal of Mathematical Analysis and Applications, 2020, 491 (1), pp.124292. ⟨10.1016/j.jmaa.2020.124292⟩. ⟨hal-03490225⟩
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Florent Dewez, Benjamin Guedj, Vincent Vandewalle. From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning. Data-Centric Engineering, 2020, ⟨10.1017/dce.2020.12⟩. ⟨hal-02570875⟩
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Mékapeu Solange Doumun, Sophie Dabo-Niang, Jérémie Zoueu. Detection and segmentation of erythrocytes in multispectral label-free blood smear images for automatic cell counting. Journal of Spectral Imaging, 2020, 9 (Article ID a10), ⟨10.1255/jsi.2020.a10⟩. ⟨hal-03133812⟩
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Soumia Boumeddane, Leila Hamdad, Hamid Haddadou, Sophie Dabo-Niang. A kernel discriminant analysis for spatially dependent data. Distributed and Parallel Databases, 2020, 39 (3), pp.583-606. ⟨10.1007/s10619-020-07309-8⟩. ⟨hal-03133813⟩
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Vincent Vandewalle, Alexandre Caron, Coralie Delettrez, Renaud Périchon, Sylvia Pelayo, et al.. Estimating the number of usability problems affecting medical devices: modelling the discovery matrix. BMC Medical Research Methodology, 2020, 20 (1), ⟨10.1186/s12874-020-01091-y⟩. ⟨hal-03117742⟩
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Christophe Biernacki, Matthieu Marbac, Vincent Vandewalle. Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering. Journal of Classification, 2020, ⟨10.1007/s00357-020-09369-y⟩. ⟨hal-01949155v3⟩
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Akim Adekpedjou, Sophie Dabo-Niang. Semiparametric estimation with spatially correlated recurrent events. Scandinavian Journal of Statistics, 2020, ⟨10.1111/sjos.12480⟩. ⟨hal-03133810⟩
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Damya Souami, Jacky Cresson, Christophe Biernacki, Frédéric Pierret. On the local and global properties of the gravitational spheres of influence. Monthly Notices of the Royal Astronomical Society, 2020, 496 (4), pp.4287-429. ⟨10.1093/mnras/staa1520⟩. ⟨hal-02617073⟩
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Cristian Preda, Alexandru Amarioarei. One Dimensional Discrete Scan Statistics for Dependent Models and Some Related Problems. Mathematics , 2020, 8 (4), pp.576. ⟨10.3390/math8040576⟩. ⟨hal-03114193⟩
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Vincent Vandewalle. Multi-Partitions Subspace Clustering. Mathematics , 2020, 8 (4), pp.597. ⟨10.3390/math8040597⟩. ⟨hal-03117603⟩
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Mohamed Ali Ben Alaya, Camille Ternynck, Sophie Dabo-Niang, Fateh Chebana, Taha B.M.J. Ouarda. Change point detection of flood events using a functional data framework. Advances in Water Resources, 2020, 137, pp.103522. ⟨10.1016/j.advwatres.2020.103522⟩. ⟨hal-03133809⟩
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Benjamin Guedj, Bhargav Srinivasa Desikan. Kernel-Based Ensemble Learning in Python. Information, 2020, 11 (2), pp.63. ⟨10.3390/info11020063⟩. ⟨hal-02443097v2⟩
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Margot Selosse, Julien Jacques, Christophe Biernacki. Textual data summarization using the Self-Organized Co-Clustering model. Pattern Recognition, 2020, 103, pp.107315. ⟨10.1016/j.patcog.2020.107315⟩. ⟨hal-02115294v3⟩
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Stéphane Chrétien, Hemant Tyagi. Multi-kernel unmixing and super-resolution using the Modified Matrix Pencil method. Journal of Fourier Analysis and Applications, 2020, 26 (18), ⟨10.1007/s00041-020-09725-x⟩. ⟨hal-02379598⟩
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Mihai Cucuringu, Hemant Tyagi. Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping. Journal of Machine Learning Research, 2020, 21 (32), pp.1−77. ⟨hal-02379573⟩
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Sophie Dabo-Niang, Baba Thiam. Kernel regression estimation with errors-in-variables for random fields. Afrika Matematika, 2020, 31, pp.29-56. ⟨10.1007/s13370-019-00654-7⟩. ⟨hal-02334993⟩
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Hiba Alawieh, Nicolas Wicker, Christophe Biernacki. Projection under pairwise distance controls. Communications in Statistics – Theory and Methods, 2020, ⟨10.1080/03610926.2020.1741626⟩. ⟨hal-01420662v5⟩
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Margot Selosse, Julien Jacques, Christophe Biernacki. Model-based co-clustering for mixed type data. Computational Statistics and Data Analysis, 2020, 144, pp.106866. ⟨10.1016/j.csda.2019.106866⟩. ⟨hal-01893457v2⟩
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Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant. PAC-Bayes and Domain Adaptation. Neurocomputing, 2020, 379, pp.379-397. ⟨10.1016/j.neucom.2019.10.105⟩. ⟨hal-01563152v3⟩
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Conference papers

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Margot Selosse, Isobel Claire Gormley, Julien Jacques, Christophe Biernacki. A bumpy journey: exploring deep Gaussian mixture models. I Can’t Believe It’s Not Better @ NeurIPS 2020, Dec 2020, Vancouver, Canada. ⟨hal-02985701⟩
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https://hal.science/hal-02985701/file/ICBINB_hal.pdf BibTex
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Sophie Dabo-Niang. The contribution of Mathematical Sciences in supporting robust disease prevention and modelling in Africa. The contribution of Mathematical Sciences in supporting robust disease prevention and modelling in Africa, Dec 2020, Virtual Meeting, South Africa. ⟨hal-03133823⟩
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Sophie Dabo-Niang. The contribution of Mathematical Sciences in supporting robust disease prevention and modelling in Africa.. NEF (Next Enstein Forum), Dec 2020, Online (south africa), France. ⟨hal-04464569⟩
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Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson. PAC-Bayesian Bound for the Conditional Value at Risk. NeurIPS 2020, Dec 2020, Vancouver / Virtual, Canada. ⟨hal-02883728⟩
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Alexandru Amarioarei, Cristian Preda. Scan statistics for some dependent models.
Applications.. STATMOD2020 Statistical Modeling with Applications, Nov 2020, Bucharest, Romania. ⟨hal-03141585⟩
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Sophie Dabo-Niang. Statistical modeling of Spatial Big data and Applications. AIMS South-Africa webinar, Nov 2020, online (South Africa), South Africa. ⟨hal-04464572⟩
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Wilfried Heyse, Vincent Vandewalle, Philippe Amouyel, Guillemette Marot, Christophe Bauters, et al.. Proteomic signature for early diagnosis of left ventricular remodeling after myocardial infarction. Printemps de la cardiologie 2020, Oct 2020, Grenoble, France. ⟨hal-03124801⟩
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Quentin Grimonprez, Benjamin Lamoureux, Etienne Goffinet, Pierre Dersin, Christophe Biernacki. Diagnostic automatisé d’aiguillage ferroviaire par apprentissage statistique. Congrès Lambda Mu 22 « Les risques au cœur des transitions » (e-congrès) – 22e Congrès de Maîtrise des Risques et de Sûreté de Fonctionnement, Institut pour la Maîtrise des Risques, Oct 2020, Le Havre (e-congrès), France. ⟨hal-03479596⟩
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Alain Celisse, Olivier Gauriau, Margot Corréard, Jean-François Bouin, Lennart Priester, et al.. SYSBOOSTER, application of Data Science to surveillance of systems for detection or anticipation of dysfunctions or failures of systems. Congrès Lambda Mu 22 « Les risques au cœur des transitions » (e-congrès) – 22e Congrès de Maîtrise des Risques et de Sûreté de Fonctionnement, Institut pour la Maîtrise des Risques, Oct 2020, Le Havre (e-congrès), France. pp.1-9. ⟨hal-03483963⟩
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https://hal.science/hal-03483963/file/LM22_COM_FULL_493240_Emmanuel_Arbaretier_20200716_308700.pdf BibTex
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Vincent Vandewalle, Alexandre Caron, Benoît Dervaux. Estimation du nombre de problèmes et détermination du nombre de sujets nécessaires dans les études d’utilisabilité : une approche bayésienne. Journées Biostatistiques 2020 – GDR « Statistiques & santé », Oct 2020, Paris, France. ⟨hal-03118164⟩
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Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki. Target to Source Coordinate-wise Adaptation of Pre-trained Models. ECML PKDD 2020 – The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent / Virtual, Belgium. ⟨hal-03087284⟩
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https://inria.hal.science/hal-03087284/file/sub_957.pdf BibTex
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Kento Nozawa, Pascal Germain, Benjamin Guedj. PAC-Bayesian Contrastive Unsupervised Representation Learning. UAI 2020 – Conference on Uncertainty in Artificial Intelligence, Aug 2020, Toronto, Canada. ⟨hal-02401282⟩
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Stephane Chretien, Benjamin Guedj. Revisiting clustering as matrix factorisation on the Stiefel manifold. LOD 2020 – the Sixth International Conference on Machine Learning, Optimisation and Data Science, Jul 2020, Siena, Italy. ⟨hal-02064396⟩
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Benjamin Guedj, Juliette Rengot. Non-linear aggregation of filters to improve image denoising. Computing Conference 2020, Jul 2020, London, United Kingdom. ⟨hal-02086856v2⟩
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Guillaume Braun, Christophe Biernacki, Hemant Tyagi. Clustering on multilayer graphs with missing values. Journée de Statistique de la SFdS, May 2020, Nice, France. ⟨hal-03122104⟩
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https://inria.hal.science/hal-03122104/file/JdS_multilayer_graphs.pdf BibTex
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Margot Selosse, Julien Jacques, Christophe Biernacki. Co-clustering contraint pour le résumé de matrices document-terme. JdS 2020 – 52èmes Journées de Statistique de la Société Française de Statistique, May 2020, Nice, France. ⟨hal-02490028⟩
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Filippo Antonazzo, Christophe Biernacki, Christine Keribin. Estimation of univariate Gaussian mixtures for huge raw datasets by using binned datasets. JDS 2020 – 52ème Journées de Statistiques de la Société Française de Statistique, May 2020, Nice, France. ⟨hal-03082437v2⟩
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Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain, Mihaly Petreczky. Improved PAC-Bayesian Bounds for Linear Regression. AAAI 2020 – Thirty-Fourth AAAI Conference on Artificial Intelligence, Feb 2020, New York, United States. ⟨hal-02396556⟩
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Books

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Sophie Dabo-Niang, Solym Manou-Abi, Jean-Jacques Salone (Dir.). Mathematical Modeling and Study of Random or Deterministic Phenomena. Wiley, 2020, 9781786304544. ⟨hal-02334997⟩
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Poster communications

ref_biblio
Wilfried Heyse, Vincent Vandewalle, Philippe Amouyel, Guillemette Marot, Christophe Bauters, et al.. Proteomic signature for early diagnosis of left ventricular remodeling after myocardial infarction. Printemps de la Cardiologie 2020, Oct 2020, Grenoble / Virtual, France. ⟨hal-03124837⟩
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https://inria.hal.science/hal-03124837/file/PC2020_HEYSE_Poster.pdf BibTex

Reports

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Luce Brotcorne, Anne Canteaut, Aline Carneiro Viana, Céline Grandmont, Benjamin Guedj, et al.. Indicateurs de suivi de l’activité scientifique de l’Inria. [Rapport de recherche] Inria. 2020. ⟨hal-03033764⟩
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Theses

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Yaroslav Averyanov. Designing and analyzing new early stopping rules for saving computational resources. Statistics [math.ST]. Université de Lille; Inria, 2020. English. ⟨NNT : ⟩. ⟨tel-03133391⟩
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Preprints, Working Papers, …

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Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor. Upper and Lower Bounds on the Performance of Kernel PCA. 2020. ⟨hal-03084598⟩
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Théophile Cantelobre, Benjamin Guedj, María Pérez-Ortiz, John Shawe-Taylor. A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings. 2020. ⟨hal-03046401⟩
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https://inria.hal.science/hal-03046401/file/2012.03780.pdf BibTex
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Cristian Preda, Quentin Grimonprez, Vincent Vandewalle. cfda: an R Package for Categorical Functional Data Analysis. 2020. ⟨hal-02973094⟩
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https://inria.hal.science/hal-02973094/file/CFDA-2.pdf BibTex
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Serge Iovleff, Seydou Nourou Sylla, Cheikh Loucoubar. Block clustering of Binary Data with Gaussian Co-variables. 2020. ⟨hal-01961978v2⟩
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2019

Journal articles

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Marie Cuvelliez, Vincent Vandewalle, Maxime Brunin, Olivia Beseme, Audrey Hulot, et al.. Circulating proteomic signature of early death in heart failure patients with reduced ejection fraction. Scientific Reports, 2019, 9, pp.19202. ⟨10.1038/s41598-019-55727-1⟩. ⟨hal-02414293v2⟩
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Sylvain Arlot, Alain Celisse, Zaid Harchaoui. A Kernel Multiple Change-point Algorithm via Model Selection. Journal of Machine Learning Research, 2019, 20 (162), pp.1–56. ⟨hal-00671174v3⟩
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Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini. Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters. Neurocomputing, 2019, 358, pp.81-92. ⟨10.1016/j.neucom.2019.04.072⟩. ⟨hal-01857463v4⟩
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https://hal.science/hal-01857463/file/PBMVBoost_Paper.pdf BibTex
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Maxime Baelde, Christophe Biernacki, Raphaël Greff. Real-Time Monophonic and Polyphonic Audio Classification from Power Spectra. Pattern Recognition, 2019, 92, pp.82-92. ⟨10.1016/j.patcog.2019.03.017⟩. ⟨hal-01834221v3⟩
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Armin Eftekhari, Jared Tanner, Andrew Thompson, Bogdan Toader, Hemant Tyagi. Sparse non-negative super-resolution — simplified and stabilised. Applied and Computational Harmonic Analysis, 2019, ⟨10.1016/j.acha.2019.08.004⟩. ⟨hal-02379445⟩
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Margot Selosse, Julien Jacques, Christophe Biernacki, Florence Cousson-Gélie. Analysing a quality of life survey using a co-clustering model for ordinal data and some dynamic implications. Journal of the Royal Statistical Society: Series C Applied Statistics, 2019, 68 (Part 5), pp.1327-1349. ⟨10.1111/rssc.12365⟩. ⟨hal-01643910v3⟩
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Michela Bernardini, Alessia Brossa, Giorgia Chinigo, Guillaume Grolez, Giulia Trimaglio, et al.. Transient Receptor Potential Channel Expression Signatures in Tumor-Derived Endothelial Cells: Functional Roles in Prostate Cancer Angiogenesis. Cancers, 2019, 11 (7), pp.956. ⟨10.3390/cancers11070956⟩. ⟨hal-02404061⟩
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Florent Dewez, Valentin Montmirail. Decrypting the Hill Cipher via a Restricted Search over the Text-Space. Linköping Electronic Conference Proceedings, 2019. ⟨hal-02271395⟩
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Denis A Mogilenko, Joël Haas, Laurent L’Homme, Sébastien Fleury, Sandrine Quemener, et al.. Metabolic and innate immune cues merge into a specific inflammatory response via unfolded protein
response (UPR). Cell, In press, 177 (5), pp.1201-1216.e19. ⟨10.1016/j.cell.2019.03.018⟩. ⟨inserm-02084447⟩
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Hemant Tyagi, Jan Vybiral. Learning general sparse additive models from point queries in high dimensions. Constructive Approximation, 2019, 50, pp.403-455. ⟨10.1007/s00365-019-09461-6⟩. ⟨hal-02379404⟩
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Samuel Blanck, Guillemette Marot. SMAGEXP: a galaxy tool suite for transcriptomics data meta-analysis.. GigaScience, 2019, GigaScience, 8 (2), ⟨10.1093/gigascience/giy167⟩. ⟨hal-03897308⟩
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Sophie Dabo-Niang, Stelian Curceac, Camille Ternynck, Taha B.M.J. Ouarda, Fateh Chebana. Short-term air temperature forecasting using Nonparametric Functional Data Analysis and SARMA models. Environmental Modelling and Software, 2019, 111, pp.394-408. ⟨10.1016/j.envsoft.2018.09.017⟩. ⟨hal-02334991⟩
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Pierre Alliez, Roberto Di Cosmo, Benjamin Guedj, Alain Girault, Mohand-Said Hacid, et al.. Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria. Computing in Science and Engineering, 2019, pp.1-14. ⟨10.1109/MCSE.2019.2949413⟩. ⟨hal-02135891v2⟩
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Mohamed-Salem Ahmed, Sophie Dabo-Niang, Michaël Genin, Alaa Ali Hassan. Partially Linear Spatial Probit Models. Annales de l’ISUP, 2019, 63 (2-3), pp.71-96. ⟨hal-03133818⟩
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https://hal.science/hal-03133818/file/Pages%20de%20DEP_8-V-64396_%282015-2019%29-44.pdf BibTex
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Gildas Mazo, Yaroslav Averyanov. Constraining kernel estimators in semiparametric copula mixture models. Computational Statistics and Data Analysis, 2019, 138, pp.170-189. ⟨10.1016/j.csda.2019.04.010⟩. ⟨hal-02620478⟩
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Conference papers

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Luxin Zhang, Christophe Biernacki, Pascal Germain, Yacine Kessaci. Domain Adaptation from a Pre-trained Source Model: Application on fraud detection tasks. CMStatistics 2019 – 12th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2019, London, United Kingdom. ⟨hal-02399003⟩
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Gildas Mazo, Yaroslav Averyanov. Semiparametric mixture models based on copulas. CMStatistics, Dec 2019, London, United Kingdom. ⟨hal-04249019⟩
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Paul Viallard, Rémi Emonet, Pascal Germain, Amaury Habrard, Emilie Morvant. Interpreting Neural Networks as Majority Votes through the PAC-Bayesian Theory. Workshop on Machine Learning with guarantees @ NeurIPS 2019, Dec 2019, Vancouver, Canada. ⟨hal-02335762⟩
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Zakaria Mhammedi, Peter Grünwald, Benjamin Guedj. PAC-Bayes Un-Expected Bernstein Inequality. NeurIPS 2019, Dec 2019, Vancouver, Canada. ⟨hal-02401295⟩
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Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette. Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. NeurIPS 2019 – Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. ⟨hal-02139432v2⟩
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Alexandre Constantin, Mathieu Fauvel, Stéphane Girard, Serge Iovleff, Yannick Tanguy. Classification de Signaux Multidimensionnels Irrégulièrement Echantillonnés. 2019 – Journée Jeunes Chercheurs MACLEAN du GDR MADICS, Dec 2019, Paris, France. pp.1-2. ⟨hal-02394120⟩
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Christophe Biernacki. MASSICCC: A SaaS Platform for Clustering and Co-Clustering of Mixed Data. APSEM 2019 ((Apprentissage et SEMantique)) : éco-systèmes pour la science ouverte et recherche par les données, Oct 2019, Toulouse, France. ⟨hal-02399180⟩
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John Klein, Mahmoud Albardan, Benjamin Guedj, Olivier Colot. Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles. ECML-PKDD, Decentralized Machine Learning at the Edge Workshop, Sep 2019, Wurzburg, Germany. ⟨10.1007/978-3-030-43823-4_26⟩. ⟨hal-01779989⟩
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Christophe Biernacki, Alexandre Lourme. Unifying Data Units and Models in (Co-)Clustering. CLADAG 2019 – 12th Scientific Meeting Classification and Data Analysis Group, Sep 2019, Cassino, Italy. ⟨hal-02398982⟩
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Pierre Dias, Emmanuelle Le Barbenchon, Sophie Fantoni-Quinton, Véronique Christophe, Sophie Dabo-Niang, et al.. Les professions et catégories socioprofessionnelles explicatives du retour au travail suite au cancer du sein. 60e Congrès annuel de la société française de psychologie, Sep 2019, Poitiers, France. ⟨hal-03738611⟩
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V Vandewalle, Camille Ternynck, Guillemette Marot. Linking different kinds of Omics data through a model-based clustering approach. IFCS 2019, Aug 2019, Thessalonique, Greece. ⟨hal-02400525⟩
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Sophie Dabo-Niang. Education in Developing countries. 62st World Statistics Congress, Aug 2019, Kuala Lumpur, Malaysia. ⟨hal-04464566⟩
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Christine Keribin, Christophe Biernacki. Co-clustering: model based or model free approaches. ISI WSC 2019 – 62nd ISI World Statistics Congress, Aug 2019, Kuala Lumpur, Malaysia. ⟨hal-02399031⟩
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Léo Gautheron, Pascal Germain, Amaury Habrard, Gaël Letarte, Emilie Morvant, et al.. Revisite des “random Fourier features” basée sur l’apprentissage PAC-Bayésien via des points d’intérêts. CAp 2019 – Conférence sur l’Apprentissage automatique, Jul 2019, Toulouse, France. ⟨hal-02148600⟩
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Christophe Biernacki, Matthieu Marbac-Lourdelle, Vincent Vandewalle. Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering. 3rd International Conference on Econometrics and Statistics (EcoSta 2019), Jun 2019, Taichung, Taiwan. ⟨hal-02398999⟩
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Sophie Dabo-Niang. Quasi-Maximum Likelihood Estimators For Functional Spatial Autoregressive Models. 7th Statistical Meeting of Avignon-Marseille, Jun 2019, Marseille (13), France. ⟨hal-04464565⟩
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Christophe Biernacki, Margot Corréard. Predictive maintenance solution without additional sensors. Forum TERATEC, Jun 2019, Palaiseau, France. ⟨hal-02399046⟩
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Fabien Laporte, Christophe Biernacki, Gilles Celeux, Julie Josse. Modèles de classification non supervisée avec données manquantes non au hasard. JdS 2019 – 51e journées de statistique de la Sfds, Jun 2019, Nancy, France. ⟨hal-02398984⟩
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Christine Keribin, Christophe Biernacki. Le modèle des blocs latents, une méthode régularisée pour la classification en grande dimension. JdS 2019 – 51èmes Journées de Statistique de la SFdS, Jun 2019, Nancy, France. ⟨hal-02391379⟩
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Gaël Letarte, Emilie Morvant, Pascal Germain. Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior. The 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Japan. ⟨hal-01908555v2⟩
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Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi. SPONGE: A generalized eigenproblem for clustering signed networks. AISTATS, Apr 2019, Okinawa, Japan. ⟨hal-02379505⟩
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Christophe Biernacki, Gilles Celeux, Julie Josse, Fabien Laporte. Dealing with missing data in model-based clustering through a MNAR model. CRoNos & MDA 2019 – Meeting and Workshop on Multivariate Data Analysis and Software, Apr 2019, Limassol, Cyprus. ⟨hal-02103347⟩
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Christophe Biernacki, Matthieu Marbac-Lourdelle, Vincent Vandewalle. Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering. SPSR 2019, Apr 2019, Bucarest, Romania. ⟨hal-02400486⟩
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Poster communications

ref_biblio
Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette. Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. ML with guarantees — NeurIPS 2019 workshop, Dec 2019, Vancouver, Canada. ⟨hal-02482354⟩
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https://inria.hal.science/hal-02482354/file/42-PBGNet_poster.pdf BibTex
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Alexandre Constantin, Mathieu Fauvel, Stéphane Girard, Serge Iovleff. Classification de Signaux Multidimensionnels Irrégulièrement Échantillonnés. GRETSI 2019 – 27e Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France. ⟨hal-02276255⟩
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https://hal.science/hal-02276255/file/papier_gretsi_2019_supervised_classif_irreg_sampled_spectra.pdf BibTex
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Fabien Laporte, Christophe Biernacki, Gilles Celeux, Julie Josse. Model-based clustering with missing not at random data. Missing mechanism. Working Group on Model-Based Clustering Summer Session, Jul 2019, Vienne, Austria. ⟨hal-02398987⟩
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Alexandre Constantin, Mathieu Fauvel, Stéphane Girard, Serge Iovleff. Supervised classification of multidimensional and irregularly sampled signals. Statlearn 2019 – Workshop on Challenging problems in Statistical Learning, Apr 2019, Grenoble, France. pp.1. ⟨hal-02092347⟩
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Documents associated with scientific events

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Benjamin Guedj, John Shawe-Taylor. A Primer on PAC-Bayesian Learning. ICML 2019 – Thirty-sixth International Conference on Machine Learning, Jun 2019, Long Beach, United States. 2019. ⟨hal-02537094⟩
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Theses

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Adrien Ehrhardt. Formalization and study of statistical problems in Credit Scoring: Reject inference, discretization and pairwise interactions, logistic regression trees. Methodology [stat.ME]. Université de Lille, 2019. English. ⟨NNT : ⟩. ⟨tel-02302691⟩
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Maxime Baelde. Modèles génératifs pour la classification et la séparation de sources sonores en temps-réel. Méthodologie [stat.ME]. Université de Lille 1, 2019. Français. ⟨NNT : ⟩. ⟨tel-02399081⟩
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Anne-Lise Bedenel. Appariement de descripteurs évoluant dans le temps : application à la comparaison d’assurance. Méthodologie [stat.ME]. Université de Lille I, 2019. Français. ⟨NNT : ⟩. ⟨tel-02399068⟩
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Preprints, Working Papers, …

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Seydou Nourou Sylla, Sophie Dabo-Niang, Cheikh Loucoubar. Functional data analysis of parasite densities in the Senegalese villages of Dielmo and NDiop. 2019. ⟨hal-02335001⟩
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Léo Gautheron, Pascal Germain, Amaury Habrard, Emilie Morvant, Marc Sebban, et al.. Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting. 2019. ⟨hal-02148618⟩
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Jie Zhang, Earl T Barr, Benjamin Guedj, Mark Harman, John Shawe-Taylor. Perturbed Model Validation: A New Framework to Validate Model Relevance. 2019. ⟨hal-02139208v2⟩
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Benjamin Guedj. A Primer on PAC-Bayesian Learning. 2019. ⟨hal-01983732v3⟩
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Adrien Ehrhardt, Christophe Biernacki, Vincent Vandewalle, Philippe Heinrich. Feature quantization for parsimonious and interpretable predictive models. 2019. ⟨hal-01949135v2⟩
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Gildas Mazo, Yaroslav Averyanov. Constraining kernel estimators in semiparametric copula mixture models. 2019. ⟨hal-01774629v3⟩
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2018

Journal articles

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Leila Hamdad, Ouafae Benrabah, Sophie Dabo-Niang. Exploring spectral density estimation for spatial linear process with mixing innovations. Arabian Journal of Mathematics, 2018, 9 (1), pp.101-121. ⟨10.1007/s40065-018-0227-3⟩. ⟨hal-04500320⟩
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Matthieu Marbac, Vincent Vandewalle. A tractable Multi-Partitions Clustering. Computational Statistics and Data Analysis, 2018, ⟨10.1016/j.csda.2018.06.013⟩. ⟨hal-01691417⟩
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Julien Jacques, Christophe Biernacki. Model-Based Co-clustering for Ordinal Data. Computational Statistics and Data Analysis, 2018, 123, pp.101-115. ⟨10.1016/j.csda.2018.01.014⟩. ⟨hal-01448299v2⟩
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Benjamin Guedj, Bhargav Srinivasa Desikan. Pycobra: A Python Toolbox for Ensemble Learning and Visualisation. Journal of Machine Learning Research, 2018, 18, pp.1 – 5. ⟨hal-01514059v3⟩
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Christophe Biernacki, Alexandre Lourme. Unifying Data Units and Models in (Co-)Clustering. Advances in Data Analysis and Classification, 2018, 13, pp.7-31. ⟨10.1007/s11634-018-0325-2⟩. ⟨hal-01653881⟩
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Yosra Ben Slimen, Sylvain Allio, Julien Jacques. Model-Based Co-clustering for Functional Data. Neurocomputing, 2018, 291, pp.97-108. ⟨10.1016/j.neucom.2018.02.055⟩. ⟨hal-01422756⟩
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Ramón Giraldo, Sophie Dabo-Niang, Sergio Martinez. Statistical modeling of spatial big data: An approach from a functional data analysis perspective. Statistics and Probability Letters, 2018, 136, pp.126-129. ⟨10.1016/j.spl.2018.02.025⟩. ⟨hal-01744181⟩
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Clarisse Dhaenens, Julie Jacques, Vincent Vandewalle, Maxence Vandromme, Emmanuel Chazard, et al.. ClinMine: Optimizing the Management of Patients in Hospital. Innovation and Research in BioMedical engineering, 2018, 39 (2), pp.83-92. ⟨10.1016/j.irbm.2017.12.002⟩. ⟨hal-01692197⟩
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Pierre Alquier, Benjamin Guedj. Simpler PAC-Bayesian Bounds for Hostile Data. Machine Learning, 2018, 107 (5), pp.887-902. ⟨10.1007/s10994-017-5690-0⟩. ⟨hal-01385064v3⟩
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Le Li, Benjamin Guedj, Sébastien Loustau. A Quasi-Bayesian Perspective to Online Clustering. Electronic Journal of Statistics , 2018, ⟨10.1214/18-EJS1479⟩. ⟨hal-01264233v4⟩
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Benjamin Guedj, Sylvain Robbiano. PAC-Bayesian High Dimensional Bipartite Ranking. Journal of Statistical Planning and Inference, 2018, ⟨10.1016/j.jspi.2017.10.010⟩. ⟨hal-01226472⟩
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Conference papers

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Sophie Dabo-Niang. Bridging Functional Data Analysis and Spatial Data Modeling. Environmental Econometric Days, Dec 2018, Nador, Morocco. ⟨hal-04464564⟩
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Christine Keribin, Christophe Biernacki. Co-clustering: A versatile way to perform clustering in high dimension. The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), Dec 2018, Pise, Italy. ⟨hal-01949116⟩
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Matthieu Marbac, Christophe Biernacki, Mohammed Sedki, Vincent Vandewalle. A targeted multi-partitions clustering. The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), Dec 2018, Pise, Italy. ⟨hal-01949111⟩
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Christophe Biernacki, Gilles Celeux, Julie Josse, Fabien Laporte. Dealing with missing data in model-based clustering through a MNAR model. CMStatistics 2018 – 11th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2018, Pise, Italy. ⟨hal-01949120⟩
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Margot Selosse, Julien Jacques, Christophe Biernacki. Analyzing large matrices of ordinal data. The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), Dec 2018, Pise, Italy. ⟨hal-01949095⟩
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Sophie Dabo-Niang. Functional linear spatial autoregressive modeling. MATRIX Conference on FDA, Dec 2018, Merlbourne, Australia. ⟨hal-04464558⟩
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Sophie Dabo-Niang. Cell bio-mechanical phenotype and their biological expressions for Cancer diagnosis. MATRIX Conference on FDA, Dec 2018, Melbourne, Australia. ⟨hal-04464560⟩
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Christophe Biernacki, Vincent Vandewalle, Matthieu Marbac. Gaussian-based visualization of Gaussian and non-Gaussian model-based clustering. 23rd International Conference on Computational Statistics, Aug 2018, Iasi, Romania. ⟨hal-01949127⟩
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Adrien Ehrhardt, Vincent Vandewalle, Christophe Biernacki, Philippe Heinrich. Supervised multivariate discretization and levels merging for logistic regression. 23rd International Conference on Computational Statistics, Aug 2018, Iasi, Romania. ⟨hal-01949128⟩
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Vincent Vandewalle, Matthieu Marbac. A tractable multi-partitions clustering. COMPSTAT 2018 – 23rd International Conference on Computational Statistics, Aug 2018, Iasi, Romania. ⟨hal-01956922⟩
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Sophie Dabo-Niang. Spatial nearest neighbor classification and prediction. Application to fisheries data in West African coast. First International Conference on Biomathematics, Jun 2018, Thies (Senegal), Senegal. ⟨hal-04464554⟩
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Serge Iovleff, Seydou Nourou Sylla. blockcluster, simerge and C++ with R. Mixture Models: Theory and Applications, Jun 2018, Paris, France. ⟨hal-01884822⟩
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Christophe Biernacki, Benjamin Auder, Gilles Celeux, Josselin Demont, Florent Langrognet, et al.. MASSICCC: A SaaS Platform for Clustering and Co-Clustering of Mixed Data. Workshop MixStatSeq: “Mixture models: Theory and applications”, Jun 2018, Paris, France. ⟨hal-01949175⟩
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Christophe Biernacki. Model selection theory and considerations in large scale scenarios. Research Summer School on Statistics for Data Science – S4D, Jun 2018, Caen, France. ⟨hal-01949168⟩
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Christophe Biernacki. Model-based clustering and co-clusteringin high-dimensional scenarios. Research Summer School on Statistics for Data Science – S4D, Jun 2018, Caen, France. ⟨hal-01949167⟩
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Anne-Lise Bedenel, Laetitia Jourdan, Christophe Biernacki. Probability estimation by an adapted genetic algorithm in web insurance. LION 12 – Learning and Intelligent Optimization Conference, Jun 2018, Kalamata, Greece. ⟨hal-01885117⟩
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Sophie Dabo-Niang. Binary Functional Linear Models in a Stratified Sampling setting. SLDS/Nonparametric Statistics, Jun 2018, New York (NY), United States. ⟨hal-04464557⟩
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Margot Selosse, Julien Jacques, Christophe Biernacki. Co-clustering de données textuelles et continues. SFdS 2018 – 50èmes Journées de Statistique, May 2018, Saclay, France. ⟨hal-01797493⟩
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C Biernacki. Going further in cluster analysis and classification: Bi-clustering and co-clustering. Summer School on Clustering, Data Analysis and Visualization of Complex Data, May 2018, Catania, Italy. ⟨hal-01810380⟩
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Christophe Biernacki. Introduction to cluster analysis and classification: Formalizing clustering. Summer School on Clustering, Data Analysis and Visualization of Complex Data, May 2018, Catania, Italy. ⟨hal-01810379⟩
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Christophe Biernacki. Introduction to cluster analysis and classification: Performing clustering. Summer School on Clustering, Data Analysis and Visualization of Complex Data, May 2018, Catania, Italy. ⟨hal-01810376⟩
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Christophe Biernacki. Introduction to cluster analysis and classification: Evaluating clustering. Summer School on Clustering, Data Analysis and Visualization of Complex Data, May 2018, Catania, Italy. ⟨hal-01810377⟩
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Anne-Lise Bedenel, Laetitia Jourdan, Christophe Biernacki. Estimation de probabilités par algorithme génétique. ROADEF2018, Feb 2018, Lorient, France. ⟨hal-01868195⟩
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Habilitation à diriger des recherches

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Alain Celisse. Contributions à la calibration d’algorithmes d’apprentissage : Validation-croisée et détection de ruptures. Statistics [math.ST]. Université de Lille, 2018. ⟨tel-02050179⟩
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Poster communications

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Asmita Poddar, Serge Iovleff, Florent Latimier. Estimation of Parsimonious Covariance Models for Gaussian Matrix Valued Random Variables for Multi-Dimensional Spectroscopic Data. WiML 2018 – 13th Women in Machine Learning workshop, Dec 2018, Montreal, Canada. 2018. ⟨hal-01954769⟩
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Margot Selosse, Julien Jacques, Christophe Biernacki. mixedClust: an R package for mixed data classiication, clustering and co-clustering. 25th Summer Session Working Group on Model-Based Clustering, Jul 2018, Ann Arbor, United States. ⟨hal-01949171⟩
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Mamadou Ndiaye, Mohamed-Salem Ahmed, Abdoulaye Sarré, Ahmed Taleb, Salaheddine El Ayoubi, et al.. Unsupervised functional classification applied on high resolution oceanographic data in Canaries Current Large Marine Ecosystem : toward fine scale analysis. Brehmer, Patrice. ICAWA : International Conference AWA, Apr 2018, Lanzarote, Spain. SRFC/CSRP; IRD, pp.148, 2019. ⟨hal-02780072⟩
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Reports

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Gildas Mazo, Yaroslav Averyanov. Constraining kernel estimators in semiparametric copula mixture models. [0] 2018, 23 p. ⟨hal-02788582⟩
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2017

Journal articles

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Sophie Dabo-Niang, Aboubacar Amiri. Density estimation over spatio-temporal data streams. Econometrics and Statistics , 2017, ⟨10.1016/j.ecosta.2017.08.005⟩. ⟨hal-01654081⟩
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Elise Hebbinckuys, Jean-Pierre Marissal, Cristian Preda, Valérie Leclercq. Assessing the burden of Clostridium difficile infections for hospitals. Journal of Hospital Infection, 2017, pp.1-7. ⟨10.1016/j.jhin.2017.08.023⟩. ⟨hal-01655460⟩
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Md Abul Hasnat, Julien Velcin, Stephane Bonnevay, Julien Jacques. Evolutionary clustering for categorical data using parametric links among multinomial mixture models. Econometrics and Statistics , 2017, 3, pp.141-159. ⟨10.1016/j.ecosta.2017.03.004⟩. ⟨hal-01204613v3⟩
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Mohamed-Salem Ahmed, Mohammed Kadi Attouch, Sophie Dabo-Niang. Binary functional linear models under choice-based sampling. Econometrics and Statistics , 2017, ⟨10.1016/j.ecosta.2017.07.001⟩. ⟨hal-01654079⟩
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Emmanuel Chazard, Grégoire Ficheur, Jean-Baptiste Beuscart, Cristian Preda. How to Compare the Length of Stay of Two Samples of Inpatients? A Simulation Study to Compare Type I and Type II Errors of 12 Statistical Tests. Value in Health, 2017, 20 (7), pp.992 – 998. ⟨10.1016/j.jval.2017.02.009⟩. ⟨hal-01655463⟩
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Julie Dubois, Vanessa Dubois, Hélène Dehondt, Parisa Mazrooei, Claire Mazuy, et al.. The logic of transcriptional regulator recruitment architecture at cis-regulatory modules controlling liver functions. Genome Research, 2017, Genome research, 27 (6), pp.985-996. ⟨10.1101/gr.217075.116⟩. ⟨hal-01647846⟩
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Parmeet Bhatia, Serge Iovleff, Gérard Govaert. blockcluster: An R Package for Model Based Co-Clustering. Journal of Statistical Software, 2017, 76 (9), pp.24. ⟨10.18637/jss.v076.i09⟩. ⟨hal-01093554⟩
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Pierre Alquier, Benjamin Guedj. An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization. Mathematical Methods of Statistics, 2017, 26 (1), pp.55 – 67. ⟨10.3103/S1066530717010045⟩. ⟨hal-01251878v4⟩
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Parmeet Bathia, Serge Iovleff, Gérard Govaert. An R Package and C++ library for Latent block models: Theory, usage and applications. Journal of Statistical Software, 2017, 76 (9), pp.1-24. ⟨hal-01285610⟩
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Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Model-based clustering of Gaussian copulas for mixed data. Communications in Statistics – Theory and Methods, 2017, 46 (23), pp.11635-11656. ⟨10.1080/03610926.2016.1277753⟩. ⟨hal-00987760v4⟩
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Conference papers

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Vincent Vandewalle, Thierry Mottet, Matthieu Marbac. Model-based variable clustering. CMStatistics/ERCIM 2017 – 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2017, London, United Kingdom. pp.1-19. ⟨hal-01691421⟩
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Pierre Dias, Isabelle Milhabet, Sophie Fantoni-Quinton, Sophie Dabo-Niang, Véronique Christophe. Importance des catégories socioprofessionnelles dans le rapport cognitif et émotionnel au cancer du sein et à sa prise en charge. SFP 2017 – 58ème congrès annuel de la société française de psychologie, Aug 2017, Nice, France. ⟨hal-01943498⟩
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Vincent Vandewalle. Simultaneous dimension reduction and multi-objective clustering
. IFCS 2017 – Conference of the International Federation of Classification Societies, Aug 2017, Tokyo, Japan. pp.1-29. ⟨hal-01662271⟩
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Faicel Chamroukhi, Christophe Biernacki. Model-Based Co-Clustering of Multivariate Functional Data. ISI 2017 – 61st World Statistics Congress, Jul 2017, Marrakech, Morocco. ⟨hal-01653782⟩
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Pierre Dias, Isabelle Milhabet, Sophie Fantoni-Quinton, Sophie Dabo-Niang, Véronique Christophe. Optimisme, qualité de vie et capacités cognitives dans le parcours professionnel des femmes atteintes du cancer du sein. 10ème Congrès International de Psychologie Sociale Appliquée, Jul 2017, Lille, France. ⟨hal-03738617⟩
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Serge Iovleff, Mathieu Fauvel, Stéphane Girard, Cristian Preda, Vincent Vandewalle. Mixture Models with Missing data Classication of Satellite Image Time Series: QUALIMADOS: Atelier Qualité des masses de données scientiques. Journées Science des Données MaDICS 2017, Jun 2017, Marseille, France. pp.1-60. ⟨hal-01649206⟩
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Christophe Biernacki, Alexandre Lourme. Introduction Units in model-based clustering Units in model-based co-clustering Conclusion Unifying Data Units and Models in (Co-)Clustering. 2017 – Classification Society Conference, Jun 2017, Santa Clara, United States. pp.1-38. ⟨hal-01653896⟩
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Vincent Vandewalle, Christophe Biernacki. Survival analysis with complex covariates: a model-based clustering preprocessing step. IEEE PHM 2017, Jun 2017, Dallas, United States. ⟨hal-01667588⟩
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Christophe Biernacki, Alexandre Lourme. Units in model-based clustering Units in model-based co-clustering . 24e rencontres de la Société Francophone de Classification, Jun 2017, Lyon, France. ⟨hal-01653899⟩
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Maxime Baelde, Christophe Biernacki, Raphaël Greff. Classification de signaux audio en temps-réel par un modèle de mélanges d’histogrammes. JDS 2017 – 49e Journées de Statistiques, May 2017, Avignon, France. ⟨hal-01592496⟩
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Adrien Ehrhardt, Christophe Biernacki, Vincent Vandewalle, Philippe Heinrich, Sébastien Beben. Réintégration des refusés en Credit Scoring. 49e Journées de Statistique, May 2017, Avignon France. ⟨hal-01653767⟩
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Maxime Brunin, Christophe Biernacki, Alain Celisse. Compromis précision – temps de calcul appliqué au problème de régression linéaire. 2017 – 49e Journées de Statistique de la SFdS, May 2017, Avignon, France. pp.1-6. ⟨hal-01653754⟩
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Vincent Vandewalle, Christophe Biernacki. Dealing with missing data through mixture models. ICB Seminars 2017 – 154th Seminar on ”Statistics and clinical practice”, May 2017, Varsovie, Poland. pp.1-3. ⟨hal-01667614⟩
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https://inria.hal.science/hal-01667614/file/vandewalle.pdf BibTex
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Christophe Biernacki, Alexandre Lourme, Maxime Brunin, Alain A. Celisse. About Two Disinherited Sides of Statistics: Data Units and Computational Saving. Statlearn 2017, Apr 2017, Lyon, France. pp.1-56. ⟨hal-01665905⟩
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Christophe Biernacki. About Two Disinherited Sides of Statistics: Data Units and Computational Saving. StatLearn 2017 – 8th Workshop and tutorials on challenging issues in statistical learning, Apr 2017, Lyon, France. ⟨hal-01653889⟩
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Maxime Baelde, Christophe Biernacki, Raphaël Greff. A mixture model-based real-time audio sources classification method. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP2017, Mar 2017, New Orleans, United States. ⟨hal-01420677v2⟩
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Book sections

ref_biblio
Christophe Biernacki. Mixture models. J-J. Droesbeke; G. Saporta; C. Thomas-Agnan. Choix de modèles et agrégation, Technip, 2017, 9782710811770. ⟨hal-01252671⟩
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Christophe Biernacki, Cathy Maugis. High-dimensional clustering. Choix de modèles et agrégation, Sous la direction de J-J. DROESBEKE, G. SAPORTA, C. THOMAS-AGNAN Edition: Technip., , 2017, 9782710811770. ⟨hal-01252673v2⟩
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Poster communications

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Adrien Ehrhardt, Christophe Biernacki, Vincent Vandewalle, Philippe Heinrich. Model-based multivariate discretization for logistic regression. Data Science Summer School, Aug 2017, Paris, France. 2017. ⟨hal-02075126⟩
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Vincent Vandewalle. Simultaneous dimension reduction and multi-objective clustering. Statlearn’17, Lyon: 4-7 april 2017, Apr 2017, Lyon, France. ⟨hal-03183333⟩
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https://inria.hal.science/hal-03183333/file/posterGlasgow.pdf BibTex
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Maxime Baelde, Christophe Biernacki, Raphaël Greff. Real-time Audio Classification based on Mixture Models. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2017), Mar 2017, La Nouvelle-Orléans, United States. . ⟨hal-01481934⟩
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Pierre Dias, Isabelle Milhabet, Sophie Fantoni-Quinton, Sophie Dabo-Niang, Véronique Christophe. Parcours professionnel et perception de la qualité de vie chez les femmes atteintes d’un cancer. 8ème Colloque du Cancéropôle PACA, Mar 2017, Marseille, France. ⟨hal-01943505⟩
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2016

Journal articles

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Azzouz Dermoune, Cristian Preda. Parametrizations, fixed and random effects. Journal of Multivariate Analysis, 2016, 154, pp.162 – 176. ⟨10.1016/j.jmva.2016.11.001⟩. ⟨hal-01424782⟩
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https://hal.science/hal-01424782/file/dermoune_preda.pdf BibTex
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Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Latent class model with conditional dependency per modes to cluster categorical data. Advances in Data Analysis and Classification, 2016, 10 (2), pp.183-207. ⟨10.1007/s11634-016-0250-1⟩. ⟨hal-00950112v2⟩
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Pierre Masselot, Sophie Dabo-Niang, Fateh Chebana, Taha B.M.J. Ouarda. Streamflow forecasting using functional regression. Journal of Hydrology, 2016, 538, pp.754-766. ⟨10.1016/j.jhydrol.2016.04.048⟩. ⟨hal-01425931⟩
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Sophie Dabo-Niang, Camille Ternynck, Anne-Françoise Yao. Nonparametric prediction in the multivariate spatial context. Journal of Nonparametric Statistics, 2016, 28 (2), pp.428-458. ⟨10.1080/10485252.2016.01.007⟩. ⟨hal-01425932⟩
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Julien Jacques, Cyril Ruckebusch. Model-based co-clustering for hyperspectral images. Journal of Spectral Imaging, 2016, 5, pp.a3-1 – a3-6. ⟨10.1255/jsi.2016.a3⟩. ⟨hal-01367941⟩
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Charles Herbaux, Elisabeth Bertrand, Guillemette Marot, Christophe Roumier, Nicolas Poret, et al.. BACH2 promotes indolent clinical presentation in Waldenström macroglobulinemia. Oncotarget, 2016. ⟨hal-01423307⟩
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Sophie Dabo-Niang, Serge Guillas, Camille Ternynck. More efficient kernel functional regression estimation with correlated errors. Journal of Multivariate Analysis, 2016, ⟨10.1016/j.jmva.2016.01.007⟩. ⟨hal-01425933⟩
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Christophe Biernacki, Julien Jacques. Model-Based Clustering of Multivariate Ordinal Data Relying on a Stochastic Binary Search Algorithm. Statistics and Computing, 2016, 26 (5), pp.929-943. ⟨10.1007/s11222-015-9585-2⟩. ⟨hal-01052447v2⟩
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Aboubacar Amiri, Sophie Dabo-Niang, Mohamed Yahaya. Non-parametric recursive density estimation for spatial data. Comptes Rendus. Mathématique, 2016, ⟨10.1016/j.crma.2015.10.010⟩. ⟨hal-01425935⟩
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Loïc Yengo, Julien Jacques, Christophe Biernacki, Mickael Canouil. Variable Clustering in High-Dimensional Linear Regression: The R Package clere. The R Journal, 2016, 8 (1), pp.92-106. ⟨10.32614/RJ-2016-006⟩. ⟨hal-00940929⟩
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Conference papers

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Hiba Alawieh, Nicolas Wicker, Christophe Biernacki. Projection under pairwise distance control. 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016, ERCIM 2016), Dec 2016, Séville, Spain. ⟨hal-01420681⟩
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Christophe Biernacki, Maxime Brunin, Alain Celisse. Computation time/accuracy trade-off and linear regression. 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016, ERCIM 2016), Dec 2016, Séville, Spain. ⟨hal-01420659⟩
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Christophe Biernacki. BigStat for Big Data: Big Data clustering through the BigStat SaaS platform. Journée scientifique « Big Data & Data science », Oct 2016, Tunis, Tunisia. ⟨hal-01420650⟩
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Christophe Biernacki, Alexandre Lourme. Unifying Data Units and Models in Statistics: Focus on (Co-)Clustering. Workshop on Model-based Clustering and Classification (MBC2), Sep 2016, Catania, Italy. ⟨hal-01420657⟩
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Julien Jacques, Christophe Biernacki. Model-Based Co-clustering for Ordinal Data. Working Group on Model-Based Clustering Summer Session, Jul 2016, Paris, France. ⟨hal-01420648⟩
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Christophe Biernacki, Gwenaelle Castellan, Stephane Chretien, Benjamin Guedj, Vincent Vandewalle. Pitfalls in Mixtures from the Clustering Angle. Working Group on Model-Based Clustering Summer Session, Jul 2016, Paris, France. ⟨hal-01419755⟩
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Julien Jacques, Cyril Ruckebusch. Co-clustering for hyperspectral images.. 6th International Conference in Spectral Imaging, Jul 2016, Chamonix, France. ⟨hal-01383918⟩
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Maxime Brunin, Christophe Biernacki, Alain Celisse. Compromis précision-temps de calcul appliqué au problèeme de détection de ruptures. 48èmes Journées de Statistique de la SFdS, May 2016, Montpellier, France. ⟨hal-01420669⟩
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Anne-Lise Bedenel, Christophe Biernacki, Laetitia Jourdan. Appariement de descripteurs évoluant en temps : Application à la comparaison d’assurance en ligne. 48èmes Journées des Statistiques Française, May 2016, Montpellier, France. ⟨hal-01381766⟩
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Julien Jacques, Christophe Biernacki. Model-based co-clustering for ordinal data. 48èmes Journées de Statistique organisée par la Société Française de Statistique, 2016, Montpellier, France. ⟨hal-01383927⟩
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Poster communications

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Vincent Vandewalle, Cristian Preda. Clustering categorical functional data Application to medical discharge letters Medical discharge letters. Working Group on Model-Based Clustering Summer Session: Paris, July 17-23, 2016, Jul 2016, Paris, France. 2016. ⟨hal-01424950⟩
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Quentin Grimonprez, Alain Celisse, Guillemette Marot. Variable selection by exploiting correlation. XXVIIIth International Biometric Conference, Jul 2016, Victoria, Canada. . ⟨hal-04031191⟩
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Documents associated with scientific events

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Vincent Vandewalle. Simultaneous dimension reduction and multi-objective clustering using probabilistic factorial discriminant analysis. CMStatistics 2016, Dec 2016, Sevilla, Spain. ⟨hal-01424965⟩
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Preprints, Working Papers, …

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Alain Celisse, Guillemette Marot, Morgane Pierre-Jean, Guillem Rigaill. New efficient algorithms for multiple change-point detection with kernels. 2016. ⟨hal-01413230v2⟩
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Alain Celisse, Benjamin Guedj. Stability revisited: new generalisation bounds for the Leave-one-Out. 2016. ⟨hal-01355365⟩
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Stephane Bouka, Sophie Dabo-Niang, Guy Martial Nkiet. On estimation in spatial functional linear regression model. 2016. ⟨hal-01516615⟩
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Sophie Dabo-Niang, Mohamed-Salem Ahmed. Generalized Functional Linear Models under Choice-Based Sampling. 2016. ⟨hal-01345918⟩
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https://inria.hal.science/hal-01345918/file/CML%20-%2010-01.pdf BibTex
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Le Li, Benjamin Guedj, Sébastien Loustau. Clustering en ligne : le point de vue PAC-bayésien. 2016. ⟨hal-01264934⟩
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2015

Journal articles

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Sophie Dabo-Niang, Camille Ternynck, Fateh Chebana, Mohamed Ali Ben Alaya, Taha Ouarda. Streamflow hydrograph classification using functional data analysis. Journal of Hydrometeorology, 2015, ⟨10.1175/JHM-D-14-0200.1⟩. ⟨hal-01206807⟩
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Stephanie Poulain, Christophe Roumier, Aurelie Venet-Caillault, Martin Figeac, Charles Herbaux, et al.. Genomic landscape of CXCR4 mutations in Waldenstrom’s Macroglobulinemia. Clinical Cancer Research, 2015, 21 (22), ⟨10.1158/1078-0432.CCR-15-0646⟩. ⟨hal-01230058⟩
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Rémi Lebret, Serge Iovleff, Florent Langrognet, Christophe Biernacki, Gilles Celeux, et al.. Rmixmod: The R Package of the Model-Based Unsupervised, Supervised and Semi-Supervised Classification Mixmod Library. Journal of Statistical Software, 2015, 67 (6), pp.241-270. ⟨10.18637/jss.v067.i06⟩. ⟨hal-00919486⟩
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Sophie Dabo-Niang, Guy-Martial Nkiet, Stéphane Bouka. Non-parametric level set estimation for spatial data. Advances and Applications in Statistics, 2015, 46 (2), pp.119 – 158. ⟨10.17654/ADASAug2015_119_158⟩. ⟨hal-01206787⟩
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Serge Iovleff. Probabilistic Auto-Associative Models and Semi-Linear PCA. Advances in Data Analysis and Classification, 2015, 9 (3), pp.20. ⟨10.1007/s11634-014-0185-3⟩. ⟨hal-00734070v2⟩
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Sophie Dabo-Niang, Anne-Françoise Yao, Camille Ternynck. A new spatial regression estimator in the multivariate context. Comptes rendus de l’Académie des sciences. Série I, Mathématique, 2015, 353 (7), pp.635 – 639. ⟨10.1016/j.crma.2015.04.004⟩. ⟨hal-01206781⟩
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Sophie Dabo-Niang, Ali Laksaci, Zoulikha Kaid. On spatial conditional quantile estimation for a functional regressor. AStA Advances in Statistical Analysis, 2015. ⟨hal-01206774⟩
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Charles Bouveyron, Etienne Côme, Julien Jacques. The discriminative functional mixture model for a comparative analysis of bike sharing systems
. Annals of Applied Statistics, 2015, 9 (4), pp.1726-1760. ⟨10.1214/15-AOAS861⟩. ⟨hal-01024186v3⟩
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Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Model-based clustering for conditionally correlated categorical data. Journal of Classification, 2015, 2 (32), pp.145-175. ⟨10.1007/s00357⟩. ⟨hal-00787757v3⟩
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Khalid Benabdeslem, Christophe Biernacki, Mustapha Lebbah. Les trois défis du Big-Data: Eléments de reflexion. Statistique et Société, 2015, 3 (1), pp.19-22. ⟨hal-01198435⟩
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Conference papers

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Cristian Preda. Regression with categorical functional data. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2015, Londres, United Kingdom. ⟨hal-01251289⟩
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Christophe Biernacki, Thibault Deregnaucourt, Vincent Kubicki. Model-based clustering with mixed/missing data using the new software MixtComp. CMStatistics 2015 (ERCIM 2015), Dec 2015, London, United Kingdom. ⟨hal-01249829⟩
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Vincent Vandewalle, Cristina Cozma, Cristian Preda. Clustering categorical functional data Application to medical discharge letters. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2015, Londres, France. ⟨hal-01251284⟩
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Vincent Vandewalle, C Biernacki. An efficient SEM algorithm for Gaussian Mixtures with missing data. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2015, Londres, United Kingdom. ⟨hal-01242588⟩
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Julien Jacques. The discriminative functional mixture model for a comparative analysis of bike sharing systems. CMStatistics 2015, 8th International Conference of the ERCIM working group on Computational and Methodological Statistics, Dec 2015, London, United Kingdom. ⟨hal-01241254⟩
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Md Abul Hasnat, Julien Velcin, Stéphane Bonnevay, Julien Jacques. Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study. Intelligent Data Analysis, Oct 2015, Saint Etienne, France. ⟨hal-01203561⟩
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C Biernacki. Clustering: evolution of methods to meet new challenges. Journée thématique Clustering, Orange Labs, Oct 2015, Issy Les Moulineaux, France. ⟨hal-01253394⟩
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Quentin Grimonprez, Alain Celisse, Guillemette Marot. Sélection de groupes de variables corrélées par classification ascendante hiérarchique et group-lasso. Sixièmes rencontres des jeunes statisticiens, SFdS, Aug 2015, Le Teich, France. ⟨hal-01238253⟩
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Maxime Brunin, Christophe Biernacki, Alain Celisse. Compromis précision-temps de calcul et détection de ruptures. 6ème Rencontres des Jeunes Statisticiens, Aug 2015, Le Teich, France. ⟨hal-01238276⟩
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Sophie Dabo-Niang. Spatial Risk estimation and Applications. African Women in Mathematics Association Conference, Jul 2015, Navaisha, Kenya. ⟨hal-01206866⟩
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Julien Jacques. Clustering multivariate ranking data. 60th World Statistics Congress – ISI2015, Jul 2015, Rio de Janeiro, Brazil. ⟨hal-01241256⟩
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Serge Iovleff. Rtkpp: Un package pour faire l’interface entre R et la bibliothèque STK++. Quatrièmes Rencontres R, Jun 2015, Grenoble, France. ⟨hal-01253792⟩
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Christophe Biernacki. MixtComp software: Model-based clustering/imputation with mixed data, missing data and uncertain data. MISSDATA 2015, Jun 2015, Rennes, France. ⟨hal-01253393⟩
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Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Model-based clustering of categorical data by relaxing conditional independence. Classification Society Meeting, Mc Master University, Jun 2015, Hamilton, Ontario, Canada. ⟨hal-01238334⟩
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Quentin Grimonprez, Alain Celisse, Guillemette Marot. Sélection de groupes de variables corrélées par classification ascendante hiérarchique et group-lasso. 47èmes Journées de Statistique, Jun 2015, Lille, France. ⟨hal-01238248⟩
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Florence Loingeville, Julien Jacques, Cristian Preda, Philippe Guarini, Olivier Molinier. Modèle Linéaire Généralisé Hiérarchique Gamma-Poisson à 3 facteurs aléatoires – Application au contrôle de qualité. 47èmes Journées de Statistique, Société Française de Statistique, Jun 2015, Lille, France. ⟨hal-01152840⟩
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Sophie Dabo-Niang. Spatial risk estimation and application to biomedical data. Tunisian Association of Statistics and Applications Conference, Mar 2015, Hammamet, Tunisia. ⟨hal-01206865⟩
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Charles Bouveyron, Julien Jacques. Un algorithme EM pour une version parcimonieuse de l’analyse en composantes principales probabiliste. EGC 2015 – 15ème conférence internationale sur l’extraction et la gestion des connaissances, Jan 2015, Luxembourg, Luxembourg. ⟨hal-01241262⟩
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Charles Bouveyron, Julien Jacques. funFEM: an R package for functional data clustering. Quatrième Rencontres R, 2015, Grenoble, France. ⟨hal-01383951⟩
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Documents associated with scientific events

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Chloé Friguet, Frédérique Letué, Vincent Vandewalle. Table ronde : “pourquoi et comment enseigner l’analyse de données massives (big data)”. 47èmes Journées de Statistique de la SFdS, Jun 2015, Lille, France. ⟨hal-01250812⟩
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Theses

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Clément Théry. Model-based covariable decorrelation in linear regression (CorReg). Application to missing data and to steel industry. Methodology [stat.ME]. Université Lille 1, 2015. English. ⟨NNT : ⟩. ⟨tel-01249789⟩
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Preprints, Working Papers, …

ref_biblio
Sophie Dabo-Niang, Aboubacar Amiri, Mohamed Yahaya. Non-parametric recursive density estimation for space-time data-stream. 2015. ⟨hal-01206833⟩
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Sophie Dabo-Niang, Aladji Bassene, Aliou Diop. Conditional tail index estimation for random fields: fixed design case. 2015. ⟨hal-01206824⟩
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Sophie Dabo-Niang, Aliou Diop, Aladji Bassene. A note on conditional tail index estimation for random fields.. 2015. ⟨hal-01206809⟩
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Sophie Dabo-Niang, Aladji Bassene, Aliou Diop. Kernel estimation of conditional tail index and quantile estimation for random fields
. 2015. ⟨hal-01206829⟩
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Sophie Dabo-Niang, Baba Thiam. Nonparametric estimation of a regression function for spatial data with errors.. 2015. ⟨hal-01206832⟩
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Sophie Dabo-Niang, Aboubacar Amiri, Mohamed Yahaya. Non-parametric recursive density estimation for spatial data. 2015. ⟨hal-01206814⟩
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Alain Celisse, Tristan Mary-Huard. Theoretical analysis of cross-validation for estimating the risk of the k-Nearest Neighbor classifier
. 2015. ⟨hal-01185092v2⟩
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Jérémie Kellner, Alain Celisse. A One-Sample Test for Normality with Kernel Methods. 2015. ⟨hal-01175237⟩
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Julie Hamon, Gaël Even, Romain Dassonneville, Julien Jacques, Clarisse Dhaenens. Use of a novel evolutionary algorithm for genomic selection. 2015. ⟨hal-01100660⟩
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2014

Journal articles

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Quentin Grimonprez, Alain Celisse, Samuel Blanck, Meyling Cheok, Martin Figeac, et al.. MPAgenomics : An R package for multi-patients analysis of genomic markers. BMC Bioinformatics, 2014, 15, pp.394. ⟨10.1186/s12859-014-0394-y⟩. ⟨hal-00933614v3⟩
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https://inria.hal.science/hal-00933614/file/s12859-014-0394-y.pdf BibTex
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Sophie Dabo-Niang, Zoulikha Kaid, Ali Laksaci. Asymptotic properties of the kernel estimate of spatial conditional mode when the regressor is functional. AStA Advances in Statistical Analysis, 2014, 99 (2), pp.131–160. ⟨10.1007/s10182-014-0233-5⟩. ⟨hal-01592786⟩
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Sophie Dabo-Niang, Leila Hamdad, Camille Ternynck, Anne-Françoise Yao. A kernel spatial density estimation allowing for the analysis of spatial clustering. Application to Monsoon Asia Drought Atlas data. Stochastic Environmental Research and Risk Assessment, 2014, 28, pp.2075-2099. ⟨10.1007/s00477-014-0903-6⟩. ⟨hal-01094743⟩
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Julien Jacques, Christophe Biernacki. Model-based clustering for multivariate partial ranking data. Journal of Statistical Planning and Inference, 2014, 149, pp.201-217. ⟨hal-00743384⟩
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Julien Jacques, Quentin Grimonprez, Christophe Biernacki. Rankcluster: An R package for clustering multivariate partial rankings. The R Journal, 2014, 6 (1), pp.10. ⟨10.32614/rj-2014-010⟩. ⟨hal-00840692v3⟩
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Emil Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki. Mixture of Gaussians for Distance Estimation with Missing Data. Neurocomputing, 2014, 131, pp.32-42. ⟨10.1016/j.neucom.2013.07.050⟩. ⟨hal-00921023v2⟩
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Julien Jacques, Cristian Preda. Model-based clustering for multivariate functional data. Computational Statistics and Data Analysis, 2014, 71, pp.92-106. ⟨10.1016/j.csda.2012.12.004⟩. ⟨hal-00713334v2⟩
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Alexandru Amarioarei, Cristian Preda. Approximations for two-dimensional discrete scan statistics in some block-factor type dependent models. Journal of Statistical Planning and Inference, 2014, 151-152, pp.14. ⟨10.1016/j.jspi.2014.05.002⟩. ⟨hal-01092993⟩
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Julien Jacques, Cristian Preda. Functional data clustering: a survey. Advances in Data Analysis and Classification, 2014, 8 (3), pp.24. ⟨10.1007/s11634-013-0158-y⟩. ⟨hal-00771030⟩
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Loïc Yengo, Julien Jacques, Christophe Biernacki. Variable clustering in high dimensional linear regression models. Journal de la Société Française de Statistique, 2014, Numéro spécial : analyse des données en grande dimension, 155 (2), pp.38-56. ⟨hal-00764927v2⟩
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Sophie Dabo-Niang, Sidi Ali Ould Abdi, Ahmedoune Ould Abdi, Aliou Diop. Consistency of a nonparametric conditional mode estimator for random fields. Statistical Methods and Applications, 2014, pp.21. ⟨10.1007/s10260-013-0239-2⟩. ⟨hal-00921178⟩
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Andrea Rau, Guillemette Marot, Florence Jaffrezic. Differential meta-analysis of RNA-seq data from multiple studies. BMC Bioinformatics, 2014, 15 (1), pp.91. ⟨10.1186/1471-2105-15-91⟩. ⟨hal-00978902⟩
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Nathalie Martin, Clara Salazar-Cardozo, Chantal Vercamer, Louise Ott, Guillemette Marot, et al.. Identification of a gene signature of a pre-transformation process by senescence evasion in normal human epidermal keratinocytes. Molecular Cancer, 2014, 13 (1), pp.151. ⟨10.1186/1476-4598-13-151⟩. ⟨hal-01011012⟩
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Conference papers

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Sophie Dabo-Niang. More efficient kernel functional spatial regression estimation with autocorrelated errors. ERCIM, Dec 2014, Pise, Italy. ⟨hal-01206861⟩
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Julien Jacques, Christophe Biernacki. Clustering multivariate ordinal data. ERCIM 2014 – The 7th International Conference of the ERCIM working group on Computational and Methodological Statistics, Dec 2014, Pisa, Italy. ⟨hal-01100630⟩
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Sophie Dabo-Niang, Serge Guillas, Camille Ternynck. Efficiency in functional nonparametric models withautoregressive errors. ERCIM, Dec 2014, Pise, Italy. ⟨hal-01094762⟩
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Sophie Dabo-Niang. Streamflow forecasting using functional regression. STAHY 14, Nov 2014, Abu-Dhabi, United Arab Emirates. ⟨hal-01206858⟩
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Sophie Dabo-Niang. Advances in spatial epidemiological modeling. Second conference of the International Society for NonParametric Statistics (ISNPS), Jul 2014, Cadiz, Spain. ⟨hal-01206857⟩
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Sophie Dabo-Niang. Statistical modeling of spatial functional data: application to biomedical data. ISNPS conférence, Jun 2014, Cadiz, Estonia. ⟨hal-01094757⟩
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Jérémie Kellner, Alain Celisse. High-dimensional test for normality. Journées des Statistiques, Jun 2014, Rennes, France. ⟨hal-01091513⟩
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Florence Loingeville, Julien Jacques, Cristian Preda, Philippe Guarini, Olivier Molinier. Analyse de variance à 2 facteurs imbriqués sur données de comptage – Application au contrôle de qualité. 46e Journées de Statistique, Jun 2014, Rennes, France. 6 p. ⟨hal-00986457⟩
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Clément Théry, Christophe Biernacki, Gaétan Loridant. CorReg : Préselection de variables en régression linéaire avec fortes corrélations. 46° journées de statistiques, SFDS, Jun 2014, Rennes, France. ⟨hal-01092964⟩
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Quentin Grimonprez, Alain Celisse, Guillemette Marot. Analyse multi-patients de données génomiques. 46e Journées de Statistique, SFDS, Jun 2014, Rennes, France. ⟨hal-01091476⟩
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Christophe Biernacki, Gwénaelle Castellan. A Data-Driven Bound on Covariance Matrices for Avoiding Degeneracy in Multivariate Gaussian Mixtures. 46° Journées de Statistique, Jun 2014, Rennes, France. ⟨hal-01099080⟩
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Loïc Yengo, Julien Jacques, Christophe Biernacki. Variable Clustering in High Dimensional Probit Regression Models.. 46èmes Journées de Statistique organisée par la Société Française de Statistique, 2014, Rennes, France. ⟨hal-01100633⟩
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Book sections

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Julien Jacques, Didier Fraix-Burnet. Linear Regression in High Dimension and/or for Correlated Inputs. D; Fraix-Burnet; D. Valls-Gabaud. Statistics for Astrophysics Methods and Applications of the Regression, 66, EDP Sciences, pp.149-165, 2014, EAS Publications Series, 978-2-7598-1729-0. ⟨10.1051/eas/1466011⟩. ⟨hal-01115109⟩
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Poster communications

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Quentin Grimonprez, Alain Celisse, Guillemette Marot. Analysis of genomic markers: Make it easy with the R package MPAgenomics. SMPGD 2014, Jan 2014, Paris, France. , 2014. ⟨hal-01091543⟩
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Reports

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Mohamed Attouch, Mohamed Salem Ahmed, Sophie Dabo-Niang, Aliou Diop. k-nearest neighbors method estimation of regression function for spatial dependent data. [Research Report] 2014. ⟨hal-00943647⟩
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Stéphane Bouka, Sophie Dabo-Niang, Ghislaine Gayraud, Guy-Martial Nkiet. Minimax testing in a spatial discrete regression scheme. [Research Report] 2014. ⟨hal-00943645⟩
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Sophie Dabo-Niang, Camille Ternynck, Anne-Françoise Yao. A new spatial regression estimator in the multivariate context. [Research Report] 2014. ⟨hal-00943646⟩
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Jérémie Kellner, Alain Celisse. New goodness-of-fit tes for normality in RKHS. [Research Report] Inria. 2014. ⟨hal-00943669⟩
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Theses

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Matthieu Marbac-Lourdelle. Model-based clustering for categorical and mixed data sets. Statistics [math.ST]. université lille 1, 2014. English. ⟨NNT : ⟩. ⟨tel-01076418⟩
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Alexandru Amarioarei. Approximations for Multidimensional Discrete Scan Statistics. Probability [math.PR]. Université de Lille 1, 2014. English. ⟨NNT : ⟩. ⟨tel-01105214⟩
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Preprints, Working Papers, …

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Clément Théry, Christophe Biernacki, Gaétan Loridant. Model-Based Variable Decorrelation in Linear Regression. 2014. ⟨hal-01099133⟩
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Sophie Dabo-Niang, Ali Laksaci, Zoulikha Kaid. On spatial conditional quantile estimation for a functional regressor. 2014. ⟨hal-01094745⟩
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Jérémie Kellner, Alain Celisse. New normality test in high dimension with kernel methods. 2014. ⟨hal-00977839⟩
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https://hal.science/hal-00977839/file/rkhsgauss-preprint.pdf BibTex
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Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Classification de données mixtes par un modèle de mélange de copules gaussiennes.. 2014. ⟨hal-00940613⟩
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2013

Journal articles

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Alexandre Lourme, Christophe Biernacki. Simultaneous Gaussian Model-Based Clustering for Samples of Multiple Origins. Computational Statistics, 2013, 28, pp.371-391. ⟨10.1007/s00180-012-0305-5⟩. ⟨hal-00921041⟩
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Christophe Biernacki, Alexandre Lourme. Gaussian Parsimonious Clustering Models Scale Invariant and Stable by Projection. Statistics and Computing, 2013, pp.21. ⟨hal-00688250⟩
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https://inria.hal.science/hal-00688250/file/RR_7932.pdf BibTex
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Alexandru Amarioarei, Cristian Preda. Approximation for the Distribution of Three-dimensional Discrete Scan Statistic. Methodology and Computing in Applied Probability, 2013, pp.14. ⟨10.1007/s11009-013-9382-3⟩. ⟨hal-01092992⟩
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https://inria.hal.science/hal-01092992/file/1303.3775.pdf BibTex
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Julien Jacques, Cristian Preda. Funclust: a curves clustering method using functional random variables density approximation. Neurocomputing, 2013, 112, pp.164-171. ⟨10.1016/j.neucom.2012.11.042⟩. ⟨hal-00628247v2⟩
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https://hal.science/hal-00628247/file/Paper-Funclust-V2-versionHAL.pdf BibTex
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Madison Giacofci, Sophie Lambert-Lacroix, Guillemette Marot, Franck Picard. Wavelet-based clustering for mixed-effects functional models in high dimension. Biometrics, 2013, 69 (1), pp.31-40. ⟨10.1111/j.1541-0420.2012.01828.x⟩. ⟨hal-00782458⟩
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Sophie Dabo-Niang, Anne-Françoise Yao. Spatial kernel density estimation for functional random variables. Metrika, 2013, 76, 1, pp.19-52. ⟨hal-00943638⟩
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Robert Walker, Mathieu Gissot, Ludovic Huot, Thilabalo Dilezitoko Alayi, David Hot, et al.. Toxoplasma transcription factor TgAP2XI-5 regulates the expression of genes involved in parasite virulence and host invasion.. Journal of Biological Chemistry, 2013, 288 (43), pp.31127-31138. ⟨10.1074/jbc.M113.486589⟩. ⟨hal-00921150⟩
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Conference papers

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Sophie Dabo-Niang. Exploring spatial non-parametric estimations.. Marrakesh International Conference on Probability and Statistics, Dec 2013, Marrakech, Morocco. ⟨hal-00943642⟩
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Julien Jacques. Model-based clustering for multivariate functional data. ERCIM 2013, 6th International Conference of the ERCIM working group on Computational and Methodological Statistics, Dec 2013, London, United Kingdom. ⟨hal-00943732⟩
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Julien Jacques. Clustering multivariate ordinal data. 20th Summer Working Group on Model-Based Clustering of the Department of Statistics of the University of Washington, Jul 2013, Bologna, Italy. ⟨hal-00943733⟩
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Julie Hamon, Clarisse Dhaenens, Gaël Even, Julien Jacques. Feature selection in high dimensional regression problems for genomic. Tenth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, Jun 2013, Nice, France. ⟨hal-00839705⟩
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https://inria.hal.science/hal-00839705/file/CIBB2013-Hamon.pdf BibTex
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Sophie Dabo-Niang. Spatial Data Analysis. 8th International conference of Sousse ISG, Sousse, May 2013, Sousse, Tunisie. ⟨hal-00943641⟩
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Julie Hamon, Clarisse Dhaenens, Gaël Even, Julien Jacques. Modèles mixtes en génétique animale : sélection de variables par optimisation combinatoire. 45ème Journées De Statistiques, May 2013, Toulouse, France. ⟨hal-00839707⟩
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https://inria.hal.science/hal-00839707/file/JDS2013-Hamon.pdf BibTex
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Quentin Grimonprez, Julien Jacques, Christophe Biernacki. Rankclust: An R package for clustering multivariate partial rankings. Deuxième Rencontres R, 2013, France. ⟨hal-00944005⟩
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Patents

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Morgane Pierre-Jean, Guillemette Marot, Guillem Rigaill, Alain Celisse. Détection de ruptures à partir de méthodes à noyaux. United Kingdom, Patent n° : 0000000. 2013. ⟨hal-00943423⟩
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Morgane Pierre-Jean, Guillemette Marot, Rigaill Guillem, Alain Celisse. Change-point detection with kernel methods : application to DNA copy number signals. France, Patent n° : 00000000000000. 2013. ⟨hal-00943413⟩
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Reports

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Camille Ternynck, Mohamed Ali Ben Alaya, Fateh Chebana, Sophie Dabo-Niang, Taha Ouarda. Flood hydrograph classification using functional data analysis. [Research Report] 2013. ⟨hal-00943644⟩
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Preprints, Working Papers, …

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Andrea Rau, Guillemette Marot, Florence Jaffrezic. Differential meta-analysis of RNA-seq data from multiple studies. 2013. ⟨hal-00834369⟩
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2012

Journal articles

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Damien Valour, Isabelle Hue, Séverine Degrelle, Sébastien Dejean, Guillemette Marot, et al.. Pre- and Post-Partum Mild Underfeeding Influences Gene Expression in the Reproductive Tract of Cyclic Dairy Cows.. Reproduction in Domestic Animals, 2012, 48 (3), pp.484-499. ⟨10.1111/rda.12113⟩. ⟨hal-00782492⟩
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Gérard Grégoire, François-Xavier Jollois, Jean-François Petiot, Abdellah Qannari, Serge Sabourin, et al.. Les logiciels et l’enseignement de la statistique dans les départements ” Statistique et Informatique Décisionnelle ” (STID) des IUT. Statistique et Enseignement, 2012, 2 (2), pp.5-24. ⟨hal-00913110⟩
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Marie-Agnès Dillies, Andrea Rau, Julie Aubert, Christelle Hennequet-Antier, Marine Jeanmougin, et al.. A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis. Briefings in Bioinformatics, 2012, 14 (6), pp.671-683. ⟨10.1093/bib/bbs046⟩. ⟨hal-00782486⟩
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Conference papers

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Julie Hamon, Clarisse Dhaenens, Gaël Even, Julien Jacques. Feature selection for high dimensional regression using local search and statistical criteria. International Conference on Metaheuristics and Nature Inspired Computing, Oct 2012, Port El-Kantaoui, Tunisia. ⟨hal-00749708v2⟩
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https://inria.hal.science/hal-00749708/file/julieHamon_meta2012.pdf BibTex
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Parmeet Bathia, Serge Iovleff, Gérard Govaert. Software for co-clustering of binary data. 44e Journées de Statistique, SFdS, May 2012, Bruxelles, Belgium. pp.1-6. ⟨hal-00933384⟩
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Julie Hamon, Clarisse Dhaenens, Julien Jacques, Gaël Even. Coopération entre Optimisation Combinatoire et Statistiques pour la Sélection animale. 13e congrès annuel de la Société française de Recherche Opérationnelle et d’Aide à la Décision, Apr 2012, Angers, France. ⟨hal-00749727v2⟩
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Julien Jacques, Cristian Preda. Functional data clustering using density approximation. 44èmes Journées de Statistique organisée par la Société Française de Statistique, 2012, Belgium. ⟨hal-00944008⟩
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Julien Jacques, Cristian Preda. Curves clustering with approximation of the density of functional random variables. ESANN 2012, 2012, Belgium. pp.459–464. ⟨hal-00944001⟩
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Julien Jacques, Cristian Preda. Clustering multivariate functional data. COMPSTAT 2012, 2012, Cyprus. pp.353-366. ⟨hal-00943745⟩
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https://hal.science/hal-00943745/file/Paper-Multi-FunClust-v2.pdf BibTex
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Julien Jacques. Generative models for classification and clustering of spectroscopic data. Chimiométrie 2012, 2012, France. ⟨hal-00944002⟩
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Book sections

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Farid Beninel, Christophe Biernacki, Charles Bouveyron, Julien Jacques, Alexandre Lourme. PARAMETRIC LINK MODELS FOR KNOWLEDGE TRANSFER IN STATISTICAL LEARNING. Dragan Ilic. Knowledge Transfer: Practices, Types and Challenges, Nova Publishers, 2012. ⟨hal-00942660⟩
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Habilitation à diriger des recherches

ref_biblio
Julien Jacques. Contribution à l’apprentissage statistique à base de modèles génératifs pour données complexes.. Statistiques [math.ST]. Université des Sciences et Technologie de Lille – Lille I, 2012. ⟨tel-00761184⟩
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2011

Journal articles

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Charles Bouveyron, Julien Jacques. Model-based Clustering of Time Series in Group-specific Functional Subspaces. Advances in Data Analysis and Classification, 2011, 5 (4), pp.281-300. ⟨10.1007/s11634-011-0095-6⟩. ⟨hal-00559561v2⟩
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Conference papers

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Julie Hamon, Clarisse Dhaenens, Julien Jacques, Gaël Even. Combining combinatorial optimization and statistics to mine high-throughput genotyping data. JOBIM – Journées Ouvertes Biologie Informatique Mathématiques, Jun 2011, Paris, France. ⟨hal-00639533⟩
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https://inria.hal.science/hal-00639533/file/Combining_combinatorial_optimization_and_statistics_to_mine_high-throughput_genotyping_data.pdf BibTex
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Charles Bouveyron, Julien Jacques. Model-based Clustering of Time Series in Group-specific Functional Subspaces. 12th annual conference of the International Federation of Classification Societies, 2011, Frankfurt, Germany. ⟨hal-00707054⟩
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Poster communications

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Christophe Biernacki, Vincent Vandewalle. Label switching in mixtures. Working Group on Model-Based Clustering Summer Session: Glasgow, July 17-23, 2011, Jul 2011, Glasgow, United Kingdom, France. ⟨hal-03183299⟩
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2010

Conference papers

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Charles Bouveyron, Julien Jacques. Adaptive mixtures of regressions : improving predictive inference when population has changed. 4th conference on Computational Methods for Modelling and Learning in Social and Human Sciences (MASHS’10), 2010, Lille, France. ⟨hal-00707048⟩
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2009

Conference papers

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Cristian Preda, Gilbert Saporta, Ben Hadj Mbarek. PLS Regression with Functional Predictor and Missing Data. PLS’09,6th Int. Conf. on Partial Least Squares and Related Methods, Sep 2009, Pékin, China. pp.17-22. ⟨hal-01125705⟩
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https://hal.science/hal-01125705/file/RC1813.pdf BibTex
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Charles Bouveyron, Julien Jacques. Modèles adaptatifs pour les mélanges de régressions. 41èmes Journées de Statistique de la Société Française de Statistique, 2009, Bordeaux, France. ⟨hal-00707061⟩
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Book sections

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Fabien Pamelard, Gaël Even, Costin Apostol, Cristian Preda, Clarisse Dhaenens, et al.. PASE: a web-based platform for peptide / protein microarray experiments. M. Cretich. Peptide Microarrays, 570, Humana Press, pp.413-430, 2009, Methods in Molecular Biology. ⟨hal-00835040⟩
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2008

Journal articles

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Isabelle Thomas, Pierre Frankhauser, Christophe Biernacki. The morphology of built-up landscapes in wallonia (Belgium) : a classification using fractal indices. Landscape and Urban Planning, 2008, 84, pp.99-115. ⟨10.1016/j.landurbplan.2007.07.002⟩. ⟨hal-00731650⟩
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2007

Book sections

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Julien Jacques, Christophe Biernacki. Classement de données binaires lorsque les populations d’apprentissage et de test sont différentes. Data Mining et apprentissage statistique : application en assurance, banque et marketing, Cépadues, pp.109-130, 2007, Revue des Nouvelles Technologies de l’Information, 9782854287943. ⟨hal-00851019⟩
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Cristian Preda, Gilbert Saporta. PCR and PLS for Clusterwise Regression on Functional Data. Brito P., Bertrand P., Cucumel G., De Carvalho F. (Eds.). Selected Contributions in Data Analysis and Classification, Springer, pp.589-598, 2007, 978-3-540-73558-8. ⟨hal-01125361⟩
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2006

Documents associated with scientific events

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Stéphane Girard, Serge Iovleff. Auto-Associative models and generalized Principal Component Analysis. Workshop on principal manifolds for data cartography and dimension reduction, Aug 2006, Leicester, United Kingdom. ⟨hal-00985337⟩
Accès au texte intégral et bibtex
https://inria.hal.science/hal-00985337/file/slides_2006.pdf BibTex

2005

Conference papers

ref_biblio
Cristian Preda, Gilbert Saporta, Caroline Leveder. PLS classification of functional data. PLS’05 4th Int. Symp. on PLS and related methods, Aug 2005, Barcelone, Spain. ⟨hal-01125057⟩
Accès au texte intégral et bibtex
https://hal.science/hal-01125057/file/RC843.pdf BibTex
ref_biblio
Cristian Preda, Gilbert Saporta. PLS discriminant analysis for functional data. ASMDA’05 XIth Int. Symp. on Applied Stochastic Models and Data Analysis, May 2005, Brest, France. pp.653-661. ⟨hal-01125040⟩
Accès au texte intégral et bibtex
https://hal.science/hal-01125040/file/RC824.pdf BibTex
ref_biblio
Isabelle Thomas, Christophe Biernacki, Pierre Frankhauser. The morphology built-up landscapes : a classification of fractal indices. International Workshop “the role of open space and green amenities in the residential move from cities”, colloque organisé dans le cadre de l’ACI Espace et Territoire, 2005, Dijon, France. ⟨hal-00880970⟩
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BibTex

2004

Book sections

ref_biblio
Cristian Preda, Gilbert Saporta. PLS Approach for clusterwise linear regression on functional data. D.Banks. Classification, Clustering, and Data Mining Applications, Springer; Springer Berlin Heidelberg, pp.167-176, 2004, Classification, Clustering and Data Mining Applications, ⟨10.1007/978-3-642-17103-1_17⟩. ⟨hal-01124925⟩
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BibTex

2002

Journal articles

ref_biblio
Cristian Preda, Gilbert Saporta. Régression PLS sur un processus stochastique. Revue de Statistique Appliquée, 2002, 50 (2), pp.27-45. ⟨hal-02507754⟩
Accès au texte intégral et bibtex
https://cnam.hal.science/hal-02507754/file/RSA_2002__50_2_27_0.pdf BibTex

2001

Conference papers

ref_biblio
Cristian Preda, Gilbert Saporta. Régression PLS sur un processus stochastique. 33 èmes Journées de Statistique, May 2001, Nantes, France. ⟨hal-01124653⟩
Accès au texte intégral et bibtex
https://hal.science/hal-01124653/file/preda-saporta-nantes2001.pdf BibTex

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511 documents

Journal articles157 documents

  • Yoba Kande, Ndague Diogoul, Patrice Brehmer, Sophie Dabo-Niang, Papa Ngom, et al.. Demonstrating the relevance of spatial-functional statistical analysis in marine ecological studies : the case of environmental variations in micronektonic layers. Ecological Informatics, 2024, 81, pp.102547. ⟨10.1016/j.ecoinf.2024.102547⟩. ⟨hal-04507879⟩
  • Mélanie Lambert, Samy Jambon, Mohamed A. Bouhlel, Sabine Depauw, Julie Vrevin, et al.. Induction of AML cell differentiation using HOXA9/DNA binding inhibitors as a potential therapeutic option for HOXA9-dependent AML.. HemaSphere, 2024, HemaSphere, 8 (5), pp.e77. ⟨10.1002/hem3.77⟩. ⟨hal-04603215⟩
  • Violeta Raverdy, Federica Tavaglione, Estelle Chatelain, Robert Caiazzo, Chiara Saponaro, et al.. Performance of non-invasive tests for liver fibrosis resolution after bariatric surgery. Metabolism, 2024, 153, pp.155790. ⟨10.1016/j.metabol.2024.155790⟩. ⟨hal-04525423⟩
  • Sophie Dabo-Niang, Maria J. Esteban, Colette Guillopé, Marie-Françoise Roy. Aspects of the gender gap in Mathematics. European Mathematical Society Magazine, 2024, 131, pp.22-31. ⟨10.4171/mag/178⟩. ⟨hal-04278806⟩
  • Antoine Picard-Weibel, Gabriel Capson-Tojo, Benjamin Guedj, Roman Moscoviz. Bayesian uncertainty quantification for anaerobic digestion models. Bioresource Technology, 2024, 394, pp.130147. ⟨10.1016/j.biortech.2023.130147⟩. ⟨hal-04461829⟩
  • Paul Aimé Latsouck Faye, Elodie Brunel, Thomas Claverie, Solym Mawaki Manou-Abi, Sophie Dabo-Niang. Automatic geomorphological mapping using ground truth data with coverage sampling and random forest algorithms. Earth Science Informatics, In press, ⟨10.1007/s12145-024-01347-x⟩. ⟨hal-04624799⟩
  • Mohamed-Salem Ahmed, Mamadou N’diaye, Mohammed Kadi Attouch, Sophie Dabo-Niang. k-nearest neighbors prediction and classification for spatial data. Journal of Spatial Econometrics, 2023, 4 (1), pp.12. ⟨10.1007/s43071-023-00041-2⟩. ⟨hal-04392790⟩
  • Violetta Raverdy, Estelle Chatelain, Guillaume Lasailly, Robert Caiazzo, Jimmy Vandel, et al.. Combining diabetes, sex, and menopause as meaningful clinical features associated with NASH and liver fibrosis in individuals with class II and III obesity: A retrospective cohort study.. Obesity, 2023, Obesity, 31 (12), pp.3066-3076. ⟨10.1002/oby.23904⟩. ⟨hal-04402748⟩
  • Ringo Thomas Tchouya, Stefano Nasini, Sophie Dabo-Niang. An estimation approach for the influential–imitator diffusion. Computers and Operations Research, 2023, 159, pp.106315. ⟨10.1016/j.cor.2023.106315⟩. ⟨hal-04392806⟩
  • Issam-Ali Moindjié, Sophie Dabo-Niang, Cristian Preda. Classification of multivariate functional data on different domains with Partial Least Squares approaches. Statistics and Computing, 2023, pp.5. ⟨10.1007/s11222-023-10324-1⟩. ⟨hal-03908634v3⟩
  • Ning Sun, Zoran Bursac, Ian Dryden, Roberto Lucchini, Sophie Dabo-Niang, et al.. Bayesian spatiotemporal modelling for disease mapping: an application to preeclampsia and gestational diabetes in Florida, United States. Environmental Science and Pollution Research, 2023, 30 (50), pp.109283-109298. ⟨10.1007/s11356-023-29953-0⟩. ⟨hal-04392782⟩
  • Ernesto Araya, Eglantine Karlé, Hemant Tyagi. Dynamic Ranking and Translation Synchronization. Information and Inference, 2023, 12 (3), pp.2224-2266. ⟨10.1093/imaiai/iaad029⟩. ⟨hal-03876870⟩
  • Guillaume Braun, Hemant Tyagi. Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power Method. Information and Inference, 2023, 12 (3), pp.1830-1866. ⟨10.1093/imaiai/iaad006⟩. ⟨hal-03876871⟩
  • Eglantine Karlé, Hemant Tyagi. Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method. Journal of Machine Learning Research, 2023, 24 (269), pp.1--57. ⟨hal-03519271⟩
  • Esther Martin de Fourchambault, Nathalie Callens, Jean-Michel Saliou, Marie Fourcot, Oceane Delos, et al.. Hepatitis C virus alters the morphology and function of peroxisomes. Frontiers in Microbiology, 2023, 14, pp.1254728. ⟨10.3389/fmicb.2023.1254728⟩. ⟨hal-04245832⟩
  • Christophe Biernacki, Julien Jacques, C. Keribin. A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges. Journal of Classification, 2023, ⟨10.1007/s00357-023-09441-3⟩. ⟨hal-03769727⟩
  • Julie Dubois‐chevalier, Céline Gheeraert, Alexandre Berthier, Clémence Boulet, Vanessa Dubois, et al.. An extended transcription factor regulatory network controls hepatocyte identity. EMBO Reports, 2023, 24 (9), ⟨10.15252/embr.202357020⟩. ⟨hal-04169341⟩
  • Hélène Sarter, Guillaume Savoye, Guillemette Marot, Delphine Ley, Dominique Turck, et al.. A Novel 8-Predictors Signature to Predict Complicated Disease Course in Pediatric-onset Crohn’s Disease: A Population-based Study. Inflammatory Bowel Diseases, 2023, ⟨10.1093/ibd/izad090⟩. ⟨hal-04124611⟩
  • Antonin Schrab, Ilmun Kim, Mélisande Albert, Béatrice Laurent, Benjamin Guedj, et al.. MMD Aggregated Two-Sample Test. Journal of Machine Learning Research, 2023, 24 (194), pp.1-81. ⟨hal-03408976v3⟩
  • Camille Frévent, Mohamed-Salem Ahmed, Sophie Dabo-Niang, Michaël Genin. Investigating spatial scan statistics for multivariate functional data. Journal of the Royal Statistical Society: Series C Applied Statistics, 2023, 72 (2), pp.450-475. ⟨10.1093/jrsssc/qlad017⟩. ⟨hal-03527471⟩
  • Maxime Haddouche, Benjamin Guedj. PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales. Transactions on Machine Learning Research Journal, 2023. ⟨hal-03815101v3⟩
  • Quentin Grimonprez, Samuel Blanck, Alain Celisse, Guillemette Marot. MLGL: An R package implementing correlated variable selection by hierarchical clustering and group-Lasso. Journal of Statistical Software, 2023, 106 (3), ⟨10.18637/jss.v106.i03⟩. ⟨hal-01857242v2⟩
  • Wilfried Heyse, Vincent Vandewalle, Guillemette Marot, Philippe Amouyel, Christophe Bauters, et al.. Identification of patient subtypes based on protein expression for prediction of heart failure after myocardial infarction. iScience, 2023, 26 (3), pp.106171. ⟨10.1016/j.isci.2023.106171⟩. ⟨inserm-04191363⟩
  • Sébastien Sanges, Lisa Rice, Ly Tu, Eleanor Valenzi, Jean-Luc Cracowski, et al.. Biomarkers of haemodynamic severity of systemic sclerosis-associated pulmonary arterial hypertension by serum proteome analysis. Annals of the Rheumatic Diseases, 2023, 82 (3), pp.ard-2022-223237. ⟨10.1136/ard-2022-223237⟩. ⟨hal-03927525⟩
  • Stéphane Bouka, Sophie Dabo-Niang, Guy Martial Nkiet. On estimation and prediction in spatial functional linear regression model. Lithuanian Mathematical Journal, 2023, 63 (1), pp.13-30. ⟨10.1007/s10986-023-09586-z⟩. ⟨hal-04392795⟩
  • Tzung Hsuen Khoo, Dharini Pathmanathan, Sophie Dabo-Niang. Spatial Autocorrelation of Global Stock Exchanges Using Functional Areal Spatial Principal Component Analysis. Mathematics , 2023, 11 (3), pp.674. ⟨10.3390/math11030674⟩. ⟨hal-04392798⟩
  • Sophie Dabo-Niang, Emad Darwich, Leila Hamdad, Baba Thiam. Spatial Relative Risk of Upper Aerodigestive Tract Cancers Incidence in French Northern Region. SN Computer Science, 2023, 4 (1), pp.30. ⟨10.1007/s42979-022-01426-0⟩. ⟨hal-03861906⟩
  • S.‐h. Arnaud Kanga, Ouagnina Hili, Sophie Dabo-Niang, Assi N'Guessan. Asymptotic properties of nonparametric quantile estimation with spatial dependency. Statistica Neerlandica, 2022, ⟨10.1111/stan.12284⟩. ⟨hal-03861898⟩
  • Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki. Interpretable Domain Adaptation Using Unsupervised Feature Selection on Pre-trained Source Models. Neurocomputing, 2022, 511, pp.319-336. ⟨hal-03325509v2⟩
  • Christelle Judith Agonkoui, Freedath Djibril Moussa, Sophie-Dabo Niang. Multivariate functional principal component analysis for endogenously stratified data. Afrika Statistika, 2022, 17 (4), pp.3321-337. ⟨10.16929/as/2022.3321.308⟩. ⟨hal-04392805⟩
  • Michael P B Gallaugher, Christophe Biernacki, Paul D Mcnicholas. Parameter-Wise Co-Clustering for High-Dimensional Data. Computational Statistics, 2022, ⟨10.1007/s00180-022-01289-2⟩. ⟨hal-01862824v4⟩
  • Mamadou Ndiaye, Sophie Dabo-Niang, Papa Ngom. Nonparametric Prediction for Spatial Dependent Functional Data Under Fixed Sampling Design. Revista colombiana de Estadistica, 2022, 45 (2), pp.391-428. ⟨10.15446/rce.v45n2.98957⟩. ⟨hal-04500323⟩
  • Aurelien Chepy, Solange Vivier, Fabrice Bray, Camille Ternynck, Jean-Pascal Meneboo, et al.. Effects of Immunoglobulins G From Systemic Sclerosis Patients in Normal Dermal Fibroblasts: A Multi-Omics Study. Frontiers in Immunology, 2022, Frontiers in Immunology, 13, pp.904631. ⟨10.3389/fimmu.2022.904631⟩. ⟨hal-03898588⟩
  • Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey. MAGMA: Inference and Prediction using Multi-Task Gaussian Processes with Common Mean. Machine Learning, 2022, ⟨10.1007/s10994-022-06172-1⟩. ⟨hal-02904446v2⟩
  • Adolphe Gbogbo, Benoît Kouakou, Sophie Dabo-Niang, Jérémie Zoueu. Predictive model for airborne insect abundance intercepted by a continuous wave Scheimpflug lidar in relation to meteorological parameters. Ecological Informatics, 2022, 68, pp.101528. ⟨10.1016/j.ecoinf.2021.101528⟩. ⟨hal-03527459⟩
  • Matthieu Marbac, Mohammed Sedki, Christophe Biernacki, Vincent Vandewalle. Simultaneous semi-parametric estimation of clustering and regression. Journal of Computational and Graphical Statistics, 2022, 31 (2), pp.477-485. ⟨10.1080/10618600.2021.2000872⟩. ⟨hal-03090573v2⟩
  • Aurore Cauquis, Mario Ricchiuto, Philippe Heinrich. Lax–Wendroff Schemes with Polynomial Extrapolation and Simplified Lax–Wendroff Schemes for Dispersive Waves: A Comparative Study. Water Waves, 2022, ⟨10.1007/s42286-022-00060-w⟩. ⟨hal-03723732⟩
  • Florent Dewez, Benjamin Guedj, Arthur Talpaert, Vincent Vandewalle. An end-to-end data-driven optimisation framework for constrained trajectories. Data-Centric Engineering, 2022, 3, pp.e6. ⟨10.1017/dce.2022.6⟩. ⟨hal-03024720⟩
  • Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey. Cluster-Specific Predictions with Multi-Task Gaussian Processes. Journal of Machine Learning Research, In press. ⟨hal-03009276v3⟩
  • Mihai Cucuringu, Hemant Tyagi. An extension of the angular synchronization problem to the heterogeneous setting. Foundations of Data Science, In press, ⟨10.3934/fods.2021036⟩. ⟨hal-03101682⟩
  • Nathalie Garnier, Kato Pollet, Marie Fourcot, Morgan Caplan, Guillemette Marot, et al.. [Letter to editor] Altered microRNA expression in severe COVID‐19: Potential prognostic and pathophysiological role. Clinical and Translational Medicine, 2022, 12 (6), pp.e899. ⟨10.1002/ctm2.899⟩. ⟨hal-03700328⟩
  • Hemant Tyagi. Error analysis for denoising smooth modulo signals on a graph. Applied and Computational Harmonic Analysis, 2021, 57, pp.151-184. ⟨10.1016/j.acha.2021.11.005⟩. ⟨hal-03101720v2⟩
  • Cristian Preda, Quentin Grimonprez, Vincent Vandewalle. Categorical Functional Data Analysis. The cfda R Package. Mathematics , 2021, 9 (23), pp.31. ⟨10.3390/math9233074⟩. ⟨hal-03515152⟩
  • Mihai Cucuringu, Apoorv Vikram Singh, Deborah Sulem, Hemant Tyagi. Regularized spectral methods for clustering signed networks. Journal of Machine Learning Research, 2021, 22 (264), pp.1-79. ⟨10.48550/arXiv.2011.01737⟩. ⟨hal-03101710⟩
  • Michaël Fanuel, Hemant Tyagi. Denoising modulo samples: k-NN regression and tightness of SDP relaxation. Information and Inference, 2021, ⟨10.1093/imaiai/iaab022⟩. ⟨hal-03101740v2⟩
  • Serge-Hippolyte Arnaud Kanga, Ouagnina Hili, Sophie Dabo-Niang. On Nonparametric Conditional Quantile Estimation for Non-stationary Random. Afrika Statistika, 2021, 16 (4), pp.3009-3039. ⟨10.16929/as/2021.3009.193⟩. ⟨hal-03527760⟩
  • Adrien Ehrhardt, Christophe Biernacki, Vincent Vandewalle, Philippe Heinrich, Sébastien Beben. Reject Inference Methods in Credit Scoring. Journal of Applied Statistics, 2021, 48 (13-15), pp.2734-2754. ⟨10.1080/02664763.2021.1929090⟩. ⟨hal-03087279v2⟩
  • Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi. Ranking and synchronization from pairwise measurements via SVD. Journal of Machine Learning Research, 2021, 22 (19), pp.1-63. ⟨10.48550/arXiv.1906.02746⟩. ⟨hal-02340372⟩
  • Margot Selosse, Julien Jacques, Christophe Biernacki. ordinalClust: An R Package to Analyze Ordinal Data. The R Journal, 2021, 12 (2), ⟨10.32614/RJ-2021-011⟩. ⟨hal-01678800v4⟩
  • Antoine Vendeville, Benjamin Guedj, Shi Zhou. Forecasting elections results via the voter model with stubborn nodes. Applied Network Science, 2021, 6 (1), pp.1. ⟨10.1007/s41109-020-00342-7⟩. ⟨hal-02946434v2⟩
  • Asma S. Khelifa, Cecilia Guillen Sanchez, Kevin M. Lesage, Ludovic Huot, Thomas Mouveaux, et al.. TgAP2IX-5 is a key transcriptional regulator of the asexual cell cycle division in Toxoplasma gondii. Nature Communications, 2021, 12, pp.116. ⟨10.1038/s41467-020-20216-x⟩. ⟨hal-03107529v2⟩
  • Benjamin Guedj, Le Li. Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly. Entropy, 2021, ⟨10.3390/e23111534⟩. ⟨hal-01796011v2⟩
  • Benjamin Guedj, Louis Pujol. Still no free lunches: the price to pay for tighter PAC-Bayes bounds. Entropy, 2021, ⟨10.3390/e23111529⟩. ⟨hal-02401286⟩
  • Felix Biggs, Benjamin Guedj. Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks. Entropy, 2021, ⟨10.3390/e23101280⟩. ⟨hal-02879216⟩
  • Alain Celisse, Martin Wahl. Analyzing the discrepancy principle for kernelized spectral filter learning algorithms. Journal of Machine Learning Research, 2021, ⟨10.48550/arXiv.2004.08436⟩. ⟨hal-02548917v2⟩
  • Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor. PAC-Bayes unleashed: generalisation bounds with unbounded losses. Entropy, 2021, ⟨10.3390/e23101330⟩. ⟨hal-02872173⟩
  • Florent Dewez. Stability of propagation features under time-asymptotic approximations for a class of dispersive equations. Journal of Mathematical Analysis and Applications, 2020, 491 (1), pp.124292. ⟨10.1016/j.jmaa.2020.124292⟩. ⟨hal-03490225⟩
  • Florent Dewez, Benjamin Guedj, Vincent Vandewalle. From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning. Data-Centric Engineering, 2020, ⟨10.1017/dce.2020.12⟩. ⟨hal-02570875⟩
  • Mékapeu Solange Doumun, Sophie Dabo-Niang, Jérémie Zoueu. Detection and segmentation of erythrocytes in multispectral label-free blood smear images for automatic cell counting. Journal of Spectral Imaging, 2020, 9 (Article ID a10), ⟨10.1255/jsi.2020.a10⟩. ⟨hal-03133812⟩
  • Soumia Boumeddane, Leila Hamdad, Hamid Haddadou, Sophie Dabo-Niang. A kernel discriminant analysis for spatially dependent data. Distributed and Parallel Databases, 2020, 39 (3), pp.583-606. ⟨10.1007/s10619-020-07309-8⟩. ⟨hal-03133813⟩
  • Vincent Vandewalle, Alexandre Caron, Coralie Delettrez, Renaud Périchon, Sylvia Pelayo, et al.. Estimating the number of usability problems affecting medical devices: modelling the discovery matrix. BMC Medical Research Methodology, 2020, 20 (1), ⟨10.1186/s12874-020-01091-y⟩. ⟨hal-03117742⟩
  • Christophe Biernacki, Matthieu Marbac, Vincent Vandewalle. Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering. Journal of Classification, 2020, ⟨10.1007/s00357-020-09369-y⟩. ⟨hal-01949155v3⟩
  • Akim Adekpedjou, Sophie Dabo-Niang. Semiparametric estimation with spatially correlated recurrent events. Scandinavian Journal of Statistics, 2020, ⟨10.1111/sjos.12480⟩. ⟨hal-03133810⟩
  • Damya Souami, Jacky Cresson, Christophe Biernacki, Frédéric Pierret. On the local and global properties of the gravitational spheres of influence. Monthly Notices of the Royal Astronomical Society, 2020, 496 (4), pp.4287-429. ⟨10.1093/mnras/staa1520⟩. ⟨hal-02617073⟩
  • Vincent Vandewalle. Multi-Partitions Subspace Clustering. Mathematics , 2020, 8 (4), pp.597. ⟨10.3390/math8040597⟩. ⟨hal-03117603⟩
  • Cristian Preda, Alexandru Amarioarei. One Dimensional Discrete Scan Statistics for Dependent Models and Some Related Problems. Mathematics , 2020, 8 (4), pp.576. ⟨10.3390/math8040576⟩. ⟨hal-03114193⟩
  • Mohamed Ali Ben Alaya, Camille Ternynck, Sophie Dabo-Niang, Fateh Chebana, Taha B.M.J. Ouarda. Change point detection of flood events using a functional data framework. Advances in Water Resources, 2020, 137, pp.103522. ⟨10.1016/j.advwatres.2020.103522⟩. ⟨hal-03133809⟩
  • Margot Selosse, Julien Jacques, Christophe Biernacki. Textual data summarization using the Self-Organized Co-Clustering model. Pattern Recognition, 2020, 103, pp.107315. ⟨10.1016/j.patcog.2020.107315⟩. ⟨hal-02115294v3⟩
  • Benjamin Guedj, Bhargav Srinivasa Desikan. Kernel-Based Ensemble Learning in Python. Information, 2020, 11 (2), pp.63. ⟨10.3390/info11020063⟩. ⟨hal-02443097v2⟩
  • Stéphane Chrétien, Hemant Tyagi. Multi-kernel unmixing and super-resolution using the Modified Matrix Pencil method. Journal of Fourier Analysis and Applications, 2020, 26 (18), ⟨10.1007/s00041-020-09725-x⟩. ⟨hal-02379598⟩
  • Sophie Dabo-Niang, Baba Thiam. Kernel regression estimation with errors-in-variables for random fields. Afrika Matematika, 2020, 31, pp.29-56. ⟨10.1007/s13370-019-00654-7⟩. ⟨hal-02334993⟩
  • Mihai Cucuringu, Hemant Tyagi. Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping. Journal of Machine Learning Research, 2020, 21 (32), pp.1−77. ⟨hal-02379573⟩
  • Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant. PAC-Bayes and Domain Adaptation. Neurocomputing, 2020, 379, pp.379-397. ⟨10.1016/j.neucom.2019.10.105⟩. ⟨hal-01563152v3⟩
  • Hiba Alawieh, Nicolas Wicker, Christophe Biernacki. Projection under pairwise distance controls. Communications in Statistics - Theory and Methods, 2020, ⟨10.1080/03610926.2020.1741626⟩. ⟨hal-01420662v5⟩
  • Margot Selosse, Julien Jacques, Christophe Biernacki. Model-based co-clustering for mixed type data. Computational Statistics and Data Analysis, 2020, 144, pp.106866. ⟨10.1016/j.csda.2019.106866⟩. ⟨hal-01893457v2⟩
  • Marie Cuvelliez, Vincent Vandewalle, Maxime Brunin, Olivia Beseme, Audrey Hulot, et al.. Circulating proteomic signature of early death in heart failure patients with reduced ejection fraction. Scientific Reports, 2019, 9, pp.19202. ⟨10.1038/s41598-019-55727-1⟩. ⟨hal-02414293v2⟩
  • Sylvain Arlot, Alain Celisse, Zaid Harchaoui. A Kernel Multiple Change-point Algorithm via Model Selection. Journal of Machine Learning Research, 2019, 20 (162), pp.1--56. ⟨hal-00671174v3⟩
  • Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini. Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters. Neurocomputing, 2019, 358, pp.81-92. ⟨10.1016/j.neucom.2019.04.072⟩. ⟨hal-01857463v4⟩
  • Maxime Baelde, Christophe Biernacki, Raphaël Greff. Real-Time Monophonic and Polyphonic Audio Classification from Power Spectra. Pattern Recognition, 2019, 92, pp.82-92. ⟨10.1016/j.patcog.2019.03.017⟩. ⟨hal-01834221v3⟩
  • Armin Eftekhari, Jared Tanner, Andrew Thompson, Bogdan Toader, Hemant Tyagi. Sparse non-negative super-resolution — simplified and stabilised. Applied and Computational Harmonic Analysis, 2019, ⟨10.1016/j.acha.2019.08.004⟩. ⟨hal-02379445⟩
  • Margot Selosse, Julien Jacques, Christophe Biernacki, Florence Cousson-Gélie. Analysing a quality of life survey using a co-clustering model for ordinal data and some dynamic implications. Journal of the Royal Statistical Society: Series C Applied Statistics, 2019, 68 (Part 5), pp.1327-1349. ⟨10.1111/rssc.12365⟩. ⟨hal-01643910v3⟩
  • Michela Bernardini, Alessia Brossa, Giorgia Chinigo, Guillaume Grolez, Giulia Trimaglio, et al.. Transient Receptor Potential Channel Expression Signatures in Tumor-Derived Endothelial Cells: Functional Roles in Prostate Cancer Angiogenesis. Cancers, 2019, 11 (7), pp.956. ⟨10.3390/cancers11070956⟩. ⟨hal-02404061⟩
  • Florent Dewez, Valentin Montmirail. Decrypting the Hill Cipher via a Restricted Search over the Text-Space. Linköping Electronic Conference Proceedings, 2019. ⟨hal-02271395⟩
  • Denis A Mogilenko, Joël Haas, Laurent L'Homme, Sébastien Fleury, Sandrine Quemener, et al.. Metabolic and innate immune cues merge into a specific inflammatory response via unfolded protein response (UPR). Cell, In press, 177 (5), pp.1201-1216.e19. ⟨10.1016/j.cell.2019.03.018⟩. ⟨inserm-02084447⟩
  • Hemant Tyagi, Jan Vybiral. Learning general sparse additive models from point queries in high dimensions. Constructive Approximation, 2019, 50, pp.403-455. ⟨10.1007/s00365-019-09461-6⟩. ⟨hal-02379404⟩
  • Samuel Blanck, Guillemette Marot. SMAGEXP: a galaxy tool suite for transcriptomics data meta-analysis.. GigaScience, 2019, GigaScience, 8 (2), ⟨10.1093/gigascience/giy167⟩. ⟨hal-03897308⟩
  • Gildas Mazo, Yaroslav Averyanov. Constraining kernel estimators in semiparametric copula mixture models. Computational Statistics and Data Analysis, 2019, 138, pp.170-189. ⟨10.1016/j.csda.2019.04.010⟩. ⟨hal-02620478⟩
  • Sophie Dabo-Niang, Stelian Curceac, Camille Ternynck, Taha B.M.J. Ouarda, Fateh Chebana. Short-term air temperature forecasting using Nonparametric Functional Data Analysis and SARMA models. Environmental Modelling and Software, 2019, 111, pp.394-408. ⟨10.1016/j.envsoft.2018.09.017⟩. ⟨hal-02334991⟩
  • Mohamed-Salem Ahmed, Sophie Dabo-Niang, Michaël Genin, Alaa Ali Hassan. Partially Linear Spatial Probit Models. Annales de l'ISUP, 2019, 63 (2-3), pp.71-96. ⟨hal-03133818⟩
  • Pierre Alliez, Roberto Di Cosmo, Benjamin Guedj, Alain Girault, Mohand-Said Hacid, et al.. Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria. Computing in Science and Engineering, 2019, pp.1-14. ⟨10.1109/MCSE.2019.2949413⟩. ⟨hal-02135891v2⟩
  • Leila Hamdad, Ouafae Benrabah, Sophie Dabo-Niang. Exploring spectral density estimation for spatial linear process with mixing innovations. Arabian Journal of Mathematics, 2018, 9 (1), pp.101-121. ⟨10.1007/s40065-018-0227-3⟩. ⟨hal-04500320⟩
  • Matthieu Marbac, Vincent Vandewalle. A tractable Multi-Partitions Clustering. Computational Statistics and Data Analysis, 2018, ⟨10.1016/j.csda.2018.06.013⟩. ⟨hal-01691417⟩
  • Julien Jacques, Christophe Biernacki. Model-Based Co-clustering for Ordinal Data. Computational Statistics and Data Analysis, 2018, 123, pp.101-115. ⟨10.1016/j.csda.2018.01.014⟩. ⟨hal-01448299v2⟩
  • Benjamin Guedj, Bhargav Srinivasa Desikan. Pycobra: A Python Toolbox for Ensemble Learning and Visualisation. Journal of Machine Learning Research, 2018, 18, pp.1 - 5. ⟨hal-01514059v3⟩
  • Christophe Biernacki, Alexandre Lourme. Unifying Data Units and Models in (Co-)Clustering. Advances in Data Analysis and Classification, 2018, 13, pp.7-31. ⟨10.1007/s11634-018-0325-2⟩. ⟨hal-01653881⟩
  • Yosra Ben Slimen, Sylvain Allio, Julien Jacques. Model-Based Co-clustering for Functional Data. Neurocomputing, 2018, 291, pp.97-108. ⟨10.1016/j.neucom.2018.02.055⟩. ⟨hal-01422756⟩
  • Ramón Giraldo, Sophie Dabo-Niang, Sergio Martinez. Statistical modeling of spatial big data: An approach from a functional data analysis perspective. Statistics and Probability Letters, 2018, 136, pp.126-129. ⟨10.1016/j.spl.2018.02.025⟩. ⟨hal-01744181⟩
  • Clarisse Dhaenens, Julie Jacques, Vincent Vandewalle, Maxence Vandromme, Emmanuel Chazard, et al.. ClinMine: Optimizing the Management of Patients in Hospital. Innovation and Research in BioMedical engineering, 2018, 39 (2), pp.83-92. ⟨10.1016/j.irbm.2017.12.002⟩. ⟨hal-01692197⟩
  • Le Li, Benjamin Guedj, Sébastien Loustau. A Quasi-Bayesian Perspective to Online Clustering. Electronic Journal of Statistics , 2018, ⟨10.1214/18-EJS1479⟩. ⟨hal-01264233v4⟩
  • Benjamin Guedj, Sylvain Robbiano. PAC-Bayesian High Dimensional Bipartite Ranking. Journal of Statistical Planning and Inference, 2018, ⟨10.1016/j.jspi.2017.10.010⟩. ⟨hal-01226472⟩
  • Pierre Alquier, Benjamin Guedj. Simpler PAC-Bayesian Bounds for Hostile Data. Machine Learning, 2018, 107 (5), pp.887-902. ⟨10.1007/s10994-017-5690-0⟩. ⟨hal-01385064v3⟩
  • Sophie Dabo-Niang, Aboubacar Amiri. Density estimation over spatio-temporal data streams. Econometrics and Statistics , 2017, ⟨10.1016/j.ecosta.2017.08.005⟩. ⟨hal-01654081⟩
  • Elise Hebbinckuys, Jean-Pierre Marissal, Cristian Preda, Valérie Leclercq. Assessing the burden of Clostridium difficile infections for hospitals. Journal of Hospital Infection, 2017, pp.1-7. ⟨10.1016/j.jhin.2017.08.023⟩. ⟨hal-01655460⟩
  • Emmanuel Chazard, Grégoire Ficheur, Jean-Baptiste Beuscart, Cristian Preda. How to Compare the Length of Stay of Two Samples of Inpatients? A Simulation Study to Compare Type I and Type II Errors of 12 Statistical Tests. Value in Health, 2017, 20 (7), pp.992 - 998. ⟨10.1016/j.jval.2017.02.009⟩. ⟨hal-01655463⟩
  • Md Abul Hasnat, Julien Velcin, Stephane Bonnevay, Julien Jacques. Evolutionary clustering for categorical data using parametric links among multinomial mixture models. Econometrics and Statistics , 2017, 3, pp.141-159. ⟨10.1016/j.ecosta.2017.03.004⟩. ⟨hal-01204613v3⟩
  • Mohamed-Salem Ahmed, Mohammed Kadi Attouch, Sophie Dabo-Niang. Binary functional linear models under choice-based sampling. Econometrics and Statistics , 2017, ⟨10.1016/j.ecosta.2017.07.001⟩. ⟨hal-01654079⟩
  • Julie Dubois, Vanessa Dubois, Hélène Dehondt, Parisa Mazrooei, Claire Mazuy, et al.. The logic of transcriptional regulator recruitment architecture at cis-regulatory modules controlling liver functions. Genome Research, 2017, Genome research, 27 (6), pp.985-996. ⟨10.1101/gr.217075.116⟩. ⟨hal-01647846⟩
  • Parmeet Bhatia, Serge Iovleff, Gérard Govaert. blockcluster: An R Package for Model Based Co-Clustering. Journal of Statistical Software, 2017, 76 (9), pp.24. ⟨10.18637/jss.v076.i09⟩. ⟨hal-01093554⟩
  • Pierre Alquier, Benjamin Guedj. An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization. Mathematical Methods of Statistics, 2017, 26 (1), pp.55 - 67. ⟨10.3103/S1066530717010045⟩. ⟨hal-01251878v4⟩
  • Parmeet Bathia, Serge Iovleff, Gérard Govaert. An R Package and C++ library for Latent block models: Theory, usage and applications. Journal of Statistical Software, 2017, 76 (9), pp.1-24. ⟨hal-01285610⟩
  • Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Model-based clustering of Gaussian copulas for mixed data. Communications in Statistics - Theory and Methods, 2017, 46 (23), pp.11635-11656. ⟨10.1080/03610926.2016.1277753⟩. ⟨hal-00987760v4⟩
  • Azzouz Dermoune, Cristian Preda. Parametrizations, fixed and random effects. Journal of Multivariate Analysis, 2016, 154, pp.162 - 176. ⟨10.1016/j.jmva.2016.11.001⟩. ⟨hal-01424782⟩
  • Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Latent class model with conditional dependency per modes to cluster categorical data. Advances in Data Analysis and Classification, 2016, 10 (2), pp.183-207. ⟨10.1007/s11634-016-0250-1⟩. ⟨hal-00950112v2⟩
  • Pierre Masselot, Sophie Dabo-Niang, Fateh Chebana, Taha B.M.J. Ouarda. Streamflow forecasting using functional regression. Journal of Hydrology, 2016, 538, pp.754-766. ⟨10.1016/j.jhydrol.2016.04.048⟩. ⟨hal-01425931⟩
  • Sophie Dabo-Niang, Camille Ternynck, Anne-Françoise Yao. Nonparametric prediction in the multivariate spatial context. Journal of Nonparametric Statistics, 2016, 28 (2), pp.428-458. ⟨10.1080/10485252.2016.01.007⟩. ⟨hal-01425932⟩
  • Charles Herbaux, Elisabeth Bertrand, Guillemette Marot, Christophe Roumier, Nicolas Poret, et al.. BACH2 promotes indolent clinical presentation in Waldenström macroglobulinemia. Oncotarget, 2016. ⟨hal-01423307⟩
  • Sophie Dabo-Niang, Serge Guillas, Camille Ternynck. More efficient kernel functional regression estimation with correlated errors. Journal of Multivariate Analysis, 2016, ⟨10.1016/j.jmva.2016.01.007⟩. ⟨hal-01425933⟩
  • Aboubacar Amiri, Sophie Dabo-Niang, Mohamed Yahaya. Non-parametric recursive density estimation for spatial data. Comptes Rendus. Mathématique, 2016, ⟨10.1016/j.crma.2015.10.010⟩. ⟨hal-01425935⟩
  • Christophe Biernacki, Julien Jacques. Model-Based Clustering of Multivariate Ordinal Data Relying on a Stochastic Binary Search Algorithm. Statistics and Computing, 2016, 26 (5), pp.929-943. ⟨10.1007/s11222-015-9585-2⟩. ⟨hal-01052447v2⟩
  • Loïc Yengo, Julien Jacques, Christophe Biernacki, Mickael Canouil. Variable Clustering in High-Dimensional Linear Regression: The R Package clere. The R Journal, 2016, 8 (1), pp.92-106. ⟨10.32614/RJ-2016-006⟩. ⟨hal-00940929⟩
  • Julien Jacques, Cyril Ruckebusch. Model-based co-clustering for hyperspectral images. Journal of Spectral Imaging, 2016, 5, pp.a3-1 - a3-6. ⟨10.1255/jsi.2016.a3⟩. ⟨hal-01367941⟩
  • Sophie Dabo-Niang, Camille Ternynck, Fateh Chebana, Mohamed Ali Ben Alaya, Taha Ouarda. Streamflow hydrograph classification using functional data analysis. Journal of Hydrometeorology, 2015, ⟨10.1175/JHM-D-14-0200.1⟩. ⟨hal-01206807⟩
  • Stephanie Poulain, Christophe Roumier, Aurelie Venet-Caillault, Martin Figeac, Charles Herbaux, et al.. Genomic landscape of CXCR4 mutations in Waldenstrom's Macroglobulinemia. Clinical Cancer Research, 2015, 21 (22), ⟨10.1158/1078-0432.CCR-15-0646⟩. ⟨hal-01230058⟩
  • Rémi Lebret, Serge Iovleff, Florent Langrognet, Christophe Biernacki, Gilles Celeux, et al.. Rmixmod: The R Package of the Model-Based Unsupervised, Supervised and Semi-Supervised Classification Mixmod Library. Journal of Statistical Software, 2015, 67 (6), pp.241-270. ⟨10.18637/jss.v067.i06⟩. ⟨hal-00919486⟩
  • Sophie Dabo-Niang, Guy-Martial Nkiet, Stéphane Bouka. Non-parametric level set estimation for spatial data. Advances and Applications in Statistics, 2015, 46 (2), pp.119 - 158. ⟨10.17654/ADASAug2015_119_158⟩. ⟨hal-01206787⟩
  • Serge Iovleff. Probabilistic Auto-Associative Models and Semi-Linear PCA. Advances in Data Analysis and Classification, 2015, 9 (3), pp.20. ⟨10.1007/s11634-014-0185-3⟩. ⟨hal-00734070v2⟩
  • Sophie Dabo-Niang, Anne-Françoise Yao, Camille Ternynck. A new spatial regression estimator in the multivariate context. Comptes rendus de l'Académie des sciences. Série I, Mathématique, 2015, 353 (7), pp.635 - 639. ⟨10.1016/j.crma.2015.04.004⟩. ⟨hal-01206781⟩
  • Sophie Dabo-Niang, Ali Laksaci, Zoulikha Kaid. On spatial conditional quantile estimation for a functional regressor. AStA Advances in Statistical Analysis, 2015. ⟨hal-01206774⟩
  • Charles Bouveyron, Etienne Côme, Julien Jacques. The discriminative functional mixture model for a comparative analysis of bike sharing systems . Annals of Applied Statistics, 2015, 9 (4), pp.1726-1760. ⟨10.1214/15-AOAS861⟩. ⟨hal-01024186v3⟩
  • Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Model-based clustering for conditionally correlated categorical data. Journal of Classification, 2015, 2 (32), pp.145-175. ⟨10.1007/s00357⟩. ⟨hal-00787757v3⟩
  • Khalid Benabdeslem, Christophe Biernacki, Mustapha Lebbah. Les trois défis du Big-Data: Eléments de reflexion. Statistique et Société, 2015, 3 (1), pp.19-22. ⟨hal-01198435⟩
  • Quentin Grimonprez, Alain Celisse, Samuel Blanck, Meyling Cheok, Martin Figeac, et al.. MPAgenomics : An R package for multi-patients analysis of genomic markers. BMC Bioinformatics, 2014, 15, pp.394. ⟨10.1186/s12859-014-0394-y⟩. ⟨hal-00933614v3⟩
  • Sophie Dabo-Niang, Zoulikha Kaid, Ali Laksaci. Asymptotic properties of the kernel estimate of spatial conditional mode when the regressor is functional. AStA Advances in Statistical Analysis, 2014, 99 (2), pp.131--160. ⟨10.1007/s10182-014-0233-5⟩. ⟨hal-01592786⟩
  • Sophie Dabo-Niang, Leila Hamdad, Camille Ternynck, Anne-Françoise Yao. A kernel spatial density estimation allowing for the analysis of spatial clustering. Application to Monsoon Asia Drought Atlas data. Stochastic Environmental Research and Risk Assessment, 2014, 28, pp.2075-2099. ⟨10.1007/s00477-014-0903-6⟩. ⟨hal-01094743⟩
  • Julien Jacques, Christophe Biernacki. Model-based clustering for multivariate partial ranking data. Journal of Statistical Planning and Inference, 2014, 149, pp.201-217. ⟨hal-00743384⟩
  • Julien Jacques, Quentin Grimonprez, Christophe Biernacki. Rankcluster: An R package for clustering multivariate partial rankings. The R Journal, 2014, 6 (1), pp.10. ⟨10.32614/rj-2014-010⟩. ⟨hal-00840692v3⟩
  • Emil Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki. Mixture of Gaussians for Distance Estimation with Missing Data. Neurocomputing, 2014, 131, pp.32-42. ⟨10.1016/j.neucom.2013.07.050⟩. ⟨hal-00921023v2⟩
  • Julien Jacques, Cristian Preda. Model-based clustering for multivariate functional data. Computational Statistics and Data Analysis, 2014, 71, pp.92-106. ⟨10.1016/j.csda.2012.12.004⟩. ⟨hal-00713334v2⟩
  • Alexandru Amarioarei, Cristian Preda. Approximations for two-dimensional discrete scan statistics in some block-factor type dependent models. Journal of Statistical Planning and Inference, 2014, 151-152, pp.14. ⟨10.1016/j.jspi.2014.05.002⟩. ⟨hal-01092993⟩
  • Julien Jacques, Cristian Preda. Functional data clustering: a survey. Advances in Data Analysis and Classification, 2014, 8 (3), pp.24. ⟨10.1007/s11634-013-0158-y⟩. ⟨hal-00771030⟩
  • Sophie Dabo-Niang, Sidi Ali Ould Abdi, Ahmedoune Ould Abdi, Aliou Diop. Consistency of a nonparametric conditional mode estimator for random fields. Statistical Methods and Applications, 2014, pp.21. ⟨10.1007/s10260-013-0239-2⟩. ⟨hal-00921178⟩
  • Loïc Yengo, Julien Jacques, Christophe Biernacki. Variable clustering in high dimensional linear regression models. Journal de la Société Française de Statistique, 2014, Numéro spécial : analyse des données en grande dimension, 155 (2), pp.38-56. ⟨hal-00764927v2⟩
  • Andrea Rau, Guillemette Marot, Florence Jaffrezic. Differential meta-analysis of RNA-seq data from multiple studies. BMC Bioinformatics, 2014, 15 (1), pp.91. ⟨10.1186/1471-2105-15-91⟩. ⟨hal-00978902⟩
  • Nathalie Martin, Clara Salazar-Cardozo, Chantal Vercamer, Louise Ott, Guillemette Marot, et al.. Identification of a gene signature of a pre-transformation process by senescence evasion in normal human epidermal keratinocytes. Molecular Cancer, 2014, 13 (1), pp.151. ⟨10.1186/1476-4598-13-151⟩. ⟨hal-01011012⟩
  • Alexandre Lourme, Christophe Biernacki. Simultaneous Gaussian Model-Based Clustering for Samples of Multiple Origins. Computational Statistics, 2013, 28, pp.371-391. ⟨10.1007/s00180-012-0305-5⟩. ⟨hal-00921041⟩
  • Christophe Biernacki, Alexandre Lourme. Gaussian Parsimonious Clustering Models Scale Invariant and Stable by Projection. Statistics and Computing, 2013, pp.21. ⟨hal-00688250⟩
  • Alexandru Amarioarei, Cristian Preda. Approximation for the Distribution of Three-dimensional Discrete Scan Statistic. Methodology and Computing in Applied Probability, 2013, pp.14. ⟨10.1007/s11009-013-9382-3⟩. ⟨hal-01092992⟩
  • Julien Jacques, Cristian Preda. Funclust: a curves clustering method using functional random variables density approximation. Neurocomputing, 2013, 112, pp.164-171. ⟨10.1016/j.neucom.2012.11.042⟩. ⟨hal-00628247v2⟩
  • Madison Giacofci, Sophie Lambert-Lacroix, Guillemette Marot, Franck Picard. Wavelet-based clustering for mixed-effects functional models in high dimension. Biometrics, 2013, 69 (1), pp.31-40. ⟨10.1111/j.1541-0420.2012.01828.x⟩. ⟨hal-00782458⟩
  • Robert Walker, Mathieu Gissot, Ludovic Huot, Thilabalo Dilezitoko Alayi, David Hot, et al.. Toxoplasma transcription factor TgAP2XI-5 regulates the expression of genes involved in parasite virulence and host invasion.. Journal of Biological Chemistry, 2013, 288 (43), pp.31127-31138. ⟨10.1074/jbc.M113.486589⟩. ⟨hal-00921150⟩
  • Sophie Dabo-Niang, Anne-Françoise Yao. Spatial kernel density estimation for functional random variables. Metrika, 2013, 76, 1, pp.19-52. ⟨hal-00943638⟩
  • Damien Valour, Isabelle Hue, Séverine Degrelle, Sébastien Dejean, Guillemette Marot, et al.. Pre- and Post-Partum Mild Underfeeding Influences Gene Expression in the Reproductive Tract of Cyclic Dairy Cows.. Reproduction in Domestic Animals, 2012, 48 (3), pp.484-499. ⟨10.1111/rda.12113⟩. ⟨hal-00782492⟩
  • Gérard Grégoire, François-Xavier Jollois, Jean-François Petiot, Abdellah Qannari, Serge Sabourin, et al.. Les logiciels et l'enseignement de la statistique dans les départements " Statistique et Informatique Décisionnelle " (STID) des IUT. Statistique et Enseignement, 2012, 2 (2), pp.5-24. ⟨hal-00913110⟩
  • Marie-Agnès Dillies, Andrea Rau, Julie Aubert, Christelle Hennequet-Antier, Marine Jeanmougin, et al.. A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis. Briefings in Bioinformatics, 2012, 14 (6), pp.671-683. ⟨10.1093/bib/bbs046⟩. ⟨hal-00782486⟩
  • Charles Bouveyron, Julien Jacques. Model-based Clustering of Time Series in Group-specific Functional Subspaces. Advances in Data Analysis and Classification, 2011, 5 (4), pp.281-300. ⟨10.1007/s11634-011-0095-6⟩. ⟨hal-00559561v2⟩
  • Isabelle Thomas, Pierre Frankhauser, Christophe Biernacki. The morphology of built-up landscapes in wallonia (Belgium) : a classification using fractal indices. Landscape and Urban Planning, 2008, 84, pp.99-115. ⟨10.1016/j.landurbplan.2007.07.002⟩. ⟨hal-00731650⟩
  • Cristian Preda, Gilbert Saporta. Régression PLS sur un processus stochastique. Revue de Statistique Appliquée, 2002, 50 (2), pp.27-45. ⟨hal-02507754⟩

Conference papers210 documents

  • Violaine Courrier, Christophe Biernacki, Cristian Preda, Benjamin Vittrant. Étude comparative de modèles de clustering de séries temporelles multivariées issues d'objets médicaux connectés. EGC 2024 - 24ème Conférence Francophone sur l'Extraction et Gestion des Connaissances, Jan 2024, Dijon, France. ⟨pasteur-04364645v2⟩
  • Christophe Biernacki. Levels Merging in the Latent Class Model. CFE-CMStatistics 2023, Dec 2023, Berlin, Germany. ⟨hal-04370783⟩
  • Paul Viallard, Maxime Haddouche, Umut Şimşekli, Benjamin Guedj. Learning via Wasserstein-Based High Probability Generalisation Bounds. NeurIPS 2023 Workshop on Optimal Transport and Machine Learning (OTML'23), Dec 2023, New Orleans, United States. ⟨10.48550/arXiv.2306.04375⟩. ⟨hal-04273718⟩
  • Sophie Dabo-Niang. Spatial Functional Data Modeling through Gaussian Processes. Journ ́ees de Statistique Math ́ematique et Data Science (JSMDS), Nov 2023, Hammamet, Tunisia. ⟨hal-04507872⟩
  • Christophe Biernacki. Digital Science for Disability Overview of the initiatives undertaken by Inria. Inria/IIT DELHI workshop, Oct 2023, New delhi, India. ⟨hal-04370905⟩
  • Sophie Dabo-Niang. On the enlightened path of an African woman in mathematics. Black Heroes of Mathematics Conference, Oct 2023, Edinbourg, Ecosse, United Kingdom. ⟨hal-04507829⟩
  • Sophie Dabo-Niang. Cluster detection for high dimensional spatial data. Math4ML Workshop 2023, AIMS (African Institute of Mathematical Science), Sep 2023, Accra (Ghana), Ghana. ⟨hal-04507867⟩
  • Sophie Dabo-Niang. A Global Perspective, The African perspective about the Gender Gap in Science. ICIAM 2023 mini-symposium Gender Equality in Mathematics, Aug 2023, Tokyo (JP), Japan. ⟨hal-04507875⟩
  • Christophe Biernacki, Matthieu Marbac, Vincent Vandewalle. Clustering: from modeling to visualizing Mapping clusters as spherical Gaussians. Working Group on Model-Based Clustering, Jul 2023, Pittsburg, Etats-Unis, United States. ⟨hal-04370893⟩
  • Christophe Biernacki, Vincent Vandewalle, Matthieu Marbac. Clustering: from modeling to visualizing Mapping clusters as spherical Gaussians. SFC 2023 - Rencontres de la Société Francophone de Classification, Jul 2023, Strasbourg, France. ⟨hal-04370886⟩
  • C Boinay, C Biernacki, C Preda. Graphs in OT Testing Graph Abnormality Application to a Real OT Data Set Ongoing & Future Works References. 54e Journées de Statistique, Jul 2023, Bruxelles, Belgium. ⟨hal-04370878⟩
  • Cristian Preda. Learning with categorical functional data. The Tenth Congress of Romanian Mathematicians, 2023, Romanian Academy, Jun 2023, Pitesti, Romania. ⟨hal-04393613⟩
  • C Biernacki. Levels Merging in the Latent Class Model. Statistical Learning Sustainability and Impact Evaluation, Jun 2023, Ancona (IT), Italy. ⟨hal-04370900⟩
  • Sophie Dabo-Niang. Investigating spatial scan statistics for multivariate functional data. SSPA'23 - Symposium on Statistics, Probability and Their Applications, Jun 2023, Oujda, Morocco. ⟨hal-04507849⟩
  • Sophie Dabo-Niang. The gender gap in Maths in Africa. African Women In Mathematics (AWMA) days, African Women In Mathematics (AWMA), May 2023, Ouagadoudou, Burkina Faso. ⟨hal-04507857⟩
  • Sophie Dabo-Niang. Bridging FDA Learning : to MEMS instrumentation for cell characterization. Theory to Practice (T2P), AIMS (African Institute of Mathematical Science), Apr 2023, Kigali, Rwanda. ⟨hal-04507863⟩
  • Felix Biggs, Benjamin Guedj. Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty. AISTATS 2023 - 26th International Conference on Artificial Intelligence and Statistics, Apr 2023, Valencia, Spain. ⟨hal-03953307⟩
  • Cristian Preda, Quentin Grimonprez. Linear approximation for multivariate categorical functional data analysis. THE 24th CONFERENCE of the ROMANIAN SOCIETY of PROBABILITY and STATISTICS, Apr 2023, Bucharest, Romania. ⟨hal-04393621⟩
  • Christophe Biernacki, Claire Boyer, Gilles Celeux, Julie Josse, Fabien Laporte, et al.. Impact of missing data on mixtures and clustering with illustrations in Biology and Medicine. SPSR 2023 - The 24th annual Conference of the Romanian Society of Probability and Statistics, Apr 2023, Bucarest, Romania. ⟨hal-04370870⟩
  • Sophie Dabo-Niang. Bridging FDA Learning : to MEMS instrumentation for cell characterization. 30 MIN SCIENCES, Apr 2023, Lille, France. ⟨hal-04507860⟩
  • Sophie Dabo-Niang. Investigating spatial scan statistics for multivariate functional data. International Conference on Recent Developments in Mathematical Modeling in Biology (3MC), Mar 2023, Potchefstroom, South Africa. ⟨hal-04507870⟩
  • Sophie Dabo-Niang. The global survey of scientists Focus on Mathematics and Africa. Standing Committee for Gender Equality in Science (SCGES), Standing Committee for Gender Equality in Science, Feb 2023, Paris, France. ⟨hal-04507854⟩
  • Christophe Biernacki. Impact of Missing Data on Mixtures and Clustering. CMStatistics 2022 - 15th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2022, London, United Kingdom. ⟨hal-03936786⟩
  • Rim Essifi. The Patient Path: a first approach. CMStatistics 2022 - The 15th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2022, Londres, United Kingdom. ⟨hal-03942217⟩
  • Guillemette Marot. Introduction to statistics for omics data. Thematic school FTMS 2022 - Fourier Transform Mass Spectrometry: treatment of ultra high resolution data, Nov 2022, Ambleteuse, France. ⟨hal-03942855⟩
  • Sophie Dabo-Niang. Econometrics, Space : Applications to economic growth and management of fishery resources. Colloque ENSAE, IRD, University Paris Dauphine, Nov 2022, Dakar (Sénégal), Senegal. ⟨hal-04507846⟩
  • Idris Si-Ahmed, Mazamaesso Azeyou, Leila Hamdad, Sophie Dabo-Niang. Functional, Multivariate Functional and Spatial PCA: Application to Covid-19 Data in the African Continent. 12th International Conference on Information Systems and Advanced Technologies ICISAT 2022, Aug 2022, Virtual conference, France. pp.318-328, ⟨10.1007/978-3-031-25344-7_28⟩. ⟨hal-04392801⟩
  • Guillaume Braun, Hemant Tyagi, Christophe Biernacki. An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. Proceedings of the 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States. ⟨hal-03526257⟩
  • Paul Viallard, Rémi Emonet, Pascal Germain, Amaury Habrard, Emilie Morvant, et al.. Intérêt des bornes désintégrées pour la généralisation avec des mesures de complexité. CAp 2022, Jul 2022, Vannes, France. ⟨hal-03703811⟩
  • Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, et al.. Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound. CAp 2022, Jul 2022, Vannes, France. ⟨hal-03703804⟩
  • Guillemette Marot. Meta-analysis of RNA-Seq data. Journée scientifique - Le RNA-Seq, de la paillasse à l'analyse in silico, PLBS, bilille and GoaL platforms, Jun 2022, Lille, France. ⟨hal-03942820⟩
  • Christophe Biernacki, Claire Boyer, Gilles Celeux, Julie Josse, Fabien Laporte, et al.. Impact of missing data on mixtures and clustering with illustrations in Biology and Medicine. ASA 2022 - Apprentissage Statistiques et Applications, Jun 2022, Poitiers, France. ⟨hal-03936781⟩
  • Guillemette Marot, Quentin Grimonprez, Samuel Blanck, Alain Celisse. Variable selection with Multi-Layer Group Lasso. useR! 2022, Jun 2022, Virtual, United States. ⟨hal-03942579⟩
  • Guillemette Marot, Wilfried Heyse, Vincent Vandewalle, Christophe Bauters, Florence Pinet. Clinical score building from high-throughput proteomic data. ICM/Inria/SCAI workshop “Computational and mathematical approaches for neuroscience”, Jun 2022, Paris, France. ⟨hal-03942723⟩
  • Yoba Kande, Patrice Brehmer, Sophie Dabo-Niang. Spatial functionnal analysis of acoustic fisheries data. 20th Edition of the International Workshop in Spatial Econometrics and Statistics, Université de Lille; INRIA, May 2022, Lille (FR), France. ⟨hal-04490551⟩
  • Sophie Dabo-Niang. Investigating spatial scan statistics for multivariate functional data. Colloque International de Statistique et Econométrie (CISEM 2022), May 2022, Mahdia, Tunisia, Tunisia. ⟨hal-04507827⟩
  • Sophie Dabo-Niang. Multivariate Principal Component Analysis and Binary Functional Linear Models under Case-Control Sampling. Colloque International de Statistique et Econométrie (CISEM 2022), May 2022, Mahdia, Tunisia, Tunisia. ⟨hal-04507825⟩
  • Christophe Biernacki. Fondamentaux de l’IA et domaines d’application. Journées Techniques Routes 2022, May 2022, Nantes, France. ⟨hal-03936772⟩
  • Felix Biggs, Benjamin Guedj. On Margins and Derandomisation in PAC-Bayes. AISTATS 2022 - 25th International Conference on Artificial Intelligence and Statistics, Mar 2022, Valencia, Spain. ⟨hal-03282597v2⟩
  • Badr-Eddine Chérief-Abdellatif, Yuyang Shi, Arnaud Doucet, Benjamin Guedj. On PAC-Bayesian reconstruction guarantees for VAEs. 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022, Mar 2022, Valencia / Virtual, Spain. ⟨hal-03587178⟩
  • Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki. Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models. 36th AAAI Conférence on Artificial Intelligence, Feb 2022, Vancouver, Canada. ⟨hal-03505639⟩
  • Bahram Ahmadian, Deborah Mbujamba, Jean Claude Gerbedoen, Momoko Kumemura, Hiroyuki Fujita, et al.. Single cell classification using statistical learning on mechanical properties measured by mems tweezers. IEEE 35th International Conference on Micro Electro Mechanical Systems Conference (MEMS 2022), Jan 2022, Tokyo, Japan. pp.317-320, ⟨10.1109/MEMS51670.2022.9699466⟩. ⟨hal-03528082⟩
  • Sophie Dabo-Niang. Gendergap in Science in Africa.. AERAP Africa-Europe Science Collaboration Platform, Dec 2021, online, France. ⟨hal-04464577⟩
  • Maria Perez-Ortiz, Omar Rivasplata, Emilio Parrado-Hernandez, Benjamin Guedj, John Shawe-Taylor. Progress in Self-Certified Neural Networks. NeurIPS 2021 - Conference on Neural Information Processing Systems. Session Workshop : Bayesian Deep Learning, Dec 2021, Virtual, United Kingdom. ⟨10.48550/arXiv.2111.07737⟩. ⟨hal-03430821⟩
  • Antoine Vendeville, Benjamin Guedj, Shi Zhou. Towards control of opinion diversity by introducing zealots into a polarised social group. Complex Networks and Their Applications X, Nov 2021, Madrid, Spain. ⟨10.1007/978-3-030-93413-2_29⟩. ⟨hal-02872161v3⟩
  • Sophie Dabo-Niang. Detection of spatial mortality patterns using functional principal components for areal data. JSMDS 2021, Nov 2021, Hammamet (TUN), Tunisia. ⟨hal-04464583⟩
  • Eole Nyangwile, Wilfried Heyse, Caroline Méjean, Jean Dallongeville. Analyses des transitions alimentaires dans le monde entre 1961 à 2018. Journées Francophones de Nutrition (JFN 2021), JFN, Nov 2021, Online, France. ⟨10.1016/j.cnd.2022.02.004⟩. ⟨hal-03463798⟩
  • Sophie Dabo-Niang. Spatial Econometric modeling and Applications to environment and health. First modelization days in Mayotte, Nov 2021, Mayotte, Mayotte. ⟨hal-04464581⟩
  • Michaël Fanuel, Hemant Tyagi. Recovering Hölder smooth functions from noisy modulo samples. 55th Asilomar Conference on Signals, Systems, and Computers, IEEE Signal Processing Society, Oct 2021, Pacific Grove, CA, United States. pp.857-861, ⟨10.1109/IEEECONF53345.2021.9723268⟩. ⟨hal-03511325⟩
  • Filippo Antonazzo, Christophe Biernacki, Christine Keribin. Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach. Working Group - Model-based Clustering, Oct 2021, Athens, Greece. ⟨hal-03505673⟩
  • Sophie Dabo-Niang. Spatial Econometric modeling and Applications to environment and health. PASRC Webinar, Oct 2021, Princeton (on line), United States. ⟨hal-04507823⟩
  • Christophe Biernacki, Nathalie Mitton. L'intelligence artificielle dans la gestion de patrimoine des infrastructures de mobilité. Congrès de l'IDDRIM, Oct 2021, Rennes, France. ⟨hal-03976716⟩
  • Christophe Biernacki. Le sport face aux jeux (de données). Session Olympique Universitaire (SOU), Sep 2021, Lille, France. ⟨hal-03505657⟩
  • Wilfried Heyse, Vincent Vandewalle, Philippe Amouyel, Guillemette Marot, Christophe Bauters, et al.. Support of temporal structure in the statistical analysis of high-throughput proteomic data. Journées de Statistique 2021, Jun 2021, Nice, France. ⟨hal-03525345⟩
  • Matthieu Marbac, Mohammed Sedki, Christophe Biernacki, Vincent Vandewalle. Simultaneous semi-parametric estimation of clustering and regression. 52èmes journées de la SFdS, Jun 2021, Nice / Virtual, France. ⟨10.48550/arXiv.2012.14159⟩. ⟨hal-03515286⟩
  • Valentina Zantedeschi, Matt J Kusner, Vlad Niculae. Learning Binary Decision Trees by Argmin Differentiation. International Conference on Machine Learning, Jun 2021, Virtual, United Kingdom. ⟨10.48550/arXiv.2010.04627⟩. ⟨hal-03399069⟩
  • Christophe Biernacki, Claire Boyer, Gilles Celeux, Julie Josse, Fabien Laporte, et al.. Impact of Missing Data on Mixtures and Clustering. MHC2021 - Mixtures, Hidden Markov Models, Clustering, Jun 2021, Orsay, France. ⟨hal-03505664⟩
  • Wilfried Heyse, Vincent Vandewalle, Philippe Amouyel, Guillemette Marot, Christophe Bauters, et al.. Identification of patients subtypes based on protein expression for prediction of heart failure after myocardial infarction. Printemps de la cardiologie 2021, May 2021, Online, France. pp.213, ⟨10.1016/j.acvdsp.2021.04.159⟩. ⟨hal-03525354⟩
  • Christophe Biernacki, Claire Boyer, Gilles Celeux, Julie Josse, Fabien Laporte, et al.. Dealing with missing data in model-based clustering through a MNAR model. The 14th Professor Aleksander Zeliaś International Conference on Modelling and Forecasting of Socio-Economic Phenomena, May 2021, Zakopane, Poland. ⟨hal-03505659⟩
  • Vincent Cohen-Addad, Benjamin Guedj, Varun Kanade, Guy Rom. Online $k$-means Clustering. AISTATS 2021 - The 24th International Conference on Artificial Intelligence and Statistics, Apr 2021, Virtual, France. ⟨10.48550/arXiv.1909.06861⟩. ⟨hal-02401290⟩
  • Guillaume Braun, Hemant Tyagi, Christophe Biernacki. Clustering multilayer graphs with missing nodes. The 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021), Apr 2021, « Virtual », France. ⟨10.48550/arXiv.2103.03235⟩. ⟨hal-03505636⟩
  • Christophe Biernacki, Matthieu Marbac Lourdelle, Vincent Vandewalle. Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering. MIMO 2021: Workshop on Mixture Models, Apr 2021, Rouen, France. ⟨hal-03505667⟩
  • Sophie Dabo-Niang. Bridging Nonparametric Statistics and Spatial Data Modeling. Stochastic geometry days, Feb 2021, Dunkerque, France. ⟨hal-04464579⟩
  • Soumia Boumeddane, Leila Hamdad, Hamid Haddadou, Sophie Dabo-Niang. Dimensionality Reduction and Bandwidth Selection for Spatial Kernel Discriminant Analysis. 13th International Conference on Agents and Artificial Intelligence, Feb 2021, Online Streaming, New Zealand. pp.278-285, ⟨10.5220/0010269002780285⟩. ⟨hal-03527454⟩
  • Christian Schroeder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele de Martini, Freddie Kalaitzis, et al.. RainBench: Towards Global Precipitation Forecasting from Satellite Imagery. Association for the Advancement of Artificial Intelligence, Feb 2021, Virtual, United Kingdom. ⟨10.48550/arXiv.2012.09670⟩. ⟨hal-03425405⟩
  • Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, et al.. Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound. NeurIPS, 2021, Online, France. ⟨10.5555/3540261.3540296⟩. ⟨hal-03278470⟩
  • Margot Selosse, Isobel Claire Gormley, Julien Jacques, Christophe Biernacki. A bumpy journey: exploring deep Gaussian mixture models. I Can't Believe It's Not Better @ NeurIPS 2020, Dec 2020, Vancouver, Canada. ⟨hal-02985701⟩
  • Sophie Dabo-Niang. The contribution of Mathematical Sciences in supporting robust disease prevention and modelling in Africa. The contribution of Mathematical Sciences in supporting robust disease prevention and modelling in Africa, Dec 2020, Virtual Meeting, South Africa. ⟨hal-03133823⟩
  • Sophie Dabo-Niang. The contribution of Mathematical Sciences in supporting robust disease prevention and modelling in Africa.. NEF (Next Enstein Forum), Dec 2020, Online (south africa), France. ⟨hal-04464569⟩
  • Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson. PAC-Bayesian Bound for the Conditional Value at Risk. NeurIPS 2020, Dec 2020, Vancouver / Virtual, Canada. ⟨hal-02883728⟩
  • Alexandru Amarioarei, Cristian Preda. Scan statistics for some dependent models. Applications.. STATMOD2020 Statistical Modeling with Applications, Nov 2020, Bucharest, Romania. ⟨hal-03141585⟩
  • Sophie Dabo-Niang. Statistical modeling of Spatial Big data and Applications. AIMS South-Africa webinar, Nov 2020, online (South Africa), South Africa. ⟨hal-04464572⟩
  • Wilfried Heyse, Vincent Vandewalle, Philippe Amouyel, Guillemette Marot, Christophe Bauters, et al.. Proteomic signature for early diagnosis of left ventricular remodeling after myocardial infarction. Printemps de la cardiologie 2020, Oct 2020, Grenoble, France. ⟨hal-03124801⟩
  • Quentin Grimonprez, Benjamin Lamoureux, Etienne Goffinet, Pierre Dersin, Christophe Biernacki. Diagnostic automatisé d'aiguillage ferroviaire par apprentissage statistique. Congrès Lambda Mu 22 « Les risques au cœur des transitions » (e-congrès) - 22e Congrès de Maîtrise des Risques et de Sûreté de Fonctionnement, Institut pour la Maîtrise des Risques, Oct 2020, Le Havre (e-congrès), France. ⟨hal-03479596⟩
  • Alain Celisse, Olivier Gauriau, Margot Corréard, Jean-François Bouin, Lennart Priester, et al.. SYSBOOSTER, application of Data Science to surveillance of systems for detection or anticipation of dysfunctions or failures of systems. Congrès Lambda Mu 22 « Les risques au cœur des transitions » (e-congrès) - 22e Congrès de Maîtrise des Risques et de Sûreté de Fonctionnement, Institut pour la Maîtrise des Risques, Oct 2020, Le Havre (e-congrès), France. pp.1-9. ⟨hal-03483963⟩
  • Vincent Vandewalle, Alexandre Caron, Benoît Dervaux. Estimation du nombre de problèmes et détermination du nombre de sujets nécessaires dans les études d’utilisabilité : une approche bayésienne. Journées Biostatistiques 2020 - GDR « Statistiques & santé », Oct 2020, Paris, France. ⟨hal-03118164⟩
  • Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki. Target to Source Coordinate-wise Adaptation of Pre-trained Models. ECML PKDD 2020 - The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent / Virtual, Belgium. ⟨hal-03087284⟩
  • Kento Nozawa, Pascal Germain, Benjamin Guedj. PAC-Bayesian Contrastive Unsupervised Representation Learning. UAI 2020 - Conference on Uncertainty in Artificial Intelligence, Aug 2020, Toronto, Canada. ⟨hal-02401282⟩
  • Stephane Chretien, Benjamin Guedj. Revisiting clustering as matrix factorisation on the Stiefel manifold. LOD 2020 - the Sixth International Conference on Machine Learning, Optimisation and Data Science, Jul 2020, Siena, Italy. ⟨hal-02064396⟩
  • Benjamin Guedj, Juliette Rengot. Non-linear aggregation of filters to improve image denoising. Computing Conference 2020, Jul 2020, London, United Kingdom. ⟨hal-02086856v2⟩
  • Margot Selosse, Julien Jacques, Christophe Biernacki. Co-clustering contraint pour le résumé de matrices document-terme. JdS 2020 - 52èmes Journées de Statistique de la Société Française de Statistique, May 2020, Nice, France. ⟨hal-02490028⟩
  • Guillaume Braun, Christophe Biernacki, Hemant Tyagi. Clustering on multilayer graphs with missing values. Journée de Statistique de la SFdS, May 2020, Nice, France. ⟨hal-03122104⟩
  • Filippo Antonazzo, Christophe Biernacki, Christine Keribin. Estimation of univariate Gaussian mixtures for huge raw datasets by using binned datasets. JDS 2020 - 52ème Journées de Statistiques de la Société Française de Statistique, May 2020, Nice, France. ⟨hal-03082437v2⟩
  • Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain, Mihaly Petreczky. Improved PAC-Bayesian Bounds for Linear Regression. AAAI 2020 - Thirty-Fourth AAAI Conference on Artificial Intelligence, Feb 2020, New York, United States. ⟨hal-02396556⟩
  • Gildas Mazo, Yaroslav Averyanov. Semiparametric mixture models based on copulas. CMStatistics, Dec 2019, London, United Kingdom. ⟨hal-04249019⟩
  • Paul Viallard, Rémi Emonet, Pascal Germain, Amaury Habrard, Emilie Morvant. Interpreting Neural Networks as Majority Votes through the PAC-Bayesian Theory. Workshop on Machine Learning with guarantees @ NeurIPS 2019, Dec 2019, Vancouver, Canada. ⟨hal-02335762⟩
  • Luxin Zhang, Christophe Biernacki, Pascal Germain, Yacine Kessaci. Domain Adaptation from a Pre-trained Source Model: Application on fraud detection tasks. CMStatistics 2019 - 12th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2019, London, United Kingdom. ⟨hal-02399003⟩
  • Zakaria Mhammedi, Peter Grünwald, Benjamin Guedj. PAC-Bayes Un-Expected Bernstein Inequality. NeurIPS 2019, Dec 2019, Vancouver, Canada. ⟨hal-02401295⟩
  • Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette. Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. ⟨hal-02139432v2⟩
  • Alexandre Constantin, Mathieu Fauvel, Stéphane Girard, Serge Iovleff, Yannick Tanguy. Classification de Signaux Multidimensionnels Irrégulièrement Echantillonnés. 2019 - Journée Jeunes Chercheurs MACLEAN du GDR MADICS, Dec 2019, Paris, France. pp.1-2. ⟨hal-02394120⟩
  • Christophe Biernacki. MASSICCC: A SaaS Platform for Clustering and Co-Clustering of Mixed Data. APSEM 2019 ((Apprentissage et SEMantique)) : éco-systèmes pour la science ouverte et recherche par les données, Oct 2019, Toulouse, France. ⟨hal-02399180⟩
  • John Klein, Mahmoud Albardan, Benjamin Guedj, Olivier Colot. Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles. ECML-PKDD, Decentralized Machine Learning at the Edge Workshop, Sep 2019, Wurzburg, Germany. ⟨10.1007/978-3-030-43823-4_26⟩. ⟨hal-01779989⟩
  • Christophe Biernacki, Alexandre Lourme. Unifying Data Units and Models in (Co-)Clustering. CLADAG 2019 - 12th Scientific Meeting Classification and Data Analysis Group, Sep 2019, Cassino, Italy. ⟨hal-02398982⟩
  • Pierre Dias, Emmanuelle Le Barbenchon, Sophie Fantoni-Quinton, Véronique Christophe, Sophie Dabo-Niang, et al.. Les professions et catégories socioprofessionnelles explicatives du retour au travail suite au cancer du sein. 60e Congrès annuel de la société française de psychologie, Sep 2019, Poitiers, France. ⟨hal-03738611⟩
  • V Vandewalle, Camille Ternynck, Guillemette Marot. Linking different kinds of Omics data through a model-based clustering approach. IFCS 2019, Aug 2019, Thessalonique, Greece. ⟨hal-02400525⟩
  • Sophie Dabo-Niang. Education in Developing countries. 62st World Statistics Congress, Aug 2019, Kuala Lumpur, Malaysia. ⟨hal-04464566⟩
  • Christine Keribin, Christophe Biernacki. Co-clustering: model based or model free approaches. ISI WSC 2019 - 62nd ISI World Statistics Congress, Aug 2019, Kuala Lumpur, Malaysia. ⟨hal-02399031⟩
  • Léo Gautheron, Pascal Germain, Amaury Habrard, Gaël Letarte, Emilie Morvant, et al.. Revisite des "random Fourier features" basée sur l'apprentissage PAC-Bayésien via des points d'intérêts. CAp 2019 - Conférence sur l'Apprentissage automatique, Jul 2019, Toulouse, France. ⟨hal-02148600⟩
  • Christophe Biernacki, Matthieu Marbac-Lourdelle, Vincent Vandewalle. Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering. 3rd International Conference on Econometrics and Statistics (EcoSta 2019), Jun 2019, Taichung, Taiwan. ⟨hal-02398999⟩
  • Sophie Dabo-Niang. Quasi-Maximum Likelihood Estimators For Functional Spatial Autoregressive Models. 7th Statistical Meeting of Avignon-Marseille, Jun 2019, Marseille (13), France. ⟨hal-04464565⟩
  • Christophe Biernacki, Margot Corréard. Predictive maintenance solution without additional sensors. Forum TERATEC, Jun 2019, Palaiseau, France. ⟨hal-02399046⟩
  • Fabien Laporte, Christophe Biernacki, Gilles Celeux, Julie Josse. Modèles de classification non supervisée avec données manquantes non au hasard. JdS 2019 - 51e journées de statistique de la Sfds, Jun 2019, Nancy, France. ⟨hal-02398984⟩
  • Christine Keribin, Christophe Biernacki. Le modèle des blocs latents, une méthode régularisée pour la classification en grande dimension. JdS 2019 - 51èmes Journées de Statistique de la SFdS, Jun 2019, Nancy, France. ⟨hal-02391379⟩
  • Gaël Letarte, Emilie Morvant, Pascal Germain. Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior. The 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Japan. ⟨hal-01908555v2⟩
  • Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi. SPONGE: A generalized eigenproblem for clustering signed networks. AISTATS, Apr 2019, Okinawa, Japan. ⟨hal-02379505⟩
  • Christophe Biernacki, Gilles Celeux, Julie Josse, Fabien Laporte. Dealing with missing data in model-based clustering through a MNAR model. CRoNos & MDA 2019 - Meeting and Workshop on Multivariate Data Analysis and Software, Apr 2019, Limassol, Cyprus. ⟨hal-02103347⟩
  • Christophe Biernacki, Matthieu Marbac-Lourdelle, Vincent Vandewalle. Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering. SPSR 2019, Apr 2019, Bucarest, Romania. ⟨hal-02400486⟩
  • Sophie Dabo-Niang. Bridging Functional Data Analysis and Spatial Data Modeling. Environmental Econometric Days, Dec 2018, Nador, Morocco. ⟨hal-04464564⟩
  • Christophe Biernacki, Gilles Celeux, Julie Josse, Fabien Laporte. Dealing with missing data in model-based clustering through a MNAR model. CMStatistics 2018 - 11th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2018, Pise, Italy. ⟨hal-01949120⟩
  • Margot Selosse, Julien Jacques, Christophe Biernacki. Analyzing large matrices of ordinal data. The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), Dec 2018, Pise, Italy. ⟨hal-01949095⟩
  • Matthieu Marbac, Christophe Biernacki, Mohammed Sedki, Vincent Vandewalle. A targeted multi-partitions clustering. The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), Dec 2018, Pise, Italy. ⟨hal-01949111⟩
  • Christine Keribin, Christophe Biernacki. Co-clustering: A versatile way to perform clustering in high dimension. The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), Dec 2018, Pise, Italy. ⟨hal-01949116⟩
  • Sophie Dabo-Niang. Functional linear spatial autoregressive modeling. MATRIX Conference on FDA, Dec 2018, Merlbourne, Australia. ⟨hal-04464558⟩
  • Sophie Dabo-Niang. Cell bio-mechanical phenotype and their biological expressions for Cancer diagnosis. MATRIX Conference on FDA, Dec 2018, Melbourne, Australia. ⟨hal-04464560⟩
  • Christophe Biernacki, Vincent Vandewalle, Matthieu Marbac. Gaussian-based visualization of Gaussian and non-Gaussian model-based clustering. 23rd International Conference on Computational Statistics, Aug 2018, Iasi, Romania. ⟨hal-01949127⟩
  • Vincent Vandewalle, Matthieu Marbac. A tractable multi-partitions clustering. COMPSTAT 2018 - 23rd International Conference on Computational Statistics, Aug 2018, Iasi, Romania. ⟨hal-01956922⟩
  • Adrien Ehrhardt, Vincent Vandewalle, Christophe Biernacki, Philippe Heinrich. Supervised multivariate discretization and levels merging for logistic regression. 23rd International Conference on Computational Statistics, Aug 2018, Iasi, Romania. ⟨hal-01949128⟩
  • Sophie Dabo-Niang. Spatial nearest neighbor classification and prediction. Application to fisheries data in West African coast. First International Conference on Biomathematics, Jun 2018, Thies (Senegal), Senegal. ⟨hal-04464554⟩
  • Christophe Biernacki, Benjamin Auder, Gilles Celeux, Josselin Demont, Florent Langrognet, et al.. MASSICCC: A SaaS Platform for Clustering and Co-Clustering of Mixed Data. Workshop MixStatSeq: “Mixture models: Theory and applications”, Jun 2018, Paris, France. ⟨hal-01949175⟩
  • Serge Iovleff, Seydou Nourou Sylla. blockcluster, simerge and C++ with R. Mixture Models: Theory and Applications, Jun 2018, Paris, France. ⟨hal-01884822⟩
  • Christophe Biernacki. Model selection theory and considerations in large scale scenarios. Research Summer School on Statistics for Data Science – S4D, Jun 2018, Caen, France. ⟨hal-01949168⟩
  • Christophe Biernacki. Model-based clustering and co-clusteringin high-dimensional scenarios. Research Summer School on Statistics for Data Science – S4D, Jun 2018, Caen, France. ⟨hal-01949167⟩
  • Anne-Lise Bedenel, Laetitia Jourdan, Christophe Biernacki. Probability estimation by an adapted genetic algorithm in web insurance. LION 12 - Learning and Intelligent Optimization Conference, Jun 2018, Kalamata, Greece. ⟨hal-01885117⟩
  • Sophie Dabo-Niang. Binary Functional Linear Models in a Stratified Sampling setting. SLDS/Nonparametric Statistics, Jun 2018, New York (NY), United States. ⟨hal-04464557⟩
  • Margot Selosse, Julien Jacques, Christophe Biernacki. Co-clustering de données textuelles et continues. SFdS 2018 - 50èmes Journées de Statistique, May 2018, Saclay, France. ⟨hal-01797493⟩
  • Christophe Biernacki. Introduction to cluster analysis and classification: Formalizing clustering. Summer School on Clustering, Data Analysis and Visualization of Complex Data, May 2018, Catania, Italy. ⟨hal-01810379⟩
  • Christophe Biernacki. Introduction to cluster analysis and classification: Evaluating clustering. Summer School on Clustering, Data Analysis and Visualization of Complex Data, May 2018, Catania, Italy. ⟨hal-01810377⟩
  • Christophe Biernacki. Introduction to cluster analysis and classification: Performing clustering. Summer School on Clustering, Data Analysis and Visualization of Complex Data, May 2018, Catania, Italy. ⟨hal-01810376⟩
  • C Biernacki. Going further in cluster analysis and classification: Bi-clustering and co-clustering. Summer School on Clustering, Data Analysis and Visualization of Complex Data, May 2018, Catania, Italy. ⟨hal-01810380⟩
  • Anne-Lise Bedenel, Laetitia Jourdan, Christophe Biernacki. Estimation de probabilités par algorithme génétique. ROADEF2018, Feb 2018, Lorient, France. ⟨hal-01868195⟩
  • Vincent Vandewalle, Thierry Mottet, Matthieu Marbac. Model-based variable clustering. CMStatistics/ERCIM 2017 - 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2017, London, United Kingdom. pp.1-19. ⟨hal-01691421⟩
  • Pierre Dias, Isabelle Milhabet, Sophie Fantoni-Quinton, Sophie Dabo-Niang, Véronique Christophe. Importance des catégories socioprofessionnelles dans le rapport cognitif et émotionnel au cancer du sein et à sa prise en charge. SFP 2017 - 58ème congrès annuel de la société française de psychologie, Aug 2017, Nice, France. ⟨hal-01943498⟩
  • Vincent Vandewalle. Simultaneous dimension reduction and multi-objective clustering . IFCS 2017 - Conference of the International Federation of Classification Societies, Aug 2017, Tokyo, Japan. pp.1-29. ⟨hal-01662271⟩
  • Faicel Chamroukhi, Christophe Biernacki. Model-Based Co-Clustering of Multivariate Functional Data. ISI 2017 - 61st World Statistics Congress, Jul 2017, Marrakech, Morocco. ⟨hal-01653782⟩
  • Pierre Dias, Isabelle Milhabet, Sophie Fantoni-Quinton, Sophie Dabo-Niang, Véronique Christophe. Optimisme, qualité de vie et capacités cognitives dans le parcours professionnel des femmes atteintes du cancer du sein. 10ème Congrès International de Psychologie Sociale Appliquée, Jul 2017, Lille, France. ⟨hal-03738617⟩
  • Serge Iovleff, Mathieu Fauvel, Stéphane Girard, Cristian Preda, Vincent Vandewalle. Mixture Models with Missing data Classication of Satellite Image Time Series: QUALIMADOS: Atelier Qualité des masses de données scientiques. Journées Science des Données MaDICS 2017, Jun 2017, Marseille, France. pp.1-60. ⟨hal-01649206⟩
  • Christophe Biernacki, Alexandre Lourme. Introduction Units in model-based clustering Units in model-based co-clustering Conclusion Unifying Data Units and Models in (Co-)Clustering. 2017 - Classification Society Conference, Jun 2017, Santa Clara, United States. pp.1-38. ⟨hal-01653896⟩
  • Vincent Vandewalle, Christophe Biernacki. Survival analysis with complex covariates: a model-based clustering preprocessing step. IEEE PHM 2017, Jun 2017, Dallas, United States. ⟨hal-01667588⟩
  • Christophe Biernacki, Alexandre Lourme. Units in model-based clustering Units in model-based co-clustering . 24e rencontres de la Société Francophone de Classification, Jun 2017, Lyon, France. ⟨hal-01653899⟩
  • Adrien Ehrhardt, Christophe Biernacki, Vincent Vandewalle, Philippe Heinrich, Sébastien Beben. Réintégration des refusés en Credit Scoring. 49e Journées de Statistique, May 2017, Avignon France. ⟨hal-01653767⟩
  • Maxime Brunin, Christophe Biernacki, Alain Celisse. Compromis précision - temps de calcul appliqué au problème de régression linéaire. 2017 - 49e Journées de Statistique de la SFdS, May 2017, Avignon, France. pp.1-6. ⟨hal-01653754⟩
  • Maxime Baelde, Christophe Biernacki, Raphaël Greff. Classification de signaux audio en temps-réel par un modèle de mélanges d'histogrammes. JDS 2017 - 49e Journées de Statistiques, May 2017, Avignon, France. ⟨hal-01592496⟩
  • Vincent Vandewalle, Christophe Biernacki. Dealing with missing data through mixture models. ICB Seminars 2017 - 154th Seminar on ”Statistics and clinical practice”, May 2017, Varsovie, Poland. pp.1-3. ⟨hal-01667614⟩
  • Christophe Biernacki, Alexandre Lourme, Maxime Brunin, Alain A. Celisse. About Two Disinherited Sides of Statistics: Data Units and Computational Saving. Statlearn 2017, Apr 2017, Lyon, France. pp.1-56. ⟨hal-01665905⟩
  • Christophe Biernacki. About Two Disinherited Sides of Statistics: Data Units and Computational Saving. StatLearn 2017 - 8th Workshop and tutorials on challenging issues in statistical learning, Apr 2017, Lyon, France. ⟨hal-01653889⟩
  • Maxime Baelde, Christophe Biernacki, Raphaël Greff. A mixture model-based real-time audio sources classification method. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP2017, Mar 2017, New Orleans, United States. ⟨hal-01420677v2⟩
  • Christophe Biernacki, Maxime Brunin, Alain Celisse. Computation time/accuracy trade-off and linear regression. 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016, ERCIM 2016), Dec 2016, Séville, Spain. ⟨hal-01420659⟩
  • Hiba Alawieh, Nicolas Wicker, Christophe Biernacki. Projection under pairwise distance control. 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016, ERCIM 2016), Dec 2016, Séville, Spain. ⟨hal-01420681⟩
  • Christophe Biernacki. BigStat for Big Data: Big Data clustering through the BigStat SaaS platform. Journée scientifique « Big Data & Data science », Oct 2016, Tunis, Tunisia. ⟨hal-01420650⟩
  • Christophe Biernacki, Alexandre Lourme. Unifying Data Units and Models in Statistics: Focus on (Co-)Clustering. Workshop on Model-based Clustering and Classification (MBC2), Sep 2016, Catania, Italy. ⟨hal-01420657⟩
  • Julien Jacques, Christophe Biernacki. Model-Based Co-clustering for Ordinal Data. Working Group on Model-Based Clustering Summer Session, Jul 2016, Paris, France. ⟨hal-01420648⟩
  • Christophe Biernacki, Gwenaelle Castellan, Stephane Chretien, Benjamin Guedj, Vincent Vandewalle. Pitfalls in Mixtures from the Clustering Angle. Working Group on Model-Based Clustering Summer Session, Jul 2016, Paris, France. ⟨hal-01419755⟩
  • Julien Jacques, Cyril Ruckebusch. Co-clustering for hyperspectral images.. 6th International Conference in Spectral Imaging, Jul 2016, Chamonix, France. ⟨hal-01383918⟩
  • Anne-Lise Bedenel, Christophe Biernacki, Laetitia Jourdan. Appariement de descripteurs évoluant en temps : Application à la comparaison d'assurance en ligne. 48èmes Journées des Statistiques Française, May 2016, Montpellier, France. ⟨hal-01381766⟩
  • Maxime Brunin, Christophe Biernacki, Alain Celisse. Compromis précision-temps de calcul appliqué au problèeme de détection de ruptures. 48èmes Journées de Statistique de la SFdS, May 2016, Montpellier, France. ⟨hal-01420669⟩
  • Julien Jacques, Christophe Biernacki. Model-based co-clustering for ordinal data. 48èmes Journées de Statistique organisée par la Société Française de Statistique, 2016, Montpellier, France. ⟨hal-01383927⟩
  • Cristian Preda. Regression with categorical functional data. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2015, Londres, United Kingdom. ⟨hal-01251289⟩
  • Christophe Biernacki, Thibault Deregnaucourt, Vincent Kubicki. Model-based clustering with mixed/missing data using the new software MixtComp. CMStatistics 2015 (ERCIM 2015), Dec 2015, London, United Kingdom. ⟨hal-01249829⟩
  • Vincent Vandewalle, C Biernacki. An efficient SEM algorithm for Gaussian Mixtures with missing data. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2015, Londres, United Kingdom. ⟨hal-01242588⟩
  • Vincent Vandewalle, Cristina Cozma, Cristian Preda. Clustering categorical functional data Application to medical discharge letters. 8th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2015, Londres, France. ⟨hal-01251284⟩
  • Julien Jacques. The discriminative functional mixture model for a comparative analysis of bike sharing systems. CMStatistics 2015, 8th International Conference of the ERCIM working group on Computational and Methodological Statistics, Dec 2015, London, United Kingdom. ⟨hal-01241254⟩
  • Md Abul Hasnat, Julien Velcin, Stéphane Bonnevay, Julien Jacques. Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study. Intelligent Data Analysis, Oct 2015, Saint Etienne, France. ⟨hal-01203561⟩
  • C Biernacki. Clustering: evolution of methods to meet new challenges. Journée thématique Clustering, Orange Labs, Oct 2015, Issy Les Moulineaux, France. ⟨hal-01253394⟩
  • Maxime Brunin, Christophe Biernacki, Alain Celisse. Compromis précision-temps de calcul et détection de ruptures. 6ème Rencontres des Jeunes Statisticiens, Aug 2015, Le Teich, France. ⟨hal-01238276⟩
  • Quentin Grimonprez, Alain Celisse, Guillemette Marot. Sélection de groupes de variables corrélées par classification ascendante hiérarchique et group-lasso. Sixièmes rencontres des jeunes statisticiens, SFdS, Aug 2015, Le Teich, France. ⟨hal-01238253⟩
  • Sophie Dabo-Niang. Spatial Risk estimation and Applications. African Women in Mathematics Association Conference, Jul 2015, Navaisha, Kenya. ⟨hal-01206866⟩
  • Julien Jacques. Clustering multivariate ranking data. 60th World Statistics Congress – ISI2015, Jul 2015, Rio de Janeiro, Brazil. ⟨hal-01241256⟩
  • Serge Iovleff. Rtkpp: Un package pour faire l'interface entre R et la bibliothèque STK++. Quatrièmes Rencontres R, Jun 2015, Grenoble, France. ⟨hal-01253792⟩
  • Christophe Biernacki. MixtComp software: Model-based clustering/imputation with mixed data, missing data and uncertain data. MISSDATA 2015, Jun 2015, Rennes, France. ⟨hal-01253393⟩
  • Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Model-based clustering of categorical data by relaxing conditional independence. Classification Society Meeting, Mc Master University, Jun 2015, Hamilton, Ontario, Canada. ⟨hal-01238334⟩
  • Florence Loingeville, Julien Jacques, Cristian Preda, Philippe Guarini, Olivier Molinier. Modèle Linéaire Généralisé Hiérarchique Gamma-Poisson à 3 facteurs aléatoires - Application au contrôle de qualité. 47èmes Journées de Statistique, Société Française de Statistique, Jun 2015, Lille, France. ⟨hal-01152840⟩
  • Quentin Grimonprez, Alain Celisse, Guillemette Marot. Sélection de groupes de variables corrélées par classification ascendante hiérarchique et group-lasso. 47èmes Journées de Statistique, Jun 2015, Lille, France. ⟨hal-01238248⟩
  • Sophie Dabo-Niang. Spatial risk estimation and application to biomedical data. Tunisian Association of Statistics and Applications Conference, Mar 2015, Hammamet, Tunisia. ⟨hal-01206865⟩
  • Charles Bouveyron, Julien Jacques. Un algorithme EM pour une version parcimonieuse de l’analyse en composantes principales probabiliste. EGC 2015 - 15ème conférence internationale sur l'extraction et la gestion des connaissances, Jan 2015, Luxembourg, Luxembourg. ⟨hal-01241262⟩
  • Charles Bouveyron, Julien Jacques. funFEM: an R package for functional data clustering. Quatrième Rencontres R, 2015, Grenoble, France. ⟨hal-01383951⟩
  • Sophie Dabo-Niang. More efficient kernel functional spatial regression estimation with autocorrelated errors. ERCIM, Dec 2014, Pise, Italy. ⟨hal-01206861⟩
  • Julien Jacques, Christophe Biernacki. Clustering multivariate ordinal data. ERCIM 2014 - The 7th International Conference of the ERCIM working group on Computational and Methodological Statistics, Dec 2014, Pisa, Italy. ⟨hal-01100630⟩
  • Sophie Dabo-Niang, Serge Guillas, Camille Ternynck. Efficiency in functional nonparametric models withautoregressive errors. ERCIM, Dec 2014, Pise, Italy. ⟨hal-01094762⟩
  • Sophie Dabo-Niang. Streamflow forecasting using functional regression. STAHY 14, Nov 2014, Abu-Dhabi, United Arab Emirates. ⟨hal-01206858⟩
  • Sophie Dabo-Niang. Advances in spatial epidemiological modeling. Second conference of the International Society for NonParametric Statistics (ISNPS), Jul 2014, Cadiz, Spain. ⟨hal-01206857⟩
  • Sophie Dabo-Niang. Statistical modeling of spatial functional data: application to biomedical data. ISNPS conférence, Jun 2014, Cadiz, Estonia. ⟨hal-01094757⟩
  • Clément Théry, Christophe Biernacki, Gaétan Loridant. CorReg : Préselection de variables en régression linéaire avec fortes corrélations. 46° journées de statistiques, SFDS, Jun 2014, Rennes, France. ⟨hal-01092964⟩
  • Florence Loingeville, Julien Jacques, Cristian Preda, Philippe Guarini, Olivier Molinier. Analyse de variance à 2 facteurs imbriqués sur données de comptage - Application au contrôle de qualité. 46e Journées de Statistique, Jun 2014, Rennes, France. 6 p. ⟨hal-00986457⟩
  • Quentin Grimonprez, Alain Celisse, Guillemette Marot. Analyse multi-patients de données génomiques. 46e Journées de Statistique, SFDS, Jun 2014, Rennes, France. ⟨hal-01091476⟩
  • Christophe Biernacki, Gwénaelle Castellan. A Data-Driven Bound on Covariance Matrices for Avoiding Degeneracy in Multivariate Gaussian Mixtures. 46° Journées de Statistique, Jun 2014, Rennes, France. ⟨hal-01099080⟩
  • Jérémie Kellner, Alain Celisse. High-dimensional test for normality. Journées des Statistiques, Jun 2014, Rennes, France. ⟨hal-01091513⟩
  • Loïc Yengo, Julien Jacques, Christophe Biernacki. Variable Clustering in High Dimensional Probit Regression Models.. 46èmes Journées de Statistique organisée par la Société Française de Statistique, 2014, Rennes, France. ⟨hal-01100633⟩
  • Sophie Dabo-Niang. Exploring spatial non-parametric estimations.. Marrakesh International Conference on Probability and Statistics, Dec 2013, Marrakech, Morocco. ⟨hal-00943642⟩
  • Julien Jacques. Model-based clustering for multivariate functional data. ERCIM 2013, 6th International Conference of the ERCIM working group on Computational and Methodological Statistics, Dec 2013, London, United Kingdom. ⟨hal-00943732⟩
  • Julien Jacques. Clustering multivariate ordinal data. 20th Summer Working Group on Model-Based Clustering of the Department of Statistics of the University of Washington, Jul 2013, Bologna, Italy. ⟨hal-00943733⟩
  • Julie Hamon, Clarisse Dhaenens, Gaël Even, Julien Jacques. Feature selection in high dimensional regression problems for genomic. Tenth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, Jun 2013, Nice, France. ⟨hal-00839705⟩
  • Sophie Dabo-Niang. Spatial Data Analysis. 8th International conference of Sousse ISG, Sousse, May 2013, Sousse, Tunisie. ⟨hal-00943641⟩
  • Julie Hamon, Clarisse Dhaenens, Gaël Even, Julien Jacques. Modèles mixtes en génétique animale : sélection de variables par optimisation combinatoire. 45ème Journées De Statistiques, May 2013, Toulouse, France. ⟨hal-00839707⟩
  • Quentin Grimonprez, Julien Jacques, Christophe Biernacki. Rankclust: An R package for clustering multivariate partial rankings. Deuxième Rencontres R, 2013, France. ⟨hal-00944005⟩
  • Julie Hamon, Clarisse Dhaenens, Gaël Even, Julien Jacques. Feature selection for high dimensional regression using local search and statistical criteria. International Conference on Metaheuristics and Nature Inspired Computing, Oct 2012, Port El-Kantaoui, Tunisia. ⟨hal-00749708v2⟩
  • Parmeet Bathia, Serge Iovleff, Gérard Govaert. Software for co-clustering of binary data. 44e Journées de Statistique, SFdS, May 2012, Bruxelles, Belgium. pp.1-6. ⟨hal-00933384⟩
  • Julie Hamon, Clarisse Dhaenens, Julien Jacques, Gaël Even. Coopération entre Optimisation Combinatoire et Statistiques pour la Sélection animale. 13e congrès annuel de la Société française de Recherche Opérationnelle et d'Aide à la Décision, Apr 2012, Angers, France. ⟨hal-00749727v2⟩
  • Julien Jacques, Cristian Preda. Clustering multivariate functional data. COMPSTAT 2012, 2012, Cyprus. pp.353-366. ⟨hal-00943745⟩
  • Julien Jacques. Generative models for classification and clustering of spectroscopic data. Chimiométrie 2012, 2012, France. ⟨hal-00944002⟩
  • Julien Jacques, Cristian Preda. Functional data clustering using density approximation. 44èmes Journées de Statistique organisée par la Société Française de Statistique, 2012, Belgium. ⟨hal-00944008⟩
  • Julien Jacques, Cristian Preda. Curves clustering with approximation of the density of functional random variables. ESANN 2012, 2012, Belgium. pp.459--464. ⟨hal-00944001⟩
  • Julie Hamon, Clarisse Dhaenens, Julien Jacques, Gaël Even. Combining combinatorial optimization and statistics to mine high-throughput genotyping data. JOBIM - Journées Ouvertes Biologie Informatique Mathématiques, Jun 2011, Paris, France. ⟨hal-00639533⟩
  • Charles Bouveyron, Julien Jacques. Model-based Clustering of Time Series in Group-specific Functional Subspaces. 12th annual conference of the International Federation of Classification Societies, 2011, Frankfurt, Germany. ⟨hal-00707054⟩
  • Charles Bouveyron, Julien Jacques. Adaptive mixtures of regressions : improving predictive inference when population has changed. 4th conference on Computational Methods for Modelling and Learning in Social and Human Sciences (MASHS'10), 2010, Lille, France. ⟨hal-00707048⟩
  • Cristian Preda, Gilbert Saporta, Ben Hadj Mbarek. PLS Regression with Functional Predictor and Missing Data. PLS'09,6th Int. Conf. on Partial Least Squares and Related Methods, Sep 2009, Pékin, China. pp.17-22. ⟨hal-01125705⟩
  • Charles Bouveyron, Julien Jacques. Modèles adaptatifs pour les mélanges de régressions. 41èmes Journées de Statistique de la Société Française de Statistique, 2009, Bordeaux, France. ⟨hal-00707061⟩
  • Cristian Preda, Gilbert Saporta, Caroline Leveder. PLS classification of functional data. PLS'05 4th Int. Symp. on PLS and related methods, Aug 2005, Barcelone, Spain. ⟨hal-01125057⟩
  • Cristian Preda, Gilbert Saporta. PLS discriminant analysis for functional data. ASMDA'05 XIth Int. Symp. on Applied Stochastic Models and Data Analysis, May 2005, Brest, France. pp.653-661. ⟨hal-01125040⟩
  • Isabelle Thomas, Christophe Biernacki, Pierre Frankhauser. The morphology built-up landscapes : a classification of fractal indices. International Workshop "the role of open space and green amenities in the residential move from cities", colloque organisé dans le cadre de l'ACI Espace et Territoire, 2005, Dijon, France. ⟨hal-00880970⟩
  • Cristian Preda, Gilbert Saporta. Régression PLS sur un processus stochastique. 33 èmes Journées de Statistique, May 2001, Nantes, France. ⟨hal-01124653⟩

Poster communications17 documents

  • Antoine Picard-Weibel, Gabriel Capson-Tojo, Benjamin Guedj, Roman Moscoviz. VarBUQ: Bayesian uncertainty quantification for anaerobic digestion models. 18th IWA World Conference on Anaerobic Digestion, Jun 2024, Istanbul, Turkey. ⟨hal-04644598⟩
  • Wilfried Heyse, Vincent Vandewalle, Philippe Amouyel, Guillemette Marot, Christophe Bauters, et al.. Proteomic signature for early diagnosis of left ventricular remodeling after myocardial infarction. Printemps de la Cardiologie 2020, Oct 2020, Grenoble / Virtual, France. ⟨hal-03124837⟩
  • Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette. Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks. ML with guarantees -- NeurIPS 2019 workshop, Dec 2019, Vancouver, Canada. ⟨hal-02482354⟩
  • Alexandre Constantin, Mathieu Fauvel, Stéphane Girard, Serge Iovleff. Classification de Signaux Multidimensionnels Irrégulièrement Échantillonnés. GRETSI 2019 - 27e Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France. ⟨hal-02276255⟩
  • Fabien Laporte, Christophe Biernacki, Gilles Celeux, Julie Josse. Model-based clustering with missing not at random data. Missing mechanism. Working Group on Model-Based Clustering Summer Session, Jul 2019, Vienne, Austria. ⟨hal-02398987⟩
  • Alexandre Constantin, Mathieu Fauvel, Stéphane Girard, Serge Iovleff. Supervised classification of multidimensional and irregularly sampled signals. Statlearn 2019 - Workshop on Challenging problems in Statistical Learning, Apr 2019, Grenoble, France. pp.1. ⟨hal-02092347⟩
  • Asmita Poddar, Serge Iovleff, Florent Latimier. Estimation of Parsimonious Covariance Models for Gaussian Matrix Valued Random Variables for Multi-Dimensional Spectroscopic Data. WiML 2018 - 13th Women in Machine Learning workshop, Dec 2018, Montreal, Canada. 2018. ⟨hal-01954769⟩
  • Margot Selosse, Julien Jacques, Christophe Biernacki. mixedClust: an R package for mixed data classiication, clustering and co-clustering. 25th Summer Session Working Group on Model-Based Clustering, Jul 2018, Ann Arbor, United States. ⟨hal-01949171⟩
  • Mamadou Ndiaye, Mohamed-Salem Ahmed, Abdoulaye Sarré, Ahmed Taleb, Salaheddine El Ayoubi, et al.. Unsupervised functional classification applied on high resolution oceanographic data in Canaries Current Large Marine Ecosystem : toward fine scale analysis. Brehmer, Patrice. ICAWA : International Conference AWA, Apr 2018, Lanzarote, Spain. SRFC/CSRP; IRD, pp.148, 2019. ⟨hal-02780072⟩
  • Adrien Ehrhardt, Christophe Biernacki, Vincent Vandewalle, Philippe Heinrich. Model-based multivariate discretization for logistic regression. Data Science Summer School, Aug 2017, Paris, France. 2017. ⟨hal-02075126⟩
  • Vincent Vandewalle. Simultaneous dimension reduction and multi-objective clustering. Statlearn’17, Lyon: 4-7 april 2017, Apr 2017, Lyon, France. ⟨hal-03183333⟩
  • Maxime Baelde, Christophe Biernacki, Raphaël Greff. Real-time Audio Classification based on Mixture Models. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2017), Mar 2017, La Nouvelle-Orléans, United States. . ⟨hal-01481934⟩
  • Pierre Dias, Isabelle Milhabet, Sophie Fantoni-Quinton, Sophie Dabo-Niang, Véronique Christophe. Parcours professionnel et perception de la qualité de vie chez les femmes atteintes d'un cancer. 8ème Colloque du Cancéropôle PACA, Mar 2017, Marseille, France. ⟨hal-01943505⟩
  • Vincent Vandewalle, Cristian Preda. Clustering categorical functional data Application to medical discharge letters Medical discharge letters. Working Group on Model-Based Clustering Summer Session: Paris, July 17-23, 2016, Jul 2016, Paris, France. 2016. ⟨hal-01424950⟩
  • Quentin Grimonprez, Alain Celisse, Guillemette Marot. Variable selection by exploiting correlation. XXVIIIth International Biometric Conference, Jul 2016, Victoria, Canada. . ⟨hal-04031191⟩
  • Quentin Grimonprez, Alain Celisse, Guillemette Marot. Analysis of genomic markers: Make it easy with the R package MPAgenomics. SMPGD 2014, Jan 2014, Paris, France. , 2014. ⟨hal-01091543⟩
  • Christophe Biernacki, Vincent Vandewalle. Label switching in mixtures. Working Group on Model-Based Clustering Summer Session: Glasgow, July 17-23, 2011, Jul 2011, Glasgow, United Kingdom, France. ⟨hal-03183299⟩

Books1 document

  • Sophie Dabo-Niang, Solym Manou-Abi, Jean-Jacques Salone (Dir.). Mathematical Modeling and Study of Random or Deterministic Phenomena. Wiley, 2020, 9781786304544. ⟨hal-02334997⟩

Book sections14 documents

  • Jacqueline Etay, Colette Guillopé, Sophie Trélat, Isabelle Vauglin, Anne Schuhl, et al.. Vécu des femmes et des hommes travaillant dans le milieu académique français pendant le confinement de 2020. Amélie Keyser-Verreault (dir); Florence Pasche-Guignard (dir). Maternités académiques et pandémie : lieux, temps et réseaux entre pressions et résiliences., Presses de l'Université du Québec, 2023, 9782760558267. ⟨hal-04528531⟩
  • Salsabil Yacour, Sophie Dabo-Niang, Ahmed El Ghini. Investigating Environmental Kuznets Curve for CO$$_{2}$$ Emissions: A Cointegration Analysis for Morocco. Proceedings of the Sixteenth International Conference on Management Science and Engineering Management – Volume 2, 145, Springer International Publishing, pp.506-525, 2022, Lecture Notes on Data Engineering and Communications Technologies, ⟨10.1007/978-3-031-10385-8_36⟩. ⟨hal-03861889⟩
  • Filippo Antonazzo, Christophe Biernacki, Christine Keribin. A binned technique for scalable model-based clustering on huge datasets. Book of Short Papers of the 5th international workshop on Models and Learning for Clustering and Classification MBC2 2020, Catania, Italy, pp.11-16, 2021. ⟨hal-03097284v2⟩
  • Sophie Dabo-Niang, Camille Ternynck, Baba Thiam, Anne-Françoise Yao. Non-parametric statistical analysis of spatially distributed functional data. Ramon Giraldo; Jorge Mateu. Geostatistical Functional Data Analysis, Wiley, 2021, 978-1-119-38784-8. ⟨10.1002/9781119387916.ch8⟩. ⟨hal-01812238⟩
  • Mohamed-Salem Ahmed, Laurence Broze, Sophie Dabo-Niang, Zied Gharbi. Quasi-maximum Likelihood Estimators for Functional Linear Spatial Autoregressive Models. Ramon Giraldo; Jorge Mateu. Geostatistical Functional Data Analysis: Theory and Methods, Wiley, 2021, Wiley Series in Probability and Statistics, 978-1-119-38784-8. ⟨10.1002/9781119387916.ch12⟩. ⟨hal-01810819⟩
  • Vincent Vandewalle, Cristian Preda, Sophie Dabo-Niang. Clustering spatial functional data. J. Mateu and R. Giraldo. Geostatistical Functional Data Analysis : Theory and Methods. Editors: Jorge Mateu, Ramon Giraldo, 1, Wiley, 2021, Geostatistical Functional Data Analysis : Theory and Methods, ⟨10.1002/9781119387916.ch7⟩. ⟨hal-01948934⟩
  • Christophe Biernacki. Mixture models. J-J. Droesbeke; G. Saporta; C. Thomas-Agnan. Choix de modèles et agrégation, Technip, 2017, 9782710811770. ⟨hal-01252671⟩
  • Christophe Biernacki, Cathy Maugis. High-dimensional clustering. Choix de modèles et agrégation, Sous la direction de J-J. DROESBEKE, G. SAPORTA, C. THOMAS-AGNAN Edition: Technip., , 2017, 9782710811770. ⟨hal-01252673v2⟩
  • Julien Jacques, Didier Fraix-Burnet. Linear Regression in High Dimension and/or for Correlated Inputs. D; Fraix-Burnet; D. Valls-Gabaud. Statistics for Astrophysics Methods and Applications of the Regression, 66, EDP Sciences, pp.149-165, 2014, EAS Publications Series, 978-2-7598-1729-0. ⟨10.1051/eas/1466011⟩. ⟨hal-01115109⟩
  • Farid Beninel, Christophe Biernacki, Charles Bouveyron, Julien Jacques, Alexandre Lourme. PARAMETRIC LINK MODELS FOR KNOWLEDGE TRANSFER IN STATISTICAL LEARNING. Dragan Ilic. Knowledge Transfer: Practices, Types and Challenges, Nova Publishers, 2012. ⟨hal-00942660⟩
  • Fabien Pamelard, Gaël Even, Costin Apostol, Cristian Preda, Clarisse Dhaenens, et al.. PASE: a web-based platform for peptide / protein microarray experiments. M. Cretich. Peptide Microarrays, 570, Humana Press, pp.413-430, 2009, Methods in Molecular Biology. ⟨hal-00835040⟩
  • Julien Jacques, Christophe Biernacki. Classement de données binaires lorsque les populations d'apprentissage et de test sont différentes. Data Mining et apprentissage statistique : application en assurance, banque et marketing, Cépadues, pp.109-130, 2007, Revue des Nouvelles Technologies de l'Information, 9782854287943. ⟨hal-00851019⟩
  • Cristian Preda, Gilbert Saporta. PCR and PLS for Clusterwise Regression on Functional Data. Brito P., Bertrand P., Cucumel G., De Carvalho F. (Eds.). Selected Contributions in Data Analysis and Classification, Springer, pp.589-598, 2007, 978-3-540-73558-8. ⟨hal-01125361⟩
  • Cristian Preda, Gilbert Saporta. PLS Approach for clusterwise linear regression on functional data. D.Banks. Classification, Clustering, and Data Mining Applications, Springer; Springer Berlin Heidelberg, pp.167-176, 2004, Classification, Clustering and Data Mining Applications, ⟨10.1007/978-3-642-17103-1_17⟩. ⟨hal-01124925⟩

Patents2 documents

  • Morgane Pierre-Jean, Guillemette Marot, Guillem Rigaill, Alain Celisse. Détection de ruptures à partir de méthodes à noyaux. United Kingdom, Patent n° : 0000000. 2013. ⟨hal-00943423⟩
  • Morgane Pierre-Jean, Guillemette Marot, Rigaill Guillem, Alain Celisse. Change-point detection with kernel methods : application to DNA copy number signals. France, Patent n° : 00000000000000. 2013. ⟨hal-00943413⟩

Other publications1 document


Preprints, Working Papers77 documents

  • Antoine Picard-Weibel, Gabriel Capson-Tojo, Benjamin Guedj, Roman Moscoviz. Bayesian Uncertainty Quantification for Anaerobic Digestion models. 2024. ⟨hal-04592670⟩
  • Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi. Closed-form Filtering for Non-linear Systems. 2024. ⟨hal-04458936⟩
  • Paul Viallard, Maxime Haddouche, Umut Şimşekli, Benjamin Guedj. Tighter Generalisation Bounds via Interpolation. 2024. ⟨hal-04456925⟩
  • Maxime Haddouche, Paul Viallard, Umut Şimşekli, Benjamin Guedj. A PAC-Bayesian Link Between Generalisation and Flat Minima. 2024. ⟨hal-04455639⟩
  • Etienne Krönert, Dalila Hattab, Alain Celisse. Breakpoint based online anomaly detection. 2024. ⟨hal-04440349⟩
  • Hemant Tyagi, Denis Efimov. Learning linear dynamical systems under convex constraints. 2024. ⟨hal-04394297⟩
  • Ernesto Araya Valdivia, Hemant Tyagi. Graph Matching via convex relaxation to the simplex. 2024. ⟨hal-04394319⟩
  • Eugenio Clerico, Benjamin Guedj. A note on regularised NTK dynamics with an application to PAC-Bayesian training. 2023. ⟨hal-04358260⟩
  • Aude Sportisse, Matthieu Marbac, Fabien Laporte, Gilles Celeux, Claire Boyer, et al.. Accompanying note : Model-based Clustering with Missing Not At Random Data. 2023. ⟨hal-04358192⟩
  • Aude Sportisse, Matthieu Marbac, Fabien Laporte, Gilles Celeux, Claire Boyer, et al.. Model-based Clustering with Missing Not At Random Data. 2023. ⟨hal-03494674v4⟩
  • Etienne Krönert, Alain Célisse, Dalila Hattab. FDR control for Online Anomaly Detection. 2023. ⟨hal-04321622⟩
  • Issam-Ali Moindjié, Cristian Preda, Sophie Dabo-Niang. Fusion regression methods with repeated functional data. 2023. ⟨hal-04176783v2⟩
  • Antonin Schrab, Wittawat Jitkrittum, Zoltán Szabó, Dino Sejdinovic, Arthur Gretton. Discussion of `Multiscale Fisher's Independence Test for Multivariate Dependence'. 2023. ⟨hal-03709218⟩
  • Ilmun Kim, Antonin Schrab. Differentially Private Permutation Tests: Applications to Kernel Methods. 2023. ⟨hal-04276141⟩
  • Felix Biggs, Antonin Schrab, Arthur Gretton. MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting. 2023. ⟨hal-04156329v2⟩
  • Pierre Jobic, Maxime Haddouche, Benjamin Guedj. Federated Learning with Nonvacuous Generalisation Bounds. 2023. ⟨hal-04260486⟩
  • Fredrik Hellström, Benjamin Guedj. Comparing Comparators in Generalization Bounds. 2023. ⟨hal-04259101⟩
  • Fredrik Hellström, Giuseppe Durisi, Benjamin Guedj, Maxim Raginsky. Generalization Bounds: Perspectives from Information Theory and PAC-Bayes. 2023. ⟨hal-04205539⟩
  • Maxime Haddouche, Benjamin Guedj. Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation. 2023. ⟨hal-04080080v2⟩
  • Maxime Haddouche, Benjamin Guedj, Olivier Wintenberger. Optimistic Dynamic Regret Bounds. 2023. ⟨hal-03953310⟩
  • Ernesto Araya, Guillaume Braun, Hemant Tyagi. Seeded graph matching for the correlated Gaussian Wigner model via the projected power method. 2022. ⟨hal-03876872⟩
  • Camille Frévent, Mohamed-Salem Ahmed, Julien Soula, Zaineb Smida, Lionel Cucala, et al.. The R Package \pkg{HDSpatialScan} for the Detection of Clusters of Multivariate and Functional Data using Spatial Scan Statistics. 2022. ⟨hal-03862097⟩
  • Eugenio Clerico, George Deligiannidis, Benjamin Guedj, Arnaud Doucet. A PAC-Bayes bound for deterministic classifiers. 2022. ⟨hal-03815146⟩
  • Antonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton. Efficient Aggregated Kernel Tests using Incomplete $U$-statistics. 2022. ⟨hal-03701416⟩
  • Felix Biggs, Valentina Zantedeschi, Benjamin Guedj. On Margins and Generalisation for Voting Classifiers. 2022. ⟨hal-03700887⟩
  • Maxime Haddouche, Benjamin Guedj. Online PAC-Bayes Learning. 2022. ⟨hal-03701105⟩
  • Tchamiè Tchazino, Aliou Diop, Sophie Dabo-Niang. Conditional tail and quantile estimation for real-valued β-mixing spatial data. 2022. ⟨hal-03668211⟩
  • Jiale Wei, Qiyuan Chen, Pai Peng, Benjamin Guedj, Le Li. Reprint: a randomized extrapolation based on principal components for data augmentation. 2022. ⟨hal-03659407⟩
  • Serge Iovleff. A New Probabilistic Representation of the Alternating Zeta Function and a New Selberg-like Integral Evaluation. 2022. ⟨hal-03612591⟩
  • Antoine Vendeville, Benjamin Guedj, Shi Zhou. On discord in the voter model for complex networks. 2022. ⟨hal-03600429⟩
  • Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi. Measuring dissimilarity with diffeomorphism invariance. 2022. ⟨hal-03573479⟩
  • Antoine Picard-Weibel, Benjamin Guedj. On change of measure inequalities for $f$-divergences. 2022. ⟨hal-03573465⟩
  • Reuben Adams, John Shawe-Taylor, Benjamin Guedj. Controlling Confusion via Generalisation Bounds. 2022. ⟨hal-03573458⟩
  • Felix Biggs, Benjamin Guedj. Non-Vacuous Generalisation Bounds for Shallow Neural Networks. 2022. ⟨hal-03557415⟩
  • Antonin Schrab, Benjamin Guedj, Arthur Gretton. KSD Aggregated Goodness-of-fit Test. 2022. ⟨hal-03554423⟩
  • Sophie Dabo-Niang, Baba Thiam, Thomas Verdebout. Asymptotic efficiency of some nonparametric tests for location on hyperspheres. 2022. ⟨hal-03527763⟩
  • Mohamed Salem Ahmed, Mohamed Attouch, Sophie Dabo-Niang, Mamadou Ndiaye. K-nearest neighbors method estimation of regression function for spatial dependent data. 2022. ⟨hal-03527479⟩
  • Fathima Sainul, Sophie Dabo-Niang, Akim Adekpedjou. Modelling Spatially Clustered Failure Time Data via Multivariate Gaussian Random Fields. 2022. ⟨hal-03527477⟩
  • Christelle Agonkoui, Sophie Dabo-Niang, Freedath Djibril Moussa. Multivariate Functional Principal Component Analysis for stratified data. 2022. ⟨hal-03527475⟩
  • Stefano Nasini, Thomas Ringo Tchouya, Sophie Dabo-Niang. An estimation framework for the influential-imitator diffusion. 2022. ⟨hal-03527489⟩
  • Filippo Antonazzo, Christophe Biernacki, Christine Keribin. Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach. 2021. ⟨hal-03485364⟩
  • Tchamiè Tchazino, Sophie Dabo-Niang, Aliou Diop. Tail and quantile estimation for real-valued β-mixing spatial data. 2021. ⟨hal-03457114⟩
  • María Pérez-Ortiz, Omar Rivasplata, Benjamin Guedj, Matthew Gleeson, Jingyu Zhang, et al.. Learning PAC-Bayes Priors for Probabilistic Neural Networks. 2021. ⟨hal-03351794⟩
  • Dharini Pathmanathan, Alaa Ali Hassan, Alaa Hassan, Sophie Dabo-Niang. Exploring spatial patterns of mortality in Europe using functional spatial principal components for areal data. 2021. ⟨hal-03133827⟩
  • Sophie Dabo-Niang, Dharini Pathmanathan, Hasmahzaiti Omar. Clustering DNA sequences for phylogenetic trees using a functional data framework. 2021. ⟨hal-03133825⟩
  • Sophie Dabo-Niang, Mékapeu Solange Doumun, Jeremie Thouakesseh Zoueu. A Novel Unstained Blood Smears Multispectral Images Normalization. Application to Unstained Malaria Infected Blood Smear.. 2021. ⟨hal-03133828⟩
  • Thomas Ringo Tchouya, Stefano Nasini, Sophie Dabo-Niang. An asymptotic approximation for the extended Bass diffusion model and application to pandemic outbreaks. 2021. ⟨hal-03133829⟩
  • Tchazino Tchamie, Sophie Dabo-Niang, Aliou Diop. Estimation of extreme tail index for β−mixing random fields. 2021. ⟨hal-03133830⟩
  • Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor. Upper and Lower Bounds on the Performance of Kernel PCA. 2020. ⟨hal-03084598⟩
  • Théophile Cantelobre, Benjamin Guedj, María Pérez-Ortiz, John Shawe-Taylor. A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings. 2020. ⟨hal-03046401⟩
  • Cristian Preda, Quentin Grimonprez, Vincent Vandewalle. cfda: an R Package for Categorical Functional Data Analysis. 2020. ⟨hal-02973094⟩
  • Serge Iovleff, Seydou Nourou Sylla, Cheikh Loucoubar. Block clustering of Binary Data with Gaussian Co-variables. 2020. ⟨hal-01961978v2⟩
  • Seydou Nourou Sylla, Sophie Dabo-Niang, Cheikh Loucoubar. Functional data analysis of parasite densities in the Senegalese villages of Dielmo and NDiop. 2019. ⟨hal-02335001⟩
  • Léo Gautheron, Pascal Germain, Amaury Habrard, Emilie Morvant, Marc Sebban, et al.. Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting. 2019. ⟨hal-02148618⟩
  • Jie Zhang, Earl T Barr, Benjamin Guedj, Mark Harman, John Shawe-Taylor. Perturbed Model Validation: A New Framework to Validate Model Relevance. 2019. ⟨hal-02139208v2⟩
  • Benjamin Guedj. A Primer on PAC-Bayesian Learning. 2019. ⟨hal-01983732v3⟩
  • Adrien Ehrhardt, Christophe Biernacki, Vincent Vandewalle, Philippe Heinrich. Feature quantization for parsimonious and interpretable predictive models. 2019. ⟨hal-01949135v2⟩
  • Gildas Mazo, Yaroslav Averyanov. Constraining kernel estimators in semiparametric copula mixture models. 2019. ⟨hal-01774629v3⟩
  • Alain Celisse, Guillemette Marot, Morgane Pierre-Jean, Guillem Rigaill. New efficient algorithms for multiple change-point detection with kernels. 2016. ⟨hal-01413230v2⟩
  • Alain Celisse, Benjamin Guedj. Stability revisited: new generalisation bounds for the Leave-one-Out. 2016. ⟨hal-01355365⟩
  • Stephane Bouka, Sophie Dabo-Niang, Guy Martial Nkiet. On estimation in spatial functional linear regression model. 2016. ⟨hal-01516615⟩
  • Sophie Dabo-Niang, Mohamed-Salem Ahmed. Generalized Functional Linear Models under Choice-Based Sampling. 2016. ⟨hal-01345918⟩
  • Le Li, Benjamin Guedj, Sébastien Loustau. Clustering en ligne : le point de vue PAC-bayésien. 2016. ⟨hal-01264934⟩
  • Sophie Dabo-Niang, Aliou Diop, Aladji Bassene. A note on conditional tail index estimation for random fields.. 2015. ⟨hal-01206809⟩
  • Sophie Dabo-Niang, Aladji Bassene, Aliou Diop. Kernel estimation of conditional tail index and quantile estimation for random fields . 2015. ⟨hal-01206829⟩
  • Sophie Dabo-Niang, Aboubacar Amiri, Mohamed Yahaya. Non-parametric recursive density estimation for space-time data-stream. 2015. ⟨hal-01206833⟩
  • Sophie Dabo-Niang, Aboubacar Amiri, Mohamed Yahaya. Non-parametric recursive density estimation for spatial data. 2015. ⟨hal-01206814⟩
  • Sophie Dabo-Niang, Baba Thiam. Nonparametric estimation of a regression function for spatial data with errors.. 2015. ⟨hal-01206832⟩
  • Sophie Dabo-Niang, Aladji Bassene, Aliou Diop. Conditional tail index estimation for random fields: fixed design case. 2015. ⟨hal-01206824⟩
  • Alain Celisse, Tristan Mary-Huard. Theoretical analysis of cross-validation for estimating the risk of the k-Nearest Neighbor classifier . 2015. ⟨hal-01185092v2⟩
  • Jérémie Kellner, Alain Celisse. A One-Sample Test for Normality with Kernel Methods. 2015. ⟨hal-01175237⟩
  • Julie Hamon, Gaël Even, Romain Dassonneville, Julien Jacques, Clarisse Dhaenens. Use of a novel evolutionary algorithm for genomic selection. 2015. ⟨hal-01100660⟩
  • Clément Théry, Christophe Biernacki, Gaétan Loridant. Model-Based Variable Decorrelation in Linear Regression. 2014. ⟨hal-01099133⟩
  • Sophie Dabo-Niang, Ali Laksaci, Zoulikha Kaid. On spatial conditional quantile estimation for a functional regressor. 2014. ⟨hal-01094745⟩
  • Jérémie Kellner, Alain Celisse. New normality test in high dimension with kernel methods. 2014. ⟨hal-00977839⟩
  • Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Classification de données mixtes par un modèle de mélange de copules gaussiennes.. 2014. ⟨hal-00940613⟩
  • Andrea Rau, Guillemette Marot, Florence Jaffrezic. Differential meta-analysis of RNA-seq data from multiple studies. 2013. ⟨hal-00834369⟩

Reports7 documents

  • Luce Brotcorne, Anne Canteaut, Aline Carneiro Viana, Céline Grandmont, Benjamin Guedj, et al.. Indicateurs de suivi de l'activité scientifique de l'Inria. [Rapport de recherche] Inria. 2020. ⟨hal-03033764⟩
  • Gildas Mazo, Yaroslav Averyanov. Constraining kernel estimators in semiparametric copula mixture models. [0] 2018, 23 p. ⟨hal-02788582⟩
  • Stéphane Bouka, Sophie Dabo-Niang, Ghislaine Gayraud, Guy-Martial Nkiet. Minimax testing in a spatial discrete regression scheme. [Research Report] 2014. ⟨hal-00943645⟩
  • Sophie Dabo-Niang, Camille Ternynck, Anne-Françoise Yao. A new spatial regression estimator in the multivariate context. [Research Report] 2014. ⟨hal-00943646⟩
  • Jérémie Kellner, Alain Celisse. New goodness-of-fit tes for normality in RKHS. [Research Report] Inria. 2014. ⟨hal-00943669⟩
  • Mohamed Attouch, Mohamed Salem Ahmed, Sophie Dabo-Niang, Aliou Diop. k-nearest neighbors method estimation of regression function for spatial dependent data. [Research Report] 2014. ⟨hal-00943647⟩
  • Camille Ternynck, Mohamed Ali Ben Alaya, Fateh Chebana, Sophie Dabo-Niang, Taha Ouarda. Flood hydrograph classification using functional data analysis. [Research Report] 2013. ⟨hal-00943644⟩

Theses11 documents

  • Issam-Ali Moindjié. Modèles linéaires pour données fonctionnelles multivariées. Statistiques [math.ST]. Université de Lille, 2023. Français. ⟨NNT : 2023ULILB046⟩. ⟨tel-04376932v2⟩
  • Guillaume Braun. Efficient iterative methods for clustering and matching problems on graphs. Combinatorics [math.CO]. Université de Lille, 2022. English. ⟨NNT : 2022ULILB034⟩. ⟨tel-03889078v2⟩
  • Camille Frévent. Contribution to spatial statistics for high-dimensional and survival data. Statistics [math.ST]. Université de Lille, 2022. English. ⟨NNT : ⟩. ⟨tel-03889127v2⟩
  • Filippo Antonazzo. Unsupervised learning of huge data sets with limited computed resources. Data Structures and Algorithms [cs.DS]. Université de Lille, 2022. English. ⟨NNT : 2022ULILB015⟩. ⟨tel-03846222v2⟩
  • Yaroslav Averyanov. Designing and analyzing new early stopping rules for saving computational resources. Statistics [math.ST]. Université de Lille; Inria, 2020. English. ⟨NNT : ⟩. ⟨tel-03133391⟩
  • Adrien Ehrhardt. Formalization and study of statistical problems in Credit Scoring: Reject inference, discretization and pairwise interactions, logistic regression trees. Methodology [stat.ME]. Université de Lille, 2019. English. ⟨NNT : ⟩. ⟨tel-02302691⟩
  • Maxime Baelde. Modèles génératifs pour la classification et la séparation de sources sonores en temps-réel. Méthodologie [stat.ME]. Université de Lille 1, 2019. Français. ⟨NNT : ⟩. ⟨tel-02399081⟩
  • Anne-Lise Bedenel. Appariement de descripteurs évoluant dans le temps : application à la comparaison d’assurance. Méthodologie [stat.ME]. Université de Lille I, 2019. Français. ⟨NNT : ⟩. ⟨tel-02399068⟩
  • Clément Théry. Model-based covariable decorrelation in linear regression (CorReg). Application to missing data and to steel industry. Methodology [stat.ME]. Université Lille 1, 2015. English. ⟨NNT : ⟩. ⟨tel-01249789⟩
  • Matthieu Marbac-Lourdelle. Model-based clustering for categorical and mixed data sets. Statistics [math.ST]. université lille 1, 2014. English. ⟨NNT : ⟩. ⟨tel-01076418⟩
  • Alexandru Amarioarei. Approximations for Multidimensional Discrete Scan Statistics. Probability [math.PR]. Université de Lille 1, 2014. English. ⟨NNT : ⟩. ⟨tel-01105214⟩

HDR thesis4 documents

  • Guillemette Marot. Contributions méthodologiques en statistique pour l'analyse et l'intégration de données -omiques et cliniques. Statistiques [math.ST]. Université de Lille, 2021. ⟨tel-03440914⟩
  • Vincent Vandewalle. Contribution to model-based clustering of heterogeneous data. Statistics [math.ST]. Université de Lille, 2021. ⟨tel-03118189⟩
  • Alain Celisse. Contributions à la calibration d'algorithmes d'apprentissage : Validation-croisée et détection de ruptures. Statistics [math.ST]. Université de Lille, 2018. ⟨tel-02050179⟩
  • Julien Jacques. Contribution à l'apprentissage statistique à base de modèles génératifs pour données complexes.. Statistiques [math.ST]. Université des Sciences et Technologie de Lille - Lille I, 2012. ⟨tel-00761184⟩

Lectures9 documents

  • C Biernacki. Clustering : une vision unifiée pour une utilisation éclairée - Partie 4 : Traitement de la grande dimension & co-clustering. Doctoral. France. 2023. ⟨hal-04370767⟩
  • C Biernacki. Clustering : une vision unifiée pour une utilisation éclairée - Partie 3 : Formalisation par modèles de mélange. Doctoral. France. 2023. ⟨hal-04370761⟩
  • C Biernacki. Clustering : une vision unifiée pour une utilisation éclairée - Partie 2 Evaluation d'une méthode de clustering. Doctoral. France. 2023. ⟨hal-04370753⟩
  • Christophe Biernacki. Clustering : une vision unifiée pour une utilisation éclairée - Partie 1 : Méthodes exploratoires en clustering. Doctoral. Paris, France. 2023. ⟨hal-04370746⟩
  • Christophe Biernacki. Traitement statistique des données manquantes-Part I Introduction to modeling. Doctorat. France. 2022. ⟨hal-03505648⟩
  • Filippo Antonazzo, Christophe Biernacki, Christine Keribin. Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach. Doctoral. France. 2021. ⟨hal-03505670⟩
  • Christophe Biernacki. Traitement statistique des donn ́ees manquantes-Part III Missing not at random data (MNAR). Doctoral. France. 2021. ⟨hal-03505651⟩
  • Christophe Biernacki. Traitement statistique des donn ́ees manquantes-Part IV Binned data for big data analysis. Doctoral. France. 2021. ⟨hal-03505653⟩
  • Christophe Biernacki. Traitement statistique des données manquantes-Part II Numerical and non-numerical data. Doctorat. France. 2021. ⟨hal-03505650⟩

Videos1 document

  • Damien A. Devault, Solym Mawaki Manou-Abi, François Xavier Lamure, Manon Squadrelli, Jean-François Desprats, et al.. Analyse statistique et cartographique des déterminants pédologiques influençant la déchloration de la chlordécone en Martinique. 2021. ⟨hal-04566068⟩

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