Publications

Publications HAL de la structure 128611

Publications HAL de la structure 128611

2022

Journal articles

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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, Heidelberg : Springer-Verlag, 2022, 12 (6), ⟨10.1002/ctm2.899⟩. ⟨hal-03700328⟩
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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, Springer Verlag, 2022, ⟨10.1007/s10994-022-06172-1⟩. ⟨hal-02904446v2⟩
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https://hal.inria.fr/hal-02904446/file/main.pdf BibTex
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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, Elsevier, 2022, 68, pp.101528. ⟨10.1016/j.ecoinf.2021.101528⟩. ⟨hal-03527459⟩
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Mihai Cucuringu, Hemant Tyagi. An extension of the angular synchronization problem to the heterogeneous setting. Foundations of Data Science, American Institute of Mathematical Sciences, In press, ⟨10.3934/fods.2021036⟩. ⟨hal-03101682⟩
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https://hal.inria.fr/hal-03101682/file/ang_sync_het_setting.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, Springer, 2022, ⟨10.1007/s42286-022-00060-w⟩. ⟨hal-03723732⟩
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https://hal.inria.fr/hal-03723732/file/WAWA-CRH22.pdf BibTex
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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, Taylor & Francis, In press. ⟨hal-03090573v2⟩
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https://hal.inria.fr/hal-03090573/file/JCGS-predictionclusteringR2.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, University of California, Los Angeles, In press. ⟨hal-01857242v2⟩
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https://hal.inria.fr/hal-01857242/file/MLGL2022.pdf BibTex

Conference papers

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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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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://hal.inria.fr/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://hal.inria.fr/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.archives-ouvertes.fr/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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https://hal.inria.fr/hal-03528082/file/Ahmadian_Single_Cell_Classification_MEMS2022.pdf BibTex

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.archives-ouvertes.fr/hal-03505648/file/part1.pdf BibTex

Preprints, Working Papers, …

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Antonin Schrab, Ilmun Kim, Mélisande Albert, Béatrice Laurent, Benjamin Guedj, et al.. MMD Aggregated Two-Sample Test. 2022. ⟨hal-03408976v2⟩
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https://hal.inria.fr/hal-03408976/file/2110.15073.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’. 2022. ⟨hal-03709218⟩
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https://arxiv.org/pdf/2206.11142 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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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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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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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.archives-ouvertes.fr/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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https://hal.archives-ouvertes.fr/hal-03612591/file/Alternating-Zeta.pdf BibTex
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Antoine Vendeville, Benjamin Guedj, Shi Zhou. Depolarising Social Networks: Optimisation of Exposure to Adverse Opinions in the Presence of a Backfire Effect. 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://hal.inria.fr/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://hal.inria.fr/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://hal.inria.fr/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://hal.inria.fr/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://hal.inria.fr/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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Camille Frévent, Mohamed-Salem Ahmed, Sophie Dabo-Niang, Michaël Genin. Investigating spatial scan statistics for multivariate functional data. 2022. ⟨hal-03527471⟩
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https://arxiv.org/pdf/2103.14401 BibTex
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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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Guillaume Braun, Hemant Tyagi, Christophe Biernacki. An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. 2022. ⟨hal-03526257⟩
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https://hal.inria.fr/hal-03526257/file/CSBM_Braun21.pdf BibTex
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Eglantine Karlé, Hemant Tyagi. Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method. 2022. ⟨hal-03519271⟩
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https://hal.inria.fr/hal-03519271/file/Dynamic_BTL_NN.pdf BibTex
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Michaël Fanuel, Hemant Tyagi. Recovering Hölder smooth functions from noisy modulo samples. 2022. ⟨hal-03511325⟩
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https://arxiv.org/pdf/2112.01610 BibTex
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Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey. Cluster-Specific Predictions with Multi-Task Gaussian Processes. 2022. ⟨hal-03009276v2⟩
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https://hal.inria.fr/hal-03009276/file/pdf_HAL.pdf BibTex

2021

Journal articles

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Hemant Tyagi. Error analysis for denoising smooth modulo signals on a graph. Applied and Computational Harmonic Analysis, Elsevier, In press. ⟨hal-03101720v2⟩
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https://hal.inria.fr/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 , MDPI, 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, Microtome Publishing, 2021, 22 (264), pp.1-79. ⟨hal-03101710⟩
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https://hal.inria.fr/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, Oxford University Press (OUP), 2021, ⟨10.1093/imaiai/iaab022⟩. ⟨hal-03101740v2⟩
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https://hal.inria.fr/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, Fondation Société Africaine de Probabilités et Statistiques (SAPS), 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, Taylor & Francis (Routledge), 2021. ⟨hal-03087279v2⟩
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https://hal.inria.fr/hal-03087279/file/Reject_Article_without_Z%20%287%29.pdf BibTex
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Alexandre d’Aspremont, Mihai Cucuringu, Hemant Tyagi. Ranking and synchronization from pairwise measurements via SVD. Journal of Machine Learning Research, Microtome Publishing, 2021, 22 (19), pp.1-63. ⟨hal-02340372⟩
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https://arxiv.org/pdf/1906.02746 BibTex
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Margot Selosse, Julien Jacques, Christophe Biernacki. ordinalClust: An R Package to Analyze Ordinal Data. The R Journal, R Foundation for Statistical Computing, 2021, 12 (2), ⟨10.32614/RJ-2021-011⟩. ⟨hal-01678800v4⟩
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https://hal.inria.fr/hal-01678800/file/RJwrapper.pdf BibTex
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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, Nature Publishing Group, 2021, 12, pp.116. ⟨10.1038/s41467-020-20216-x⟩. ⟨hal-03107529v2⟩
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https://hal.archives-ouvertes.fr/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, Springer, 2021. ⟨hal-02946434v2⟩
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https://hal.inria.fr/hal-02946434/file/main.pdf BibTex
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Benjamin Guedj, Louis Pujol. Still no free lunches: the price to pay for tighter PAC-Bayes bounds. Entropy, MDPI, 2021, ⟨10.3390/e23111529⟩. ⟨hal-02401286⟩
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https://hal.inria.fr/hal-02401286/file/1910.04460.pdf BibTex
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Benjamin Guedj, Le Li. Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly. Entropy, MDPI, 2021, ⟨10.3390/e23111534⟩. ⟨hal-01796011v2⟩
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https://hal.inria.fr/hal-01796011/file/main-pcurves.pdf BibTex
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Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor. PAC-Bayes unleashed: generalisation bounds with unbounded losses. Entropy, MDPI, 2021, ⟨10.3390/e23101330⟩. ⟨hal-02872173⟩
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https://hal.inria.fr/hal-02872173/file/2006.07279.pdf BibTex
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Felix Biggs, Benjamin Guedj. Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks. Entropy, MDPI, 2021, ⟨10.3390/e23101280⟩. ⟨hal-02879216⟩
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https://hal.inria.fr/hal-02879216/file/2006.12228.pdf BibTex

Conference papers

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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. ⟨hal-03430821⟩
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https://hal.inria.fr/hal-03430821/file/2111.07737.pdf BibTex
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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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https://hal.inria.fr/hal-02872161/file/main.pdf BibTex
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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. ⟨hal-03463798⟩
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https://hal.inrae.fr/hal-03463798/file/2021_JFN2021-M%C3%A9jean%20et%20al.-Analyses%20des%20transitions%20alimentaires%20dans%20le%20monde.pdf BibTex
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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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https://hal.archives-ouvertes.fr/hal-03505673/file/WGMBC2021-ABK_V4.pdf BibTex
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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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https://hal.archives-ouvertes.fr/hal-03505657/file/Pr%C3%A9sentation%20SOU%20Sportunlimitech_Biernacki.pdf BibTex
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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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https://hal.inria.fr/hal-03525345/file/JDS2021.pdf BibTex
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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. ⟨hal-03515286⟩
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https://hal.inria.fr/hal-03515286/file/clustering_predictif.pdf BibTex
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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. ⟨hal-03399069⟩
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https://hal.inria.fr/hal-03399069/file/2010.04627.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. MHC2021 – Mixtures, Hidden Markov Models, Clustering, Jun 2021, Orsay, France. ⟨hal-03505664⟩
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https://hal.archives-ouvertes.fr/hal-03505664/file/MHC2021_Biernacki.pdf BibTex
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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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https://hal.archives-ouvertes.fr/hal-03505659/file/Slides_Clustering_MNAR.pdf BibTex
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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. ⟨hal-02401290⟩
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https://hal.inria.fr/hal-02401290/file/1909.06861.pdf BibTex
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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. ⟨hal-03505636⟩
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https://hal.archives-ouvertes.fr/hal-03505636/file/2103.03235.pdf BibTex
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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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https://hal.archives-ouvertes.fr/hal-03505667/file/slidesMIMO2021.pdf BibTex
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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. ⟨hal-03425405⟩
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https://arxiv.org/pdf/2012.09670 BibTex
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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. ⟨hal-03278470⟩
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https://hal.inria.fr/hal-03278470/file/2106.12535.pdf BibTex

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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https://hal.archives-ouvertes.fr/hal-03097284/file/Short_paper_6.pdf BibTex
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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, John Wiley and Sons, Chichester. ISBN : 978-1-119-38784-8, 2021, Geostatistical Functional Data Analysis : Theory and Methods. ⟨hal-01948934⟩
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https://hal.inria.fr/hal-01948934/file/vandewalle_preda_dabo.pdf BibTex
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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. ⟨hal-01812238⟩
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Mohamed Salem Ahmed, Laurence Broze, Sophie Dabo-Niang, Zied Gharbi. Functional Linear Spatial Autoregressive Models. Ramon Giraldo; Jorge Mateu. Geostatistical Functional Data Analysis: Theory and Methods, Wiley, 2021, 978-1-119-38784-8. ⟨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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Aude Sportisse, Matthieu Marbac, Christophe Biernacki, Claire Boyer, Gilles Celeux, et al.. Model-based Clustering with Missing Not At Random Data. 2021. ⟨hal-03494674v2⟩
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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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Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki. Interpretable Domain Adaptation Using Unsupervised Feature Selection on Pre-trained Source Models. 2021. ⟨hal-03325509⟩
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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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Sophie Dabo-Niang, 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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Tchazino Tchamie, Sophie Dabo-Niang, Aliou Diop. Estimation of extreme tail index for β−mixing random fields. 2021. ⟨hal-03133830⟩
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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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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, Elsevier, 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, Cambridge University Press, 2020, ⟨10.1017/dce.2020.12⟩. ⟨hal-02570875⟩
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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, IM Publications, 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, Springer, 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, BioMed Central, 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, Springer Verlag, 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, Wiley, 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, Oxford University Press (OUP): Policy P – Oxford Open Option A, 2020, 496 (4), pp.4287-429. ⟨10.1093/mnras/staa1520⟩. ⟨hal-02617073⟩
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Vincent Vandewalle. Multi-Partitions Subspace Clustering. Mathematics , MDPI, 2020, 8 (4), pp.597. ⟨10.3390/math8040597⟩. ⟨hal-03117603⟩
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Cristian Preda, Alexandru Amarioarei. One Dimensional Discrete Scan Statistics for Dependent Models and Some Related Problems. Mathematics , MDPI, 2020, 8 (4), pp.576. ⟨10.3390/math8040576⟩. ⟨hal-03114193⟩
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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, Elsevier, 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, MDPI, 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, Elsevier, In press, ⟨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, Springer Verlag, 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, Microtome Publishing, 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, Springer, 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, Elsevier, 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, Taylor & Francis, 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, Elsevier, 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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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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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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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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Directions of work or proceedings

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Sophie Dabo-Niang, Solym Manou-Abi, Jean-Jacques Salone. 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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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. ⟨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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Florent Dewez, Benjamin Guedj, Arthur Talpaert, Vincent Vandewalle. An end-to-end data-driven optimisation framework for constrained trajectories. 2020. ⟨hal-03024720⟩
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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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Michael P B Gallaugher, Christophe Biernacki, Paul D Mcnicholas. Parameter-Wise Co-Clustering for High-Dimensional Data. 2020. ⟨hal-01862824v3⟩
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Alain Celisse, Martin Wahl. Analyzing the discrepancy principle for kernelized spectral filter learning algorithms. 2020. ⟨hal-02548917⟩
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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, Nature Publishing Group, 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, Microtome Publishing, 2019, 20 (162), pp.1–56. ⟨hal-00671174v3⟩
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Maxime Baelde, Christophe Biernacki, Raphaël Greff. Real-Time Monophonic and Polyphonic Audio Classification from Power Spectra. Pattern Recognition, Elsevier, 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, Elsevier, 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, Wiley, 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, MDPI, 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, Linköping University Electronic Press, Linköpings universitet, 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, Elsevier, 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, Springer Verlag, 2019, 50, pp.403-455. ⟨10.1007/s00365-019-09461-6⟩. ⟨hal-02379404⟩
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https://hal.inria.fr/hal-02379404/file/SPAMgen_main.pdf BibTex
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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, Elsevier, 2019, 111, pp.394-408. ⟨10.1016/j.envsoft.2018.09.017⟩. ⟨hal-02334991⟩
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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, Elsevier, In press, ⟨10.1016/j.neucom.2019.04.072⟩. ⟨hal-01857463v4⟩
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Mohamed-Salem Ahmed, Sophie Dabo-Niang, Michaël Genin, Alaa Ali Hassan. Partially Linear Spatial Probit Models. Annales de l’ISUP, Publications de l’Institut de Statistique de l’Université de Paris, 2019, 63 (2-3), pp.71-96. ⟨hal-03133818⟩
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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, Institute of Electrical and Electronics Engineers, 2019, pp.1-14. ⟨10.1109/MCSE.2019.2949413⟩. ⟨hal-02135891v2⟩
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Gildas Mazo, Yaroslav Averyanov. Constraining kernel estimators in semiparametric copula mixture models. Computational Statistics and Data Analysis, Elsevier, 2019, 138, pp.170-189. ⟨10.1016/j.csda.2019.04.010⟩. ⟨hal-02620478⟩
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https://hal.inrae.fr/hal-02620478/file/S0167947319300945.pdf BibTex

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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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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https://hal.inria.fr/hal-02401295/file/1905.13367.pdf BibTex
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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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https://hal.archives-ouvertes.fr/hal-02394120/file/resume_maclean_Dec_2019.pdf BibTex
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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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https://hal.archives-ouvertes.fr/hal-01779989/file/1804.10028.pdf BibTex
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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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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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https://hal.archives-ouvertes.fr/hal-02400525/file/slidesIFCS.pdf BibTex
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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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Christophe Biernacki, Margot Corréard. Predictive maintenance solution without additional sensors. Forum TERATEC, Jun 2019, Palaiseau, France. ⟨hal-02399046⟩
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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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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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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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https://hal.inria.fr/hal-02379505/file/418-supp.pdf BibTex
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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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https://hal.inria.fr/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.archives-ouvertes.fr/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. ⟨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. ⟨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. ⟨tel-02399068⟩
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https://hal.archives-ouvertes.fr/tel-02399068/file/50376-2019-Bedenel.pdf BibTex

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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https://hal.archives-ouvertes.fr/hal-01949135/file/feature_quantization.pdf BibTex
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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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Matthieu Marbac, Vincent Vandewalle. A tractable Multi-Partitions Clustering. Computational Statistics and Data Analysis, Elsevier, 2018, ⟨10.1016/j.csda.2018.06.013⟩. ⟨hal-01691417⟩
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https://arxiv.org/pdf/1801.07063 BibTex
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Julien Jacques, Christophe Biernacki. Model-Based Co-clustering for Ordinal Data. Computational Statistics and Data Analysis, Elsevier, 2018, 123, pp.101-115. ⟨10.1016/j.csda.2018.01.014⟩. ⟨hal-01448299v2⟩
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https://hal.inria.fr/hal-01448299/file/ordinal-coclustering-Jacques-Biernacki.pdf BibTex
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Benjamin Guedj, Bhargav Srinivasa Desikan. Pycobra: A Python Toolbox for Ensemble Learning and Visualisation. Journal of Machine Learning Research, Microtome Publishing, 2018, 18, pp.1 – 5. ⟨hal-01514059v3⟩
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https://hal.inria.fr/hal-01514059/file/17-228.pdf BibTex
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Christophe Biernacki, Alexandre Lourme. Unifying Data Units and Models in (Co-)Clustering. Advances in Data Analysis and Classification, Springer Verlag, 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, Elsevier, 2018, 291, pp.97-108. ⟨10.1016/j.neucom.2018.02.055⟩. ⟨hal-01422756⟩
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https://hal.inria.fr/hal-01422756/file/coclustering_functional_data.pdf BibTex
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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, Elsevier, 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, Elsevier Masson, 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, Springer Verlag, 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 , Shaker Heights, OH : Institute of Mathematical 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, Elsevier, 2018, ⟨10.1016/j.jspi.2017.10.010⟩. ⟨hal-01226472⟩
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Conference papers

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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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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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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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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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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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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://hal.inria.fr/hal-01884822/file/Prez-MixtStatSeq.pdf BibTex
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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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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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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.archives-ouvertes.fr/hal-01885117/file/LION12_review.pdf BibTex
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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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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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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: Performing clustering. Summer School on Clustering, Data Analysis and Visualization of Complex Data, May 2018, Catania, Italy. ⟨hal-01810376⟩
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https://hal.inria.fr/hal-01810376/file/slides-prez1.pdf BibTex
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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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https://hal.inria.fr/hal-01810377/file/slides-prez2.pdf BibTex
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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, Sophie Dabo-Niang, Mohamed Salem Ahmed, Abdoulaye Sarré, Ahmed Taleb, 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. [Other] 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 , Elsevier, 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, WB Saunders, 2017, pp.1-7. ⟨10.1016/j.jhin.2017.08.023⟩. ⟨hal-01655460⟩
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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, Elsevier, 2017, 20 (7), pp.992 – 998. ⟨10.1016/j.jval.2017.02.009⟩. ⟨hal-01655463⟩
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Mohamed-Salem Ahmed, Mohammed Kadi Attouch, Sophie Dabo-Niang. Binary functional linear models under choice-based sampling. Econometrics and Statistics , Elsevier, 2017, ⟨10.1016/j.ecosta.2017.07.001⟩. ⟨hal-01654079⟩
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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 , Elsevier, 2017, 3, pp.141-159. ⟨10.1016/j.ecosta.2017.03.004⟩. ⟨hal-01204613v3⟩
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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, Cold Spring Harbor Laboratory Press, 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, University of California, Los Angeles, 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, Allerton Press, Springer (link), 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, University of California, Los Angeles, 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, Taylor & Francis, 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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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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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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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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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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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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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, Elsevier, 2016, 154, pp.162 – 176. ⟨10.1016/j.jmva.2016.11.001⟩. ⟨hal-01424782⟩
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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, Springer Verlag, 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, Elsevier, 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, American Statistical Association, 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, IM Publications, 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, Impact journals, 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, Elsevier, 2016, ⟨10.1016/j.jmva.2016.01.007⟩. ⟨hal-01425933⟩
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Aboubacar Amiri, Sophie Dabo-Niang, Mohamed Yahaya. Non-parametric recursive density estimation for spatial data. Comptes Rendus. Mathématique, Académie des sciences (Paris), 2016, ⟨10.1016/j.crma.2015.10.010⟩. ⟨hal-01425935⟩
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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, Springer Verlag (Germany), 2016, 26 (5), pp.929-943. ⟨10.1007/s11222-015-9585-2⟩. ⟨hal-01052447v2⟩
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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, R Foundation for Statistical Computing, 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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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, 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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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 pr écision-temps de calcul appliqu é au problèeme de d étection 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. 0010. ⟨hal-01424950⟩
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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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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, American Meteorological Society, 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, American Association for 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, University of California, Los Angeles, 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, Pushpa Publishing House, 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, Springer Verlag, 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, Elsevier, 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, Springer Verlag, 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, Institute of Mathematical 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, Springer Verlag, 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, Société française de statistique, 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. ⟨tel-01249789⟩
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Preprints, Working Papers, …

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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, Aboubacar Amiri, Mohamed Yahaya. Non-parametric recursive density estimation for space-time data-stream. 2015. ⟨hal-01206833⟩
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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, BioMed Central, 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, Springer Verlag, 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, Springer Verlag (Germany), 2014, 28, pp.2075-2099. ⟨10.1007/s00477-014-0903-6⟩. ⟨hal-01094743⟩
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Julien Jacques, Quentin Grimonprez, Christophe Biernacki. Rankcluster: An R package for clustering multivariate partial rankings. The R Journal, R Foundation for Statistical Computing, 2014, 6 (1), pp.10. ⟨10.32614/rj-2014-010⟩. ⟨hal-00840692v3⟩
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Julien Jacques, Christophe Biernacki. Model-based clustering for multivariate partial ranking data. Journal of Statistical Planning and Inference, Elsevier, 2014, 149, pp.201-217. ⟨hal-00743384⟩
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Emil Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki. Mixture of Gaussians for Distance Estimation with Missing Data. Neurocomputing, Elsevier, 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, Elsevier, 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, Elsevier, 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, Springer Verlag, 2014, 8 (3), pp.24. ⟨10.1007/s11634-013-0158-y⟩. ⟨hal-00771030⟩
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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, Springer Verlag, 2014, pp.21. ⟨10.1007/s10260-013-0239-2⟩. ⟨hal-00921178⟩
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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, Société Française de Statistique et Société Mathématique de France, 2014, Numéro spécial : analyse des données en grande dimension, 155 (2), pp.38-56. ⟨hal-00764927v2⟩
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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, BioMed Central, 2014, 13 (1), pp.151. ⟨10.1186/1476-4598-13-151⟩. ⟨hal-01011012⟩
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Andrea Rau, Guillemette Marot, Florence Jaffrezic. Differential meta-analysis of RNA-seq data from multiple studies. BMC Bioinformatics, BioMed Central, 2014, 15 (1), pp.91. ⟨10.1186/1471-2105-15-91⟩. ⟨hal-00978902⟩
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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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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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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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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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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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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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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. ⟨tel-01076418⟩
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Alexandru Amarioarei. Approximations for Multidimensional Discrete Scan Statistics. Probability [math.PR]. Université de Lille 1, 2014. English. ⟨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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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, Springer Verlag, 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, Springer Verlag (Germany), 2013, pp.21. ⟨hal-00688250⟩
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Alexandru Amarioarei, Cristian Preda. Approximation for the Distribution of Three-dimensional Discrete Scan Statistic. Methodology and Computing in Applied Probability, Springer Verlag, 2013, pp.14. ⟨10.1007/s11009-013-9382-3⟩. ⟨hal-01092992⟩
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Vincent Vandewalle, Christophe Biernacki, Gilles Celeux, Gérard Govaert. A predictive deviance criterion for selecting a generative model in semi-supervised classification. Computational Statistics and Data Analysis, Elsevier, 2013, 64, pp.220-236. ⟨10.1016/j.csda.2013.02.010⟩. ⟨hal-00778130⟩
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Julien Jacques, Cristian Preda. Funclust: a curves clustering method using functional random variables density approximation. Neurocomputing, Elsevier, 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, Wiley, 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, Springer Verlag, 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, American Society for Biochemistry and Molecular Biology, 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://hal.inria.fr/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://hal.inria.fr/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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https://hal.inria.fr/hal-00834369/file/metaRNASeq13.pdf BibTex

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, Wiley, 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, Société Française de Statistique, 2012, 2 (2), pp.5-24. ⟨hal-00913110⟩
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https://hal.archives-ouvertes.fr/hal-00913110/file/SFDS_logiciels.pdf BibTex
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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, Oxford University Press (OUP), 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://hal.inria.fr/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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https://hal.inria.fr/hal-00749727/file/julieHamon_roadef2012.pdf BibTex
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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. 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. Clustering multivariate functional data. COMPSTAT 2012, 2012, Cyprus. pp.353-366. ⟨hal-00943745⟩
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https://hal.archives-ouvertes.fr/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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https://hal.inria.fr/hal-00942660/file/Knowledge_Transfer_Parametric_Link_Model.pdf BibTex

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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https://tel.archives-ouvertes.fr/tel-00761184/file/HDR-JJ.pdf BibTex

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, Springer Verlag, 2011, 5 (4), pp.281-300. ⟨10.1007/s11634-011-0095-6⟩. ⟨hal-00559561v2⟩
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https://hal.archives-ouvertes.fr/hal-00559561/file/funHDDC.pdf BibTex

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://hal.inria.fr/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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https://hal.inria.fr/hal-03183299/file/Document%20Aper%C3%A7u%20non%20enregistr%C3%A9.pdf BibTex

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.archives-ouvertes.fr/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, Elsevier, 2008, 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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https://hal.archives-ouvertes.fr/hal-01125361/file/ED2007_preda_saporta.pdf BibTex

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.archives-ouvertes.fr/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.archives-ouvertes.fr/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, Société française de statistique, 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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https://hal.archives-ouvertes.fr/hal-01124653/file/preda-saporta-nantes2001.pdf BibTex

If the Hal plugin it activated, another solution is to use



396 documents

Journal articles

  • 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, University of California, Los Angeles, In press. ⟨hal-01857242v2⟩
  • 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, Elsevier, 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, Taylor & Francis, In press. ⟨hal-03090573v2⟩
  • Mihai Cucuringu, Hemant Tyagi. An extension of the angular synchronization problem to the heterogeneous setting. Foundations of Data Science, American Institute of Mathematical Sciences, In press, ⟨10.3934/fods.2021036⟩. ⟨hal-03101682⟩
  • 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, Springer, 2022, ⟨10.1007/s42286-022-00060-w⟩. ⟨hal-03723732⟩
  • 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, Heidelberg : Springer-Verlag, 2022, 12 (6), ⟨10.1002/ctm2.899⟩. ⟨hal-03700328⟩
  • Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey. MAGMA: Inference and Prediction using Multi-Task Gaussian Processes with Common Mean. Machine Learning, Springer Verlag, 2022, ⟨10.1007/s10994-022-06172-1⟩. ⟨hal-02904446v2⟩
  • Adrien Ehrhardt, Christophe Biernacki, Vincent Vandewalle, Philippe Heinrich, Sébastien Beben. Reject Inference Methods in Credit Scoring. Journal of Applied Statistics, Taylor & Francis (Routledge), 2021. ⟨hal-03087279v2⟩
  • Antoine Vendeville, Benjamin Guedj, Shi Zhou. Forecasting elections results via the voter model with stubborn nodes. Applied Network Science, Springer, 2021. ⟨hal-02946434v2⟩
  • Mihai Cucuringu, Apoorv Vikram Singh, Deborah Sulem, Hemant Tyagi. Regularized spectral methods for clustering signed networks. Journal of Machine Learning Research, Microtome Publishing, 2021, 22 (264), pp.1-79. ⟨hal-03101710⟩
  • Serge-Hippolyte Arnaud Kanga, Ouagnina Hili, Sophie Dabo-Niang. On Nonparametric Conditional Quantile Estimation for Non-stationary Random. Afrika Statistika, Fondation Société Africaine de Probabilités et Statistiques (SAPS), 2021, 16 (4), pp.3009-3039. ⟨10.16929/as/2021.3009.193⟩. ⟨hal-03527760⟩
  • Felix Biggs, Benjamin Guedj. Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks. Entropy, MDPI, 2021, ⟨10.3390/e23101280⟩. ⟨hal-02879216⟩
  • Cristian Preda, Quentin Grimonprez, Vincent Vandewalle. Categorical Functional Data Analysis. The cfda R Package. Mathematics , MDPI, 2021, 9 (23), pp.31. ⟨10.3390/math9233074⟩. ⟨hal-03515152⟩
  • Hemant Tyagi. Error analysis for denoising smooth modulo signals on a graph. Applied and Computational Harmonic Analysis, Elsevier, In press. ⟨hal-03101720v2⟩
  • Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi. Ranking and synchronization from pairwise measurements via SVD. Journal of Machine Learning Research, Microtome Publishing, 2021, 22 (19), pp.1-63. ⟨hal-02340372⟩
  • Michaël Fanuel, Hemant Tyagi. Denoising modulo samples: k-NN regression and tightness of SDP relaxation. Information and Inference, Oxford University Press (OUP), 2021, ⟨10.1093/imaiai/iaab022⟩. ⟨hal-03101740v2⟩
  • Margot Selosse, Julien Jacques, Christophe Biernacki. ordinalClust: An R Package to Analyze Ordinal Data. The R Journal, R Foundation for Statistical Computing, 2021, 12 (2), ⟨10.32614/RJ-2021-011⟩. ⟨hal-01678800v4⟩
  • Benjamin Guedj, Le Li. Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly. Entropy, MDPI, 2021, ⟨10.3390/e23111534⟩. ⟨hal-01796011v2⟩
  • Benjamin Guedj, Louis Pujol. Still no free lunches: the price to pay for tighter PAC-Bayes bounds. Entropy, MDPI, 2021, ⟨10.3390/e23111529⟩. ⟨hal-02401286⟩
  • 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, Nature Publishing Group, 2021, 12, pp.116. ⟨10.1038/s41467-020-20216-x⟩. ⟨hal-03107529v2⟩
  • Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor. PAC-Bayes unleashed: generalisation bounds with unbounded losses. Entropy, MDPI, 2021, ⟨10.3390/e23101330⟩. ⟨hal-02872173⟩
  • Stéphane Chrétien, Hemant Tyagi. Multi-kernel unmixing and super-resolution using the Modified Matrix Pencil method. Journal of Fourier Analysis and Applications, Springer Verlag, 2020, 26 (18), ⟨10.1007/s00041-020-09725-x⟩. ⟨hal-02379598⟩
  • 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, Oxford University Press (OUP): Policy P - Oxford Open Option A, 2020, 496 (4), pp.4287-429. ⟨10.1093/mnras/staa1520⟩. ⟨hal-02617073⟩
  • Margot Selosse, Julien Jacques, Christophe Biernacki. Textual data summarization using the Self-Organized Co-Clustering model. Pattern Recognition, Elsevier, In press, ⟨10.1016/j.patcog.2020.107315⟩. ⟨hal-02115294v3⟩
  • 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, IM Publications, 2020, 9 (Article ID a10), ⟨10.1255/jsi.2020.a10⟩. ⟨hal-03133812⟩
  • Christophe Biernacki, Matthieu Marbac, Vincent Vandewalle. Gaussian Based Visualization of Gaussian and Non-Gaussian Based Clustering. Journal of Classification, Springer Verlag, 2020, ⟨10.1007/s00357-020-09369-y⟩. ⟨hal-01949155v3⟩
  • Soumia Boumeddane, Leila Hamdad, Hamid Haddadou, Sophie Dabo-Niang. A kernel discriminant analysis for spatially dependent data. Distributed and Parallel Databases, Springer, 2020, 39 (3), pp.583-606. ⟨10.1007/s10619-020-07309-8⟩. ⟨hal-03133813⟩
  • Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant. PAC-Bayes and Domain Adaptation. Neurocomputing, Elsevier, 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, Taylor & Francis, 2020, ⟨10.1080/03610926.2020.1741626⟩. ⟨hal-01420662v5⟩
  • 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, BioMed Central, 2020, 20 (1), ⟨10.1186/s12874-020-01091-y⟩. ⟨hal-03117742⟩
  • 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, Elsevier, 2020, 137, pp.103522. ⟨10.1016/j.advwatres.2020.103522⟩. ⟨hal-03133809⟩
  • Margot Selosse, Julien Jacques, Christophe Biernacki. Model-based co-clustering for mixed type data. Computational Statistics and Data Analysis, Elsevier, 2020, 144, pp.106866. ⟨10.1016/j.csda.2019.106866⟩. ⟨hal-01893457v2⟩
  • Sophie Dabo-Niang, Baba Thiam. Kernel regression estimation with errors-in-variables for random fields. Afrika Matematika, Springer, 2020, 31, pp.29-56. ⟨10.1007/s13370-019-00654-7⟩. ⟨hal-02334993⟩
  • Akim Adekpedjou, Sophie Dabo-Niang. Semiparametric estimation with spatially correlated recurrent events. Scandinavian Journal of Statistics, Wiley, 2020, ⟨10.1111/sjos.12480⟩. ⟨hal-03133810⟩
  • Benjamin Guedj, Bhargav Srinivasa Desikan. Kernel-Based Ensemble Learning in Python. Information, MDPI, 2020, 11 (2), pp.63. ⟨10.3390/info11020063⟩. ⟨hal-02443097v2⟩
  • 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, Microtome Publishing, 2020, 21 (32), pp.1−77. ⟨hal-02379573⟩
  • 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, Cambridge University Press, 2020, ⟨10.1017/dce.2020.12⟩. ⟨hal-02570875⟩
  • Vincent Vandewalle. Multi-Partitions Subspace Clustering. Mathematics , MDPI, 2020, 8 (4), pp.597. ⟨10.3390/math8040597⟩. ⟨hal-03117603⟩
  • Florent Dewez. Stability of propagation features under time-asymptotic approximations for a class of dispersive equations. Journal of Mathematical Analysis and Applications, Elsevier, 2020, 491 (1), pp.124292. ⟨10.1016/j.jmaa.2020.124292⟩. ⟨hal-03490225⟩
  • Cristian Preda, Alexandru Amarioarei. One Dimensional Discrete Scan Statistics for Dependent Models and Some Related Problems. Mathematics , MDPI, 2020, 8 (4), pp.576. ⟨10.3390/math8040576⟩. ⟨hal-03114193⟩
  • Hemant Tyagi, Jan Vybiral. Learning general sparse additive models from point queries in high dimensions. Constructive Approximation, Springer Verlag, 2019, 50, pp.403-455. ⟨10.1007/s00365-019-09461-6⟩. ⟨hal-02379404⟩
  • 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, Elsevier, 2019, 111, pp.394-408. ⟨10.1016/j.envsoft.2018.09.017⟩. ⟨hal-02334991⟩
  • 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, Elsevier, In press, 177 (5), pp.1201-1216.e19. ⟨10.1016/j.cell.2019.03.018⟩. ⟨inserm-02084447⟩
  • Gildas Mazo, Yaroslav Averyanov. Constraining kernel estimators in semiparametric copula mixture models. Computational Statistics and Data Analysis, Elsevier, 2019, 138, pp.170-189. ⟨10.1016/j.csda.2019.04.010⟩. ⟨hal-02620478⟩
  • 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, Wiley, 2019, 68 (Part 5), pp.1327-1349. ⟨10.1111/rssc.12365⟩. ⟨hal-01643910v3⟩
  • Maxime Baelde, Christophe Biernacki, Raphaël Greff. Real-Time Monophonic and Polyphonic Audio Classification from Power Spectra. Pattern Recognition, Elsevier, 2019, 92, pp.82-92. ⟨10.1016/j.patcog.2019.03.017⟩. ⟨hal-01834221v3⟩
  • 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, MDPI, 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, Linköping University Electronic Press, Linköpings universitet, 2019. ⟨hal-02271395⟩
  • Armin Eftekhari, Jared Tanner, Andrew Thompson, Bogdan Toader, Hemant Tyagi. Sparse non-negative super-resolution — simplified and stabilised. Applied and Computational Harmonic Analysis, Elsevier, 2019, ⟨10.1016/j.acha.2019.08.004⟩. ⟨hal-02379445⟩
  • Sylvain Arlot, Alain Celisse, Zaid Harchaoui. A Kernel Multiple Change-point Algorithm via Model Selection. Journal of Machine Learning Research, Microtome Publishing, 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, Elsevier, In press, ⟨10.1016/j.neucom.2019.04.072⟩. ⟨hal-01857463v4⟩
  • 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, Nature Publishing Group, 2019, 9, pp.19202. ⟨10.1038/s41598-019-55727-1⟩. ⟨hal-02414293v2⟩
  • Mohamed-Salem Ahmed, Sophie Dabo-Niang, Michaël Genin, Alaa Ali Hassan. Partially Linear Spatial Probit Models. Annales de l'ISUP, Publications de l’Institut de Statistique de l’Université de Paris, 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, Institute of Electrical and Electronics Engineers, 2019, pp.1-14. ⟨10.1109/MCSE.2019.2949413⟩. ⟨hal-02135891v2⟩
  • Benjamin Guedj, Sylvain Robbiano. PAC-Bayesian High Dimensional Bipartite Ranking. Journal of Statistical Planning and Inference, Elsevier, 2018, ⟨10.1016/j.jspi.2017.10.010⟩. ⟨hal-01226472⟩
  • Le Li, Benjamin Guedj, Sébastien Loustau. A Quasi-Bayesian Perspective to Online Clustering. Electronic Journal of Statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2018, ⟨10.1214/18-EJS1479⟩. ⟨hal-01264233v4⟩
  • 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, Elsevier Masson, 2018, 39 (2), pp.83-92. ⟨10.1016/j.irbm.2017.12.002⟩. ⟨hal-01692197⟩
  • Julien Jacques, Christophe Biernacki. Model-Based Co-clustering for Ordinal Data. Computational Statistics and Data Analysis, Elsevier, 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, Microtome Publishing, 2018, 18, pp.1 - 5. ⟨hal-01514059v3⟩
  • Matthieu Marbac, Vincent Vandewalle. A tractable Multi-Partitions Clustering. Computational Statistics and Data Analysis, Elsevier, 2018, ⟨10.1016/j.csda.2018.06.013⟩. ⟨hal-01691417⟩
  • Yosra Ben Slimen, Sylvain Allio, Julien Jacques. Model-Based Co-clustering for Functional Data. Neurocomputing, Elsevier, 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, Elsevier, 2018, 136, pp.126-129. ⟨10.1016/j.spl.2018.02.025⟩. ⟨hal-01744181⟩
  • Christophe Biernacki, Alexandre Lourme. Unifying Data Units and Models in (Co-)Clustering. Advances in Data Analysis and Classification, Springer Verlag, 2018, 13, pp.7-31. ⟨10.1007/s11634-018-0325-2⟩. ⟨hal-01653881⟩
  • Pierre Alquier, Benjamin Guedj. Simpler PAC-Bayesian Bounds for Hostile Data. Machine Learning, Springer Verlag, 2018, 107 (5), pp.887-902. ⟨10.1007/s10994-017-5690-0⟩. ⟨hal-01385064v3⟩
  • Parmeet Bathia, Serge Iovleff, Gérard Govaert. An R Package and C++ library for Latent block models: Theory, usage and applications. Journal of Statistical Software, University of California, Los Angeles, 2017, 76 (9), pp.1-24. ⟨hal-01285610⟩
  • Elise Hebbinckuys, Jean-Pierre Marissal, Cristian Preda, Valérie Leclercq. Assessing the burden of Clostridium difficile infections for hospitals. Journal of Hospital Infection, WB Saunders, 2017, pp.1-7. ⟨10.1016/j.jhin.2017.08.023⟩. ⟨hal-01655460⟩
  • Sophie Dabo-Niang, Aboubacar Amiri. Density estimation over spatio-temporal data streams. Econometrics and Statistics , Elsevier, 2017, ⟨10.1016/j.ecosta.2017.08.005⟩. ⟨hal-01654081⟩
  • Pierre Alquier, Benjamin Guedj. An Oracle Inequality for Quasi-Bayesian Non-Negative Matrix Factorization. Mathematical Methods of Statistics, Allerton Press, Springer (link), 2017, 26 (1), pp.55 - 67. ⟨10.3103/S1066530717010045⟩. ⟨hal-01251878v4⟩
  • Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Model-based clustering of Gaussian copulas for mixed data. Communications in Statistics - Theory and Methods, Taylor & Francis, 2017, 46 (23), pp.11635-11656. ⟨10.1080/03610926.2016.1277753⟩. ⟨hal-00987760v4⟩
  • Parmeet Bhatia, Serge Iovleff, Gérard Govaert. blockcluster: An R Package for Model Based Co-Clustering. Journal of Statistical Software, University of California, Los Angeles, 2017, 76 (9), pp.24. ⟨10.18637/jss.v076.i09⟩. ⟨hal-01093554⟩
  • 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, Elsevier, 2017, 20 (7), pp.992 - 998. ⟨10.1016/j.jval.2017.02.009⟩. ⟨hal-01655463⟩
  • 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, Cold Spring Harbor Laboratory Press, 2017, Genome research, 27 (6), pp.985-996. ⟨10.1101/gr.217075.116⟩. ⟨hal-01647846⟩
  • Mohamed-Salem Ahmed, Mohammed Kadi Attouch, Sophie Dabo-Niang. Binary functional linear models under choice-based sampling. Econometrics and Statistics , Elsevier, 2017, ⟨10.1016/j.ecosta.2017.07.001⟩. ⟨hal-01654079⟩
  • Md Abul Hasnat, Julien Velcin, Stephane Bonnevay, Julien Jacques. Evolutionary clustering for categorical data using parametric links among multinomial mixture models. Econometrics and Statistics , Elsevier, 2017, 3, pp.141-159. ⟨10.1016/j.ecosta.2017.03.004⟩. ⟨hal-01204613v3⟩
  • Loïc Yengo, Julien Jacques, Christophe Biernacki, Mickael Canouil. Variable Clustering in High-Dimensional Linear Regression: The R Package clere. The R Journal, R Foundation for Statistical Computing, 2016, 8 (1), pp.92-106. ⟨10.32614/RJ-2016-006⟩. ⟨hal-00940929⟩
  • Azzouz Dermoune, Cristian Preda. Parametrizations, fixed and random effects. Journal of Multivariate Analysis, Elsevier, 2016, 154, pp.162 - 176. ⟨10.1016/j.jmva.2016.11.001⟩. ⟨hal-01424782⟩
  • Sophie Dabo-Niang, Camille Ternynck, Anne-Françoise Yao. Nonparametric prediction in the multivariate spatial context. Journal of Nonparametric Statistics, American Statistical Association, 2016, 28 (2), pp.428-458. ⟨10.1080/10485252.2016.01.007⟩. ⟨hal-01425932⟩
  • Aboubacar Amiri, Sophie Dabo-Niang, Mohamed Yahaya. Non-parametric recursive density estimation for spatial data. Comptes Rendus. Mathématique, Académie des sciences (Paris), 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, Springer Verlag (Germany), 2016, 26 (5), pp.929-943. ⟨10.1007/s11222-015-9585-2⟩. ⟨hal-01052447v2⟩
  • Sophie Dabo-Niang, Serge Guillas, Camille Ternynck. More efficient kernel functional regression estimation with correlated errors. Journal of Multivariate Analysis, Elsevier, 2016, ⟨10.1016/j.jmva.2016.01.007⟩. ⟨hal-01425933⟩
  • Charles Herbaux, Elisabeth Bertrand, Guillemette Marot, Christophe Roumier, Nicolas Poret, et al.. BACH2 promotes indolent clinical presentation in Waldenström macroglobulinemia. Oncotarget, Impact journals, 2016. ⟨hal-01423307⟩
  • Pierre Masselot, Sophie Dabo-Niang, Fateh Chebana, Taha B.M.J. Ouarda. Streamflow forecasting using functional regression. Journal of Hydrology, Elsevier, 2016, 538, pp.754-766. ⟨10.1016/j.jhydrol.2016.04.048⟩. ⟨hal-01425931⟩
  • Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Latent class model with conditional dependency per modes to cluster categorical data. Advances in Data Analysis and Classification, Springer Verlag, 2016, 10 (2), pp.183-207. ⟨10.1007/s11634-016-0250-1⟩. ⟨hal-00950112v2⟩
  • Julien Jacques, Cyril Ruckebusch. Model-based co-clustering for hyperspectral images. Journal of Spectral Imaging, IM Publications, 2016, 5, pp.a3-1 - a3-6. ⟨10.1255/jsi.2016.a3⟩. ⟨hal-01367941⟩
  • Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Model-based clustering for conditionally correlated categorical data. Journal of Classification, Springer Verlag, 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, Société française de statistique, 2015, 3 (1), pp.19-22. ⟨hal-01198435⟩
  • Serge Iovleff. Probabilistic Auto-Associative Models and Semi-Linear PCA. Advances in Data Analysis and Classification, Springer Verlag, 2015, 9 (3), pp.20. ⟨10.1007/s11634-014-0185-3⟩. ⟨hal-00734070v2⟩
  • 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, University of California, Los Angeles, 2015, 67 (6), pp.241-270. ⟨10.18637/jss.v067.i06⟩. ⟨hal-00919486⟩
  • 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, American Association for Cancer Research, 2015, 21 (22), ⟨10.1158/1078-0432.CCR-15-0646⟩. ⟨hal-01230058⟩
  • Charles Bouveyron, Etienne Côme, Julien Jacques. The discriminative functional mixture model for a comparative analysis of bike sharing systems . Annals of Applied Statistics, Institute of Mathematical Statistics, 2015, 9 (4), pp.1726-1760. ⟨10.1214/15-AOAS861⟩. ⟨hal-01024186v3⟩
  • Sophie Dabo-Niang, Camille Ternynck, Fateh Chebana, Mohamed Ali Ben Alaya, Taha Ouarda. Streamflow hydrograph classification using functional data analysis. Journal of Hydrometeorology, American Meteorological Society, 2015, ⟨10.1175/JHM-D-14-0200.1⟩. ⟨hal-01206807⟩
  • Sophie Dabo-Niang, Ali Laksaci, Zoulikha Kaid. On spatial conditional quantile estimation for a functional regressor. AStA Advances in Statistical Analysis, Springer Verlag, 2015. ⟨hal-01206774⟩
  • Sophie Dabo-Niang, Guy-Martial Nkiet, Stéphane Bouka. Non-parametric level set estimation for spatial data. Advances and Applications in Statistics, Pushpa Publishing House, 2015, 46 (2), pp.119 - 158. ⟨10.17654/ADASAug2015_119_158⟩. ⟨hal-01206787⟩
  • 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, Elsevier, 2015, 353 (7), pp.635 - 639. ⟨10.1016/j.crma.2015.04.004⟩. ⟨hal-01206781⟩
  • 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, BioMed Central, 2014, 15, pp.394. ⟨10.1186/s12859-014-0394-y⟩. ⟨hal-00933614v3⟩
  • Julien Jacques, Cristian Preda. Model-based clustering for multivariate functional data. Computational Statistics and Data Analysis, Elsevier, 2014, 71, pp.92-106. ⟨10.1016/j.csda.2012.12.004⟩. ⟨hal-00713334v2⟩
  • Julien Jacques, Cristian Preda. Functional data clustering: a survey. Advances in Data Analysis and Classification, Springer Verlag, 2014, 8 (3), pp.24. ⟨10.1007/s11634-013-0158-y⟩. ⟨hal-00771030⟩
  • 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, BioMed Central, 2014, 13 (1), pp.151. ⟨10.1186/1476-4598-13-151⟩. ⟨hal-01011012⟩
  • Andrea Rau, Guillemette Marot, Florence Jaffrezic. Differential meta-analysis of RNA-seq data from multiple studies. BMC Bioinformatics, BioMed Central, 2014, 15 (1), pp.91. ⟨10.1186/1471-2105-15-91⟩. ⟨hal-00978902⟩
  • 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, Springer Verlag, 2014, 99 (2), pp.131--160. ⟨10.1007/s10182-014-0233-5⟩. ⟨hal-01592786⟩
  • Alexandru Amarioarei, Cristian Preda. Approximations for two-dimensional discrete scan statistics in some block-factor type dependent models. Journal of Statistical Planning and Inference, Elsevier, 2014, 151-152, pp.14. ⟨10.1016/j.jspi.2014.05.002⟩. ⟨hal-01092993⟩
  • 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, Springer Verlag, 2014, pp.21. ⟨10.1007/s10260-013-0239-2⟩. ⟨hal-00921178⟩
  • Emil Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki. Mixture of Gaussians for Distance Estimation with Missing Data. Neurocomputing, Elsevier, 2014, 131, pp.32-42. ⟨10.1016/j.neucom.2013.07.050⟩. ⟨hal-00921023v2⟩
  • 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, Springer Verlag (Germany), 2014, 28, pp.2075-2099. ⟨10.1007/s00477-014-0903-6⟩. ⟨hal-01094743⟩
  • Loïc Yengo, Julien Jacques, Christophe Biernacki. Variable clustering in high dimensional linear regression models. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2014, Numéro spécial : analyse des données en grande dimension, 155 (2), pp.38-56. ⟨hal-00764927v2⟩
  • Julien Jacques, Quentin Grimonprez, Christophe Biernacki. Rankcluster: An R package for clustering multivariate partial rankings. The R Journal, R Foundation for Statistical Computing, 2014, 6 (1), pp.10. ⟨10.32614/rj-2014-010⟩. ⟨hal-00840692v3⟩
  • Julien Jacques, Christophe Biernacki. Model-based clustering for multivariate partial ranking data. Journal of Statistical Planning and Inference, Elsevier, 2014, 149, pp.201-217. ⟨hal-00743384⟩
  • 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, American Society for Biochemistry and Molecular Biology, 2013, 288 (43), pp.31127-31138. ⟨10.1074/jbc.M113.486589⟩. ⟨hal-00921150⟩
  • Christophe Biernacki, Alexandre Lourme. Gaussian Parsimonious Clustering Models Scale Invariant and Stable by Projection. Statistics and Computing, Springer Verlag (Germany), 2013, pp.21. ⟨hal-00688250⟩
  • Madison Giacofci, Sophie Lambert-Lacroix, Guillemette Marot, Franck Picard. Wavelet-based clustering for mixed-effects functional models in high dimension. Biometrics, Wiley, 2013, 69 (1), pp.31-40. ⟨10.1111/j.1541-0420.2012.01828.x⟩. ⟨hal-00782458⟩
  • Alexandru Amarioarei, Cristian Preda. Approximation for the Distribution of Three-dimensional Discrete Scan Statistic. Methodology and Computing in Applied Probability, Springer Verlag, 2013, pp.14. ⟨10.1007/s11009-013-9382-3⟩. ⟨hal-01092992⟩
  • Vincent Vandewalle, Christophe Biernacki, Gilles Celeux, Gérard Govaert. A predictive deviance criterion for selecting a generative model in semi-supervised classification. Computational Statistics and Data Analysis, Elsevier, 2013, 64, pp.220-236. ⟨10.1016/j.csda.2013.02.010⟩. ⟨hal-00778130⟩
  • Julien Jacques, Cristian Preda. Funclust: a curves clustering method using functional random variables density approximation. Neurocomputing, Elsevier, 2013, 112, pp.164-171. ⟨10.1016/j.neucom.2012.11.042⟩. ⟨hal-00628247v2⟩
  • Sophie Dabo-Niang, Anne-Françoise Yao. Spatial kernel density estimation for functional random variables. Metrika, Springer Verlag, 2013, 76, 1, pp.19-52. ⟨hal-00943638⟩
  • Alexandre Lourme, Christophe Biernacki. Simultaneous Gaussian Model-Based Clustering for Samples of Multiple Origins. Computational Statistics, Springer Verlag, 2013, 28, pp.371-391. ⟨10.1007/s00180-012-0305-5⟩. ⟨hal-00921041⟩
  • 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, Wiley, 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, Société Française de Statistique, 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, Oxford University Press (OUP), 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, Springer Verlag, 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, Elsevier, 2008, 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, Société française de statistique, 2002, 50 (2), pp.27-45. ⟨hal-02507754⟩

Conference papers

  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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. ⟨hal-03463798⟩
  • Christophe Biernacki. Le sport face aux jeux (de données). Session Olympique Universitaire (SOU), Sep 2021, Lille, France. ⟨hal-03505657⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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. ⟨hal-03505636⟩
  • 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. ⟨hal-03278470⟩
  • 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⟩
  • Valentina Zantedeschi, Matt J Kusner, Vlad Niculae. Learning Binary Decision Trees by Argmin Differentiation. International Conference on Machine Learning, Jun 2021, Virtual, United Kingdom. ⟨hal-03399069⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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. ⟨hal-03430821⟩
  • 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. ⟨hal-03425405⟩
  • 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. ⟨hal-02401290⟩
  • 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. ⟨hal-03515286⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Benjamin Guedj, Juliette Rengot. Non-linear aggregation of filters to improve image denoising. Computing Conference 2020, Jul 2020, London, United Kingdom. ⟨hal-02086856v2⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Alexandru Amarioarei, Cristian Preda. Scan statistics for some dependent models. Applications.. STATMOD2020 Statistical Modeling with Applications, Nov 2020, Bucharest, Romania. ⟨hal-03141585⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Zakaria Mhammedi, Peter Grünwald, Benjamin Guedj. PAC-Bayes Un-Expected Bernstein Inequality. NeurIPS 2019, Dec 2019, Vancouver, Canada. ⟨hal-02401295⟩
  • Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi. SPONGE: A generalized eigenproblem for clustering signed networks. AISTATS, Apr 2019, Okinawa, Japan. ⟨hal-02379505⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Vincent Vandewalle, Matthieu Marbac. A tractable multi-partitions clustering. COMPSTAT 2018 - 23rd International Conference on Computational Statistics, Aug 2018, Iasi, Romania. ⟨hal-01956922⟩
  • 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: Performing clustering. Summer School on Clustering, Data Analysis and Visualization of Complex Data, May 2018, Catania, Italy. ⟨hal-01810376⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Anne-Lise Bedenel, Laetitia Jourdan, Christophe Biernacki. Estimation de probabilités par algorithme génétique. ROADEF2018, Feb 2018, Lorient, France. ⟨hal-01868195⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Serge Iovleff, Seydou Nourou Sylla. blockcluster, simerge and C++ with R. Mixture Models: Theory and Applications, Jun 2018, Paris, France. ⟨hal-01884822⟩
  • 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. 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Faicel Chamroukhi, Christophe Biernacki. Model-Based Co-Clustering of Multivariate Functional Data. ISI 2017 - 61st World Statistics Congress, Jul 2017, Marrakech, Morocco. ⟨hal-01653782⟩
  • 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⟩
  • 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. 48èmes Journées de Statistique organisée par la Société Française de Statistique, 2016, Montpellier, France. ⟨hal-01383927⟩
  • 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⟩
  • 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⟩
  • Maxime Brunin, Christophe Biernacki, Alain Celisse. Compromis pr écision-temps de calcul appliqu é au problèeme de d étection de ruptures. 48èmes Journées de Statistique de la SFdS, May 2016, Montpellier, France. ⟨hal-01420669⟩
  • 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, Christophe Biernacki. Model-Based Co-clustering for Ordinal Data. Working Group on Model-Based Clustering Summer Session, Jul 2016, Paris, France. ⟨hal-01420648⟩
  • Julien Jacques, Cyril Ruckebusch. Co-clustering for hyperspectral images.. 6th International Conference in Spectral Imaging, Jul 2016, Chamonix, France. ⟨hal-01383918⟩
  • 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⟩
  • 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⟩
  • Serge Iovleff. Rtkpp: Un package pour faire l'interface entre R et la bibliothèque STK++. Quatrièmes Rencontres R, Jun 2015, Grenoble, France. ⟨hal-01253792⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • C Biernacki. Clustering: evolution of methods to meet new challenges. Journée thématique Clustering, Orange Labs, Oct 2015, Issy Les Moulineaux, France. ⟨hal-01253394⟩
  • Sophie Dabo-Niang. Spatial Risk estimation and Applications. African Women in Mathematics Association Conference, Jul 2015, Navaisha, Kenya. ⟨hal-01206866⟩
  • Charles Bouveyron, Julien Jacques. funFEM: an R package for functional data clustering. Quatrième Rencontres R, 2015, Grenoble, France. ⟨hal-01383951⟩
  • 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⟩
  • Julien Jacques. Clustering multivariate ranking data. 60th World Statistics Congress – ISI2015, Jul 2015, Rio de Janeiro, Brazil. ⟨hal-01241256⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Christophe Biernacki. MixtComp software: Model-based clustering/imputation with mixed data, missing data and uncertain data. MISSDATA 2015, Jun 2015, Rennes, France. ⟨hal-01253393⟩
  • 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 application to biomedical data. Tunisian Association of Statistics and Applications Conference, Mar 2015, Hammamet, Tunisia. ⟨hal-01206865⟩
  • 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⟩
  • 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⟩
  • 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, Serge Guillas, Camille Ternynck. Efficiency in functional nonparametric models withautoregressive errors. ERCIM, Dec 2014, Pise, Italy. ⟨hal-01094762⟩
  • Quentin Grimonprez, Alain Celisse, Guillemette Marot. Analyse multi-patients de données génomiques. 46e Journées de Statistique, SFDS, Jun 2014, Rennes, France. ⟨hal-01091476⟩
  • Sophie Dabo-Niang. Streamflow forecasting using functional regression. STAHY 14, Nov 2014, Abu-Dhabi, United Arab Emirates. ⟨hal-01206858⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Sophie Dabo-Niang. Spatial Data Analysis. 8th International conference of Sousse ISG, Sousse, May 2013, Sousse, Tunisie. ⟨hal-00943641⟩
  • 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⟩
  • Julien Jacques. Generative models for classification and clustering of spectroscopic data. Chimiométrie 2012, 2012, France. ⟨hal-00944002⟩
  • 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⟩
  • Julien Jacques, Cristian Preda. Clustering multivariate functional data. COMPSTAT 2012, 2012, Cyprus. pp.353-366. ⟨hal-00943745⟩
  • Julien Jacques, Cristian Preda. Curves clustering with approximation of the density of functional random variables. ESANN 2012, 2012, Belgium. pp.459--464. ⟨hal-00944001⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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. 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⟩
  • 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, 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⟩
  • 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⟩
  • 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⟩
  • 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 communications

  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Mamadou Ndiaye, Sophie Dabo-Niang, Mohamed Salem Ahmed, Abdoulaye Sarré, Ahmed Taleb, 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⟩
  • 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⟩
  • 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⟩
  • Vincent Vandewalle. Simultaneous dimension reduction and multi-objective clustering. Statlearn’17, Lyon: 4-7 april 2017, Apr 2017, Lyon, France. ⟨hal-03183333⟩
  • 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, 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. 0010. ⟨hal-01424950⟩
  • 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⟩

Book sections

  • 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⟩
  • Mohamed Salem Ahmed, Laurence Broze, Sophie Dabo-Niang, Zied Gharbi. Functional Linear Spatial Autoregressive Models. Ramon Giraldo; Jorge Mateu. Geostatistical Functional Data Analysis: Theory and Methods, Wiley, 2021, 978-1-119-38784-8. ⟨hal-01810819⟩
  • 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. ⟨hal-01812238⟩
  • 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, John Wiley and Sons, Chichester. ISBN : 978-1-119-38784-8, 2021, Geostatistical Functional Data Analysis : Theory and Methods. ⟨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⟩

Directions of work or proceedings

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

Patents

  • 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 publications


Preprints, Working Papers, ...

  • Fathima Sainul, Sophie Dabo-Niang, Akim Adekpedjou. Modelling Spatially Clustered Failure Time Data via Multivariate Gaussian Random Fields. 2022. ⟨hal-03527477⟩
  • Jiale Wei, Qiyuan Chen, Pai Peng, Benjamin Guedj, Le Li. Reprint: a randomized extrapolation based on principal components for data augmentation. 2022. ⟨hal-03659407⟩
  • Felix Biggs, Benjamin Guedj. Non-Vacuous Generalisation Bounds for Shallow Neural Networks. 2022. ⟨hal-03557415⟩
  • Eglantine Karlé, Hemant Tyagi. Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method. 2022. ⟨hal-03519271⟩
  • Christelle Agonkoui, Sophie Dabo-Niang, Freedath Djibril Moussa. Multivariate Functional Principal Component Analysis for stratified data. 2022. ⟨hal-03527475⟩
  • Michaël Fanuel, Hemant Tyagi. Recovering Hölder smooth functions from noisy modulo samples. 2022. ⟨hal-03511325⟩
  • Guillaume Braun, Hemant Tyagi, Christophe Biernacki. An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. 2022. ⟨hal-03526257⟩
  • Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi. Measuring dissimilarity with diffeomorphism invariance. 2022. ⟨hal-03573479⟩
  • Antoine Vendeville, Benjamin Guedj, Shi Zhou. Depolarising Social Networks: Optimisation of Exposure to Adverse Opinions in the Presence of a Backfire Effect. 2022. ⟨hal-03600429⟩
  • 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⟩
  • Antonin Schrab, Wittawat Jitkrittum, Zoltán Szabó, Dino Sejdinovic, Arthur Gretton. Discussion of `Multiscale Fisher's Independence Test for Multivariate Dependence'. 2022. ⟨hal-03709218⟩
  • Reuben Adams, John Shawe-Taylor, Benjamin Guedj. Controlling Confusion via Generalisation Bounds. 2022. ⟨hal-03573458⟩
  • Antonin Schrab, Benjamin Guedj, Arthur Gretton. KSD Aggregated Goodness-of-fit Test. 2022. ⟨hal-03554423⟩
  • Stefano Nasini, Thomas Ringo Tchouya, Sophie Dabo-Niang. An estimation framework for the influential-imitator diffusion. 2022. ⟨hal-03527489⟩
  • Maxime Haddouche, Benjamin Guedj. Online PAC-Bayes Learning. 2022. ⟨hal-03701105⟩
  • Camille Frévent, Mohamed-Salem Ahmed, Sophie Dabo-Niang, Michaël Genin. Investigating spatial scan statistics for multivariate functional data. 2022. ⟨hal-03527471⟩
  • Antonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton. Efficient Aggregated Kernel Tests using Incomplete $U$-statistics. 2022. ⟨hal-03701416⟩
  • Antonin Schrab, Ilmun Kim, Mélisande Albert, Béatrice Laurent, Benjamin Guedj, et al.. MMD Aggregated Two-Sample Test. 2022. ⟨hal-03408976v2⟩
  • Serge Iovleff. A New Probabilistic Representation of the Alternating Zeta Function and a New Selberg-like Integral Evaluation. 2022. ⟨hal-03612591⟩
  • Antoine Picard-Weibel, Benjamin Guedj. On change of measure inequalities for $f$-divergences. 2022. ⟨hal-03573465⟩
  • Felix Biggs, Valentina Zantedeschi, Benjamin Guedj. On Margins and Generalisation for Voting Classifiers. 2022. ⟨hal-03700887⟩
  • Sophie Dabo-Niang, Baba Thiam, Thomas Verdebout. Asymptotic efficiency of some nonparametric tests for location on hyperspheres. 2022. ⟨hal-03527763⟩
  • Tchamiè Tchazino, Aliou Diop, Sophie Dabo-Niang. Conditional tail and quantile estimation for real-valued β-mixing spatial data. 2022. ⟨hal-03668211⟩
  • Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey. Cluster-Specific Predictions with Multi-Task Gaussian Processes. 2022. ⟨hal-03009276v2⟩
  • 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⟩
  • Filippo Antonazzo, Christophe Biernacki, Christine Keribin. Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach. 2021. ⟨hal-03485364⟩
  • Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki. Interpretable Domain Adaptation Using Unsupervised Feature Selection on Pre-trained Source Models. 2021. ⟨hal-03325509⟩
  • 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⟩
  • Aude Sportisse, Matthieu Marbac, Christophe Biernacki, Claire Boyer, Gilles Celeux, et al.. Model-based Clustering with Missing Not At Random Data. 2021. ⟨hal-03494674v2⟩
  • Sophie Dabo-Niang, Solange Doumun, Jeremie Thouakesseh Zoueu. A Novel Unstained Blood Smears Multispectral Images Normalization. Application to Unstained Malaria Infected Blood Smear.. 2021. ⟨hal-03133828⟩
  • Tchazino Tchamie, Sophie Dabo-Niang, Aliou Diop. Estimation of extreme tail index for β−mixing random fields. 2021. ⟨hal-03133830⟩
  • Tchamiè Tchazino, Sophie Dabo-Niang, Aliou Diop. Tail and quantile estimation for real-valued β-mixing spatial data. 2021. ⟨hal-03457114⟩
  • Cristian Preda, Quentin Grimonprez, Vincent Vandewalle. cfda: an R Package for Categorical Functional Data Analysis. 2020. ⟨hal-02973094⟩
  • Michael P B Gallaugher, Christophe Biernacki, Paul D Mcnicholas. Parameter-Wise Co-Clustering for High-Dimensional Data. 2020. ⟨hal-01862824v3⟩
  • Théophile Cantelobre, Benjamin Guedj, María Pérez-Ortiz, John Shawe-Taylor. A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings. 2020. ⟨hal-03046401⟩
  • Florent Dewez, Benjamin Guedj, Arthur Talpaert, Vincent Vandewalle. An end-to-end data-driven optimisation framework for constrained trajectories. 2020. ⟨hal-03024720⟩
  • Alain Celisse, Martin Wahl. Analyzing the discrepancy principle for kernelized spectral filter learning algorithms. 2020. ⟨hal-02548917⟩
  • Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor. Upper and Lower Bounds on the Performance of Kernel PCA. 2020. ⟨hal-03084598⟩
  • Serge Iovleff, Seydou Nourou Sylla, Cheikh Loucoubar. Block clustering of Binary Data with Gaussian Co-variables. 2020. ⟨hal-01961978v2⟩
  • Gildas Mazo, Yaroslav Averyanov. Constraining kernel estimators in semiparametric copula mixture models. 2019. ⟨hal-01774629v3⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • Stephane Bouka, Sophie Dabo-Niang, Guy Martial Nkiet. On estimation in spatial functional linear regression model. 2016. ⟨hal-01516615⟩
  • Le Li, Benjamin Guedj, Sébastien Loustau. Clustering en ligne : le point de vue PAC-bayésien. 2016. ⟨hal-01264934⟩
  • Alain Celisse, Guillemette Marot, Morgane Pierre-Jean, Guillem Rigaill. New efficient algorithms for multiple change-point detection with kernels. 2016. ⟨hal-01413230v2⟩
  • Sophie Dabo-Niang, Mohamed Salem Ahmed. Generalized Functional Linear Models under Choice-Based Sampling. 2016. ⟨hal-01345918⟩
  • Alain Celisse, Benjamin Guedj. Stability revisited: new generalisation bounds for the Leave-one-Out. 2016. ⟨hal-01355365⟩
  • Sophie Dabo-Niang, Aladji Bassene, Aliou Diop. Kernel estimation of conditional tail index and quantile estimation for random fields . 2015. ⟨hal-01206829⟩
  • Julie Hamon, Gaël Even, Romain Dassonneville, Julien Jacques, Clarisse Dhaenens. Use of a novel evolutionary algorithm for genomic selection. 2015. ⟨hal-01100660⟩
  • Sophie Dabo-Niang, Aliou Diop, Aladji Bassene. A note on conditional tail index estimation for random fields.. 2015. ⟨hal-01206809⟩
  • Alain Celisse, Tristan Mary-Huard. Theoretical analysis of cross-validation for estimating the risk of the k-Nearest Neighbor classifier . 2015. ⟨hal-01185092v2⟩
  • 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⟩
  • Sophie Dabo-Niang, Aboubacar Amiri, Mohamed Yahaya. Non-parametric recursive density estimation for space-time data-stream. 2015. ⟨hal-01206833⟩
  • Jérémie Kellner, Alain Celisse. A One-Sample Test for Normality with Kernel Methods. 2015. ⟨hal-01175237⟩
  • Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle. Classification de données mixtes par un modèle de mélange de copules gaussiennes.. 2014. ⟨hal-00940613⟩
  • Jérémie Kellner, Alain Celisse. New normality test in high dimension with kernel methods. 2014. ⟨hal-00977839⟩
  • 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⟩
  • Andrea Rau, Guillemette Marot, Florence Jaffrezic. Differential meta-analysis of RNA-seq data from multiple studies. 2013. ⟨hal-00834369⟩

Reports

  • 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. [Other] 2018, 23 p. ⟨hal-02788582⟩
  • Jérémie Kellner, Alain Celisse. New goodness-of-fit tes for normality in RKHS. [Research Report] Inria. 2014. ⟨hal-00943669⟩
  • Sophie Dabo-Niang, Camille Ternynck, Anne-Françoise Yao. A new spatial regression estimator in the multivariate context. [Research Report] 2014. ⟨hal-00943646⟩
  • Stéphane Bouka, Sophie Dabo-Niang, Ghislaine Gayraud, Guy-Martial Nkiet. Minimax testing in a spatial discrete regression scheme. [Research Report] 2014. ⟨hal-00943645⟩
  • 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⟩

Theses

  • Yaroslav Averyanov. Designing and analyzing new early stopping rules for saving computational resources. Statistics [math.ST]. Université de Lille; Inria, 2020. English. ⟨tel-03133391⟩
  • 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. ⟨tel-02399068⟩
  • 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. ⟨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. ⟨tel-02399081⟩
  • 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. ⟨tel-01249789⟩
  • Alexandru Amarioarei. Approximations for Multidimensional Discrete Scan Statistics. Probability [math.PR]. Université de Lille 1, 2014. English. ⟨tel-01105214⟩
  • Matthieu Marbac-Lourdelle. Model-based clustering for categorical and mixed data sets. Statistics [math.ST]. université lille 1, 2014. English. ⟨tel-01076418⟩

Habilitation à diriger des recherches

  • 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⟩

Lectures

  • Christophe Biernacki. Traitement statistique des données manquantes-Part I Introduction to modeling. Doctorat. France. 2022. ⟨hal-03505648⟩
  • 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⟩
  • Christophe Biernacki. Traitement statistique des donn ́ees manquantes-Part III Missing not at random data (MNAR). Doctoral. France. 2021. ⟨hal-03505651⟩
  • 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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