Safa Alsaidi


Safa AlsaidiSafa Alsaidi
PhD student
Email: safa.alsaidi@inria.fr
Office address: PariSanté Campus, 2-10 rue d’Oradour-sur-Glane, 75015 Paris
Webpage: LinkedIn
Bio: My topic is on “Patient representation learning for analogical reasoning in healthcare”.

Research projects


Publications

Publications HAL de safa, alsaidi

2022

Conference papers

ref_biblio
Safa Alsaidi, Miguel Couceiro, Esteban Marquer, Sophie Quennelle, Anita Burgun, et al.. An analogy based framework for patient-stay identification in healthcare. ATA@ICCBR 2022 – Workshop Analogies: from Theory to Applications, Sep 2022, Nancy, France. ⟨hal-03763772⟩
Accès au texte intégral et bibtex
https://inria.hal.science/hal-03763772/file/ICCBR_2022_Workshop_paper_76%20%281%29.pdf BibTex
ref_biblio
Esteban Marquer, Safa Alsaidi, Amandine Decker, Pierre-Alexandre Murena, Miguel Couceiro. A Deep Learning Approach to Solving Morphological Analogies. 30th International Conference on Case-Based Reasoning (ICCBR2022), Sep 2022, Nancy, France. pp.159–174, ⟨10.1007/978-3-031-14923-8_11⟩. ⟨hal-03660625⟩
Accès au texte intégral et bibtex
https://inria.hal.science/hal-03660625/file/ICCBR___Analogy_Solving_by_Retrieval_in_Morphology___LNCS.pdf BibTex
ref_biblio
Safa Alsaidi, Miguel Couceiro, Sophie Quennelle, Anita Burgun, Nicolas Garcelon, et al.. Exploring Analogical Inference in Healthcare. IARML@IJCAI-ECAI’2022: Workshop on the Interactions between Analogical Reasoning and Machine Learning, at IJCAI-ECAI’2022, Jul 2022, Vienna, Austria. ⟨hal-03955354⟩
Accès au texte intégral et bibtex
https://inria.hal.science/hal-03955354/file/paper4.pdf BibTex

2021

Conference papers

ref_biblio
Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, et al.. A Neural Approach for Detecting Morphological Analogies. DSAA 2021 – 8th IEEE International Conference on Data Science and Advanced Analytics, Oct 2021, Porto/Online, Portugal. pp.1-10. ⟨hal-03313556⟩
Accès au texte intégral et bibtex
https://inria.hal.science/hal-03313556/file/DSAA2021___NN_for_Morhological_Analogy_Classification___IEEE_Conference_Template.pdf BibTex
ref_biblio
Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, et al.. On the Transferability of Neural Models of Morphological Analogies. AIMLAI 2021 – workshop on Advances in Interpretable Machine Learning and Artificial Intelligence, Sep 2021, Bilbao/Virtual, Spain. pp.76-89. ⟨hal-03313591⟩
Accès au texte intégral et bibtex
https://inria.hal.science/hal-03313591/file/AIMLAI2021___On_the_Transferability_of_Neural_Models_of_Morphological_Analogy.pdf BibTex

Poster communications

ref_biblio
Safa Alsaidi, Amandine Decker, Puthineath Lay, Esteban Marquer, Pierre-Alexandre Murena, et al.. A Neural Approach for Detecting Morphological Analogies. IEEE DSAA 2021 – The 8th IEEE International Conference on Data Science and Advanced Analytics, Oct 2021, Porto / Online, Portugal. , IEEE DSAA 2021. ⟨hal-03328841⟩
Accès au texte intégral et bibtex
https://inria.hal.science/hal-03328841/file/2021_09_DSAA_poster.pdf BibTex

Preprints, Working Papers, …

ref_biblio
Safa Alsaidi, Amandine Decker, Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro. Tackling Morphological Analogies Using Deep Learning — Extended Version. 2021. ⟨hal-03425776⟩
Accès au bibtex
https://arxiv.org/pdf/2111.05147 BibTex


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