University of Paris
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Professor in Machine Learning
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Head of the "Machine Learning for Data Science" Team
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Director of the "Machine Learning for Data Science" Master
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Centre BORELLI, University de Paris
45, rue des Saints Pères, 75270, Paris -
mohamed.nadif@parisdescartes.fr
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Tel : (+33) (0)1 76 53 03 08
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Office : 705 O
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Co-author Book : Co-clustering
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Associate Editor Journal Advances in Data Analysis and Classification (ADAC)
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Head of Master Miage Mention Paris Descartes
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President of Société Francophone de Classification
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Research Interests: Machine Learning, AI, Data Science, Unsupervised Learning, Mixture models, Latent block models, Coclustering, Factorization, Text Mining, Bioinformatics, Collaborative Filtering
Recent Member of Program Committees/Reviewer
International/National Conferences
International Journals
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IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
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IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
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IEEE Transactions on Knowledge and Data Engineering (TKDE)
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Advances in Data Analysis and Classification (ADAC)
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Pattern Recognition (PR)
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Computational Statistics and Data Analysis (CSDA)
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Statistics and Computing (SC)
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IEEE Journal of Biomedical and Health Informatics (JBHI)
Teaching and Master MLDS
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Co-clustering under diffirent approaches (Master 2 Machine Learning for Data Science Master-MLDS)
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Diemensionality Reduction (Master 2 Machine Learning for Data Science Master-MLDS)
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Mixture Model-based Clustering (Master 2 Machine Learning for Data Science Master-MLDS)
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Data Science I, II (Master 1 in Computer Science-MLDS)
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Traitement Numérique de données (Licence 3 in Computer Science)
Phd-Students
Current Phd-Students
Recent Phd-Students
Recent Projects
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Research Contract with Thales: Hybridation d'algorithmes d'IA avec des connaissances métier pour le transport ferroviaire (since 2019)
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Research Contract with Brigad: Apprentissage profond pour la prédiction de l'attrition (since 2019)
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Research Contract with Trinov: Apprentissage non supervisé pour une meilleure gestion des dechets (2017-2020)
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Research Contract with Kernix: Co-clustering à grande échelle pour l’analyse statique et dynamique de sites Web (2016-2020)
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Research Contract with Centre de Recherche Public Gabriel Lippmann in Luxembourg: Fouille visuelle et interactive de flux d'événements (2014-2018)
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Project IDEX EDAGWAS: Exploratory Data Analysis for Genome-wide Association Studies (2013-2016)
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Research Contract with Airbus in Toulouse: Advanced Data Mining Techniques for Prognostic and Health Management (2013-2016)
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ANR Project ClasSel: Co-clustering and Model Selection (2009-2012)
Publications