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- | < | + | ^ PhD ^ Co-supervisor ^ Subject ^ Dates ^ |
+ | | G. Frisch| J.-B. Leger | Co-clustering for collaborative filtering | 2018-2021 | | ||
+ | | F. Cara | N. Boudaoud (Roberval) | Machine learning in industrial diagnosis and process control | 2018-2022 | | ||
+ | | A. Loukkal| | Localization and semantic segmentation with a cartographic prior | 2017-2021 | | ||
+ | | X. Li | F. Davoine | Regularization for deep transfer learning | 2016-2019 | | ||
+ | | S. A. Puthiya Parambath | N. Usunier | New methods for learning with multiple objectives | 2013-2016 | | ||
+ | | A. Garcia-Duran | A. Bordes, N. Usunier | Learning representations in multi-relational graphs: algorithms and applications | 2013-2016 | | ||
+ | | J.-M. Bécu | C. Ambroise (LaMME) | Uncertainty in Sparse Regression | 2012-2015 | | ||
+ | | X. Liu | A. Bordes | Weakly Supervised Bio-NLP | 2011-2014 | | ||
+ | | L. F. Sanchez | G. Govaert | Sparse Classification and Clustering | 2010-2013 | | ||
+ | | A. Lomet | G. Govaert | Model Selection for the Latent Block Model | 2009-2012| | ||
+ | | M. Szafranski | P. Morizet | Hierarchical Penalization for Incorporating Knowledge in Statistical Model | 2005-2008 | | ||
+ | | R. Hérault | F. Davoine | Vision and Statistical Learning for Characterizing Human Behavior | 2004-2007 | | ||
+ | | M. Avalos | C. Ambroise | Parsimonious Additive Models | 2001-2004 | | ||
+ | | S. G. Maquiné de Souza | T. Denœux | Wastewater Sludge Processing by Image Analysis | 2000-2005 | | ||
+ | | J. François | | Data and knowledge fusion: an evolutive approach to diagnosis | 1997-2000 | | ||
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