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Sparsity Inducing Penalties, Representation learning, Co-Clustering, | Sparsity Inducing Penalties, Representation learning, Co-Clustering, | ||
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===== Current ===== | ===== Current ===== | ||
+ | ^ PhD candidate ^ Co-supervisor ^ Subject ^ Dates ^ | ||
+ | | Do, T. H.| Nguyen V. L.| Probabilistic Graphical Models for Complex Learning Tasks | 2023-2026 | | ||
+ | | Urbani N.| S. Rousseau | Detection of visual defects | 2021-2024 | | ||
+ | | Carvalho P. | A. Durupt (Roberval) | Machine learning in industrial diagnosis and process control | 2021-2024 | | ||
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===== Former ===== | ===== Former ===== | ||
- | < | + | ^ PhD ^ Co-supervisor ^ Subject ^ Dates ^ |
- | + | | G. Frisch| J.-B. Leger | Co-clustering for collaborative filtering | 2018-2021 | | |
- | <table border=" | + | | 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 |
- | < | + | | S. A. Puthiya Parambath |
- | < | + | | A. Garcia-Duran |
- | < | + | | J.-M. Bécu | C. Ambroise (LaMME) | Uncertainty in Sparse Regression |
- | < | + | | X. Liu | A. Bordes | Weakly Supervised Bio-NLP |
- | </ | + | | L. F. Sanchez | G. Govaert | Sparse Classification and Clustering |
- | </ | + | | A. Lomet | G. Govaert |
- | <tr> <td colspan=2 align=right valign=top> | + | | M. Szafranski |
- | </ | + | | R. Hérault | F. Davoine | Vision and Statistical Learning for Characterizing Human Behavior |
- | < | + | | M. Avalos |
- | < | + | | S. G. Maquiné |
- | </ | + | | J. François | | Data and knowledge fusion: an evolutive approach to diagnosis | 1997-2000 | |
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