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Showing results 1 to 10 on 133 in total
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Stochastic models, multi-agent models and social simulations
This theme focuses on modeling and simulation approaches, particularly multi-agent, for complex human, social and economic systems.
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Signals and time series, learning and representations
This theme covers a wide range of topics linked to the analysis and processing of signals and time series, with applications in medicine, biology and industry.
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PhD defense of Mira AIT SAADA
Title: Unsupervised Learning from Textual Data with Neural Text Representations
Supervision: Mohamed Nadif
Defended on 18/04/2023 -
PhD defense of Chakib FETTAL :
Title: Contributions to Scalable Clustering of Networks and Graphs
Supervision: Mohamed Nadif, Lazhar Labiod
Defended on 02/02/2024 -
PhD defense of Gonzalo QUINTANA
Title: Leveraging domain adaptation methods for federated learning applied to 2D mammography image classification
Supervision : M. Mougeot, A. Désolneux
Defended 06/12/24 room 1Z14 -
PhD defense of Thibaut GERMAIN
Title: Pattern detection and shape analysis for physiological time serie
Supervision: L. Oudre, C. Truong
Defended 06/12/24 Room 1Z18 -
Pablo ARIAS : Habilitation à diriger des recherches
Title: Video restoration: from patch-based methods to self-supervised learning
Defended on 28/11/24 Room 1Z18 -
PhD defense of Alexandre BOIS
Title: Topological data analysis for time series
Supervision: L. Oudre, B. Tervil
Defended 26/11/2024 room 1B26 -
Phd defense of Ahmed BEN SAAD
Title: Feeding CNNs with prior knowledge
Supervision: G. Facciolo, E. Meinhardt, A. Davy
Defended on Oct. 24, 2024, room 1Z56 -
PhD defense of Antoine DE MATHELIN
Title: Towards reliable machine learning under domain shift and costly labeling, with applications to engineering design.
Supervision: M. Mougeot, N. Vayatis, F. Deheeger
Defended on Oct. 9th 2024, Room 1B26