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«Ignorance leads to fear, fear leads to hatred and hatred leads to violence. That's the equation» (Ibn Roshd, Averroès, 1126-1198) « Raise your words, not voice. It is rain that grows flowers, not thunder » (Jalal Ad-Din Rumi, 1207-1273) |
Younès Bennani received
his PhD in Machine Learning from Paris-Saclay University. He is
currently Full Professor of Computer Science at Sorbonne Paris Nord University. Younès Bennani
research interests are in Machine Learning and Data Science. His
research focuses on unsupervised learning,
deep learning, and collaborative clustering. His recent work deals with the
representations learning, federated learning, transfer learning and domain adaptation. He
is the founder and scientific director (from 2005 to 2011) of a team
whose main theme is Machine Learning and Applications at the
computer science lab. of Paris-Nord (LIPN - UMR 7030 CNRS). He has published 3
books and approximately 300 papers in refereed conferences proceedings
or journals or as contributions in books. Younès Bennani is
the Vice-President for Digital Transformation at the Sorbonne Paris Nord
University - Ministère
de l'Enseignement Supérieur, de la Recherche et de l'Innovation.
Latest research:
«A Survey on Domain Adaptation Theory», CoRR abs/2004.11829, 2020.
«Advances in Domain Adaptation Theory», ISBN: 9781785482366 - ISTE - Elsevier, 2019.
«A new sparse representation learning of complex data: application to dynamic clustering of web navigation», Pattern Recognition (The journal of Pattern Recognition Society), Elsevier, 2019.
«Collaborative
Clustering: Why, When, What and How»,
International Journal on
Information Fusion (Information Fusion), Elsevier, January
2018.
«Co-clustering through Optimal Transport», International Conference on Machine Learning (ICML'2017), Australia.
Scientific events:
- ISCV: «International Conference on Intelligent Systems and Computer Vision» IEEE conference.
- ETP: «Deep Learning & Data Science» Ecole Thématique de Printemps.
- CIF-SD: Conférence Internationale Francophone sur la Science des Données
- H2DM: International Workshop on High Dimensional Data Mining
