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Dr.
Younès Bennani is currently Full Professor of exceptional class and
holder of a bonus for scientific excellence. Prof. Younès Bennani
research interests are in Machine Learning and Data Science.
Prof. Younès Bennani's areas of expertise are unsupervised learning,
deep learning, transfer learning, collaborative clustering,
dimensionality reduction, features selection, features construction,
data visualisation, and large-scale data mining. He has published 2
books and approximately 250 papers in refereed conferences procedings
or journals or as contributions in books. Prof. Younès Bennani is
the Vice-President for Digital Transformation at the Paris 13
University - Sorbonne Paris Cité.
Latest research:
«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:
- 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
