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«Ignorance leads to fear, fear leads to hatred and hatred leads to violence. That's the equation» (Ibn Roshd, ابن رشد, Averroès, 1126-1198) « Raise your words, not voice. It is rain that grows flowers, not thunder » (Jalal Ad-Din Rumi, 1207-1273) |
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 - Ministère
de l'Enseignement Supérieur, de la Recherche et de l'Innovation.
Latest research:
«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:
- 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
