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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)
Younès Bennani received his PhD in Machine Learning from Paris-Saclay University. He is currently Full Professor in Computer Science at Paris 13 University-Sorbonne Paris Cité. Younès Bennani research interests are in Machine Learning and Data Science. His research focuses on unsupervised learning, deep learning, collaborative clustering. His recent work deals with the representations 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 (A3) at the computer lab. of Paris-Nord (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 Paris 13 University - Sorbonne Paris Cité - Ministère de l'Enseignement Supérieur, de la Recherche et de l'Innovation.


Latest research:

«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.

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«Advances in Domain Adaptation Theory»

Hardcover ISBN: 9781785482366
eBook ISBN: 9780081023471
ISTE - Elsevier, 2019



Master of Data Science & Machine Learning
Master EID2