Plenary Sessions

Clustering with Data Embedding

Mohamed Nadif is Professor of Machine Learning at the Université Paris Descartes, and director of the research group "Machine Learning for Data Science" at the same university. Dr. Nadif is the president of the "Société Francophone de Classification", author of multiple scientific publications of international importance, and is a member of the bodies of editors in scientific journals. His main research interests are: Machine Learning, AI, Data Science, Unsupervised Learning, Mixture models, Latent block models, Coclustering, Factorization, Text Mining, Bioinformatics, Collaborative Filtering.

A Regression Perspective of Binary and Multi-Class Support Vector Machines

Patrick J.F. Groenen is a Professor of Statistics at the Erasmus  School of Economics (ESE) in Rotterdam.  He currently is also the dean of that school. Professor Groenen's work focuses on data science techniques and their numerical algorithms. He is the co-author of several textbooks on multidimensional scaling published by Springer and has published articles in the top peer-reviewed journals including, among others, the Journal of Machine Learning Research, the Journal of Marketing Research, Psychological Methods, Psychometrika, the Journal of Classification, Computational Statistics, and Data Analysis, and the Journal of Empirical Finance. He was president of the International Association for Statistical Computing (IASC-ISI), a section of the International Statistical Institute.

https://www.erim.eur.nl/people/patrick-groene