KEYNOTE

Plenary speech 1:

Title: TBD (to be deternined)             

Vladik Kreinovich

 Professor of University of Texas at El Paso, USA

Abstract:

TBD (to be deternined)

Biography:

Vladik Kreinovich is Professor of Computer Science at the University of Texas at El Paso. His main interests are representation and processing of uncertainty, especially interval computations and intelligent control. He has published 13 books, 39 edited books, and more than 1,800 papers.

Vladik is Vice President of the International Fuzzy Systems Association (IFSA), Vice President of the European Society for Fuzzy Logic and Technology (EUSFLAT), Fellow of International Fuzzy Systems Association (IFSA), Fellow of Mexican Society for Artificial Intelligence (SMIA), Fellow of the Russian Association for Fuzzy Systems and Soft Computing.

Plenary Speech 2:

Title: A Closer Look at Machine Learning and Explainable Machine Learning

Hung T. Nguyen

Professor of New Mexico State University (USA) & Chiang Mai University (Thailand)

Abstract: In view of current interests in Explainable AI (and XML) we take a closer look at Machine Learning and Explainable Machine Learning to evoke their root in Statistical Learning Theory. As Machine Learning has the flavor of reverse engineering, we will discuss, in particular, its explanation (and rationale) in terms of cooperative games and their Shapley values, and probability distributions of random sets..

Biography

Hung T. Nguyen is Emeritus Professor of Mathematical Sciences at New Mexico State University (USA) and Adjunct Professor of Economics at Chiang Mai University (Thailand). His current research interests include Quantum Probability, Random Sets in Data Science, Machine Learning, Coalitional Games and Wasserstein Statistics in Econometrics.

Plenary Speech 3