Lectures
Roundtable discussion - Visual Knowledge Discovery with Artificial Intelligence: Challenges and Future Directions
The meeting will be a panel book discussion of "Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery", Editors: Boris Kovalerchuk, Kawa Nazemi, Răzvan Andonie, Nuno Datia, Ebad Banissi, Publisher: Springer, 2022.
Visual Knowledge Discovery and Explainable AI/ML with Visual Means
Boris Kovalerchuk, Professor, Dept. of Computer Science at Central Washington University, USA
Explainability and Visualization for Text Classification
Diana Inkpen, School of Electrical Engineering and Computer Science, University of Ottawa, Canada
Dimensional Reduction Models and Visualization
Nistor Grozavu, ETIS Laboratory, CYU Cergy Paris University, France
Basarab Matei, Laboratoire d'Informatique de Paris Nord, Université Sorbonne Paris Nord, France
Multi-view and multi-modal visualization based on t-SNE and their variants
Nistor Grozavu, ETIS Laboratory, CYU Cergy Paris University, France
Basarab Matei, Laboratoire d'Informatique de Paris Nord, Université Sorbonne Paris Nord, France
Visualization using SOM and Neural Gas
Guénaël Cabanes, Laboratoire d'Informatique de Paris Nord, Université Sorbonne Paris Nord, France
Manipulation and Visualization of Time Series
Guénaël Cabanes, Laboratoire d'Informatique de Paris Nord, Université Sorbonne Paris Nord, France
Visualization and Information Aggregation in Deep Learning
Razvan Andonie, Computer Science Department, Central Washington University, USA