The INIT/AERFAI Summer School on Machine Learning is organized by the Institute of New Imaging Technologies of the University Jaume I of Castelló, and co-sponsored by the Spanish Association of Pattern Recognition and Image Analysis. The focus of this Summer School is to study fundamental and advanced methods aimed at discovering new challenges and trends of Machine Learning, Data Analysis and Data Mining, from theory to practice. This event is open to graduate students, researchers and professionals who are interested in learning or refreshing their knowledge about this exciting field.

The Summer School is organized as a five-days intensive course to be held June 15-19, 2020 in Benicàssim (Spain). Leading experts in their respective areas shall give each tutorial, which may be accompanied with a practice session and/or demos in order for participants to gain a better understanding of the theory. There will also be a non-formal poster session in which the participants can present their current works and interact with their scientific peers. The best poster will be awarded with a prize.

LECTURERS

Feature Selection and Casuality
Dr. Gavin Brown – University of Manchester (UK)

Probabilistic Graphical Models
Prof. Thomas D. Nielsen – Aalborg University (Denmark)

Ensemble Learning for Data Stream Analysis
Prof. dr. Michał Woźniak – Wroclaw University of Science and Technology (Poland)

Adversarial Machine Learning
Dr. Battista Biggio – University of Cagliari (Italy)

Semi-Supervised, Active and Transfer Learning
Dr. Marco Loog – Delft University of Technology (The Netherlands) and University of Copenhagen (Denmark)

Reinforcement Learning
Prof. Olivier Pietquin – Google Brain (France)

Multi-Criteria Decision Analysis for Machine Learning
Dr. Luis C. Dias – University of Coimbra (Portugal)

Statistical Analysis for Machine Learning Experiments
Prof. dr. Janez Demšar – University of Ljubljana (Slovenia)

Big Data Preprocessing: Smart Data
Prof. Salvador García, Dr. Julián Luengo – University of Granada (Spain)