Session 1 - Philosophical Aspects of Machine Learning
Prof. Marcello Pelillo – University of Venice (Italy)
Session 2 - Data mining methods for big data preprocessing
Prof. Francisco Herrera – University of Granada (Spain)
Session 3 - Feature selection and hypothesis testing for high-dimensional data
Dr. Gavin Brown – University of Manchester (UK)
Session 4 - Classifier ensembles
Prof. Ludmila I. Kuncheva – Bangor University (UK)
Session 5 - Graphical Models for Machine Learning
Dr. David Barber – University College London (UK)
Session 6 - Deep learning
Dr. Bernardete Ribeiro –University of Coimbra (Portugal)
Session 7 - Streaming big data analytics
Prof. Minos Garofalakis – Technical University of Crete (Greece)
Session 8 - Statistical analysis of Machine Learning experiments
Dr. Janez Demšar – University of Ljubljana (Slovenia)
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