Explainable AI

Aleksandra Pizurica
Bart Goossens	Security of neural networks Robustness against adversarial perturbations
Bernard De Baets	Fuzzy logic Rule-based modelling
Dirk Van den Poel
Erik Mannens	Fusion of Semantics & ML Provenance Reasoning
Filip De Turck	Knowledge graph embeddings (to fuse domain knowledge into machine learning) Association rule mining Inductive Logic Programming Rule extraction/learning White-box machine learning Genetic algorithms
Guillaume Crevecoeur	System identification
Nico Van de Weghe	Spatiotemporal reasoning
Ruben Verborgh	Reasoning
Tijl De Bie	Explainable network embeddings
Wesley De Neve	Feature extraction and visualization Trustability and robustness (adversariality)
Willem Waegeman	Explainable deep learning
Yvan Saeys