Explainable AI

Aleksandra Pizurica

Bart Goossens

  • Security of neural networks
  • Robustness against adversarial perturbations

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

Ruben Verborgh

  • Reasoning

Tijl De Bie

  • Explainable network embeddings

Wesley De Neve

  • Feature extraction and visualization
  • Trustability and robustness (adversariality)

Yvan Saeys