Reinforcement learning applied to vessel navigation in fast-time simulations

Natural language explanations of classifier behavior

A framework for closed domain question answering systems in the low data regime

Measuring fairness in machine learning through interpretability techniques

Bayesian networks, credal networks and causal inference: an application to the analysis...

Multimodal fusion of affective observations

Conversion from colored Petri nets into Markov decision processes with imprecise...

Learning acyclic probabilistic logic programs from data

Development of predictors for automated products recommendation

A mathematical model for computational inference of emotional state based on facial...