Tipo de publicación: journal-article

Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification

On generating trustworthy counterfactual explanations

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

Generating Physically-Consistent Satellite Imagery for Climate Visualizations

OG-SGG: Ontology-Guided Scene Graph Generation-A Case Study in Transfer Learning for Telepresence Robotics

Generating Physically-Consistent Satellite Imagery for Climate Visualizations

OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics

Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning

PLENARY: Explaining black-box models in natural language through fuzzy linguistic summaries

Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values