Explainable Agents and multi-agent systems
Mining and Validating Belief-based Agent Explanations
Evaluating a mechanism for explaining BDI agent behaviour
A General-Purpose Protocol for Multi-Agent based Explanations
Dialogue Explanations for Rules-based AI Systems
Estimating Causal Responsibility for Explaining Autonomous Behavior
Explainable Machine Learning
The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing
Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors
Imperative Action Masking for Safe Exploration in Reinforcement Learning
Reinforcement Learning in Cyclic Environmental Change for Non-Communicative Agents: A Theoretical Approach
Inherently Interpretable Deep Reinforcement Learning through Online Mimicking
Counterfactual, Contrastive, and Hierarchical Explanations with Contextual Importance and Utility
Cross-domain applied XAI
Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification
Metrics for Evaluating Explainable Recommender Systems
Leveraging Imperfect Explanations for Plan Recognition Problems
Reinterpreting Vulnerability to Tackle Deception in Principles-Based XAI for Human-Computer Interaction
Using Cognitive Models and Wearables to Diagnose and Predict Dementia Patient Behaviour.