Generation and Evaluation of Factual and Gounterfaetual Explanations for Decision Trees and Fuzzy Rule-based Classifiers. - Ilia Stepin; José Maria Alonso; Alejandro Catalá; Martin Pereira-Fariña (FUZZ-IEEE, 2020)

A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence. - Ilia Stepin; José Maria Alonso; Alejandro Catalá; Martin Pereira-Fariña (IEEE Access, 2021)

An empirical study on how humans appreciate automated counterfactual explanations which embrace imprecise information. - Ilia Stepin; Jose Maria Alonso-Moral; Alejandro Catalá; Martin Pereira-Fariña (Inf. Sci., 2022)

Investigating Human-Centered Perspectives in Explainable Artificial Intelligence. - Muhammad Suffian Nizami; Ilia Stepin; Jose Maria Alonso-Moral; Alessandro Bogliolo (XAI.it@AI*IA, 2023)

A Software Solution for Building Fuzzy-Grounded Interactive Dialogue-Based Explanations. - Ilia Stepin; Alejandro Catalá; Jose Maria Alonso-Moral (FUZZ, 2024)

Information-seeking dialogue for explainable artificial intelligence: Modelling and analytics. - Ilia Stepin; Katarzyna Budzynska; Alejandro Catalá; Martin Pereira-Fariña; Jose Maria Alonso-Moral (Argument Comput., 2024)

How to Build Self-Explaining Fuzzy Systems: From Interpretability to Explainability [AI-eXplained]. - Ilia Stepin; Muhammad Suffian Nizami; Alejandro Catalá; Jose Maria Alonso-Moral (IEEE Comput. Intell. Mag., 2024)