Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling. - Enrique Valero-Leal; Pedro Larrañaga; Concha Bielza (PGM, 2022)

Simple Explanations to Summarise Subgroup Discovery Outcomes: A Case Study Concerning Patient Phenotyping. - Enrique Valero-Leal; Manuel Campos; Jose M. Juarez (PKDD/ECML Workshops (1), 2022)

A SHAP-Inspired Method for Computing Interaction Contribution in Deep Knowledge Tracing. - Enrique Valero-Leal; May Kristine Jonson Carlon; Jeffrey S. Cross (AIED (Posters/Late Breaking Results/...), 2023)

Efficient search for relevance explanations using MAP-independence in Bayesian networks. - Enrique Valero-Leal; Concha Bielza; Pedro Larrañaga; Silja Renooij (Int. J. Approx. Reason., 2023)

Actionable Counterfactual Explanations Using Bayesian Networks and Path Planning with Applications to Environmental Quality Improvement. - Enrique Valero-Leal; Pedro Larrañaga; Concha Bielza (CoRR, 2025)