Follow
Enrique Valero-Leal
Title
Cited by
Cited by
Year
Extending MAP-independence for Bayesian network explainability
E Valero-Leal, P Larrañaga, C Bielza
1st workshop on Heterodox Methods for Interpretable and Efficient Artificial …, 2022
52022
Efficient search for relevance explanations using MAP-independence in Bayesian networks
E Valero-Leal, C Bielza, P Larrañaga, S Renooij
International Journal of Approximate Reasoning 160, 108965, 2023
32023
A SHAP-Inspired Method for Computing Interaction Contribution in Deep Knowledge Tracing
E Valero-Leal, MKJ Carlon, JS Cross
International Conference on Artificial Intelligence in Education, 460-465, 2023
12023
Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling
E Valero-Leal, P Larrañaga, C Bielza
International Conference on Probabilistic Graphical Models, 373-384, 2022
12022
ProbExplainer: A Library for Unified Explainability of Probabilistic Models and an Application in Interneuron Classification
E Valero-Leal, P Larrañaga, C Bielza
International Workshop on Explainable Artificial Intelligence in Healthcare …, 2023
2023
Simple Explanations to Summarise Subgroup Discovery Outcomes: A Case Study Concerning Patient Phenotyping
E Valero-Leal, M Campos, JM Juarez
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
2022
Explanations for dynamic Bayesian networks: a case study in climate science
E Valero-Leal
Technical University of Madrid, 2022
2022
Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain enrique. valero@ upm. es
E Valero-Leal, P Larrañaga, C Bielza
Explainable Artificial Intelligence and Process Mining Applications for …, 0
The system can't perform the operation now. Try again later.
Articles 1–8