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 | 5 | 2022 |
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 | 4 | 2023 |
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 | 2 | 2022 |
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 | 1 | 2023 |
Quantitative Early Assessment Methodology to Compute Induced Seismicity Risk for Geothermal and Geological Carbon Storage Operations A Perez, J Alvarellos, E Lopez, JJ Valle, E Valero, JN Castillo, E Ibañez, ... Fifth EAGE Global Energy Transition Conference & Exhibition (GET 2024) 2024 …, 2024 | | 2024 |
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 | | |