Larrañaga, Pedro

16 publications

PGM 2024 Multi-Objective Counterfactuals in Bayesian Classifiers with Estimation of Distribution Algorithms Daniel Zaragoza-Pellicer, Concha Bielza, Pedro Larrañaga
PGM 2022 Evolutive Adversarially-Trained Bayesian Network Autoencoder for Interpretable Anomaly Detection Jorge Casajús-Setién, Concha Bielza, Pedro Larrañaga
PGM 2022 Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling Enrique Valero-Leal, Pedro Larrañaga, Concha Bielza
PGM 2022 Structure Learning Algorithms for Multidimensional Continuous-Time Bayesian Network Classifiers Carlos Villa-Blanco, Alessandro Bregoli, Concha Bielza, Pedro Larrañaga, Fabio Stella
PGM 2020 BayesSuites: An Open Web Framework for Visualization of Massive Bayesian Networks Nikolas Bernaola, Mario Michiels, Concha Bielza, Pedro Larrañaga
PGM 2018 A Partial Orthogonalization Method for Simulating Covariance and Concentration Graph Matrices Irene Córdoba, Gherardo Varando, Concha Bielza, Pedro Larrañaga
PGM 2018 Discrete Model-Based Clustering with Overlapping Subsets of Attributes Fernando Rodriguez-Sanchez, Pedro Larrañaga, Concha Bielza
PGM 2018 Learning Bayesian Network Classifiers with Completed Partially Directed Acyclic Graphs Bojan Mihaljević, Concha Bielza, Pedro Larrañaga
PGM 2016 Learning Tractable Multidimensional Bayesian Network Classifiers Marco Benjumeda, Concha Bielza, Pedro Larrañaga
JMLR 2015 Decision Boundary for Discrete Bayesian Network Classifiers Gherardo Varando, Concha Bielza, Pedro Larrañaga
IJCAI 2011 Bayesian Chain Classifiers for Multidimensional Classification Julio H. Zaragoza, Luis Enrique Sucar, Eduardo F. Morales, Concha Bielza, Pedro Larrañaga
ECML-PKDD 2006 Mixtures of Kikuchi Approximations Roberto Santana, Pedro Larrañaga, José Antonio Lozano
MLJ 2002 Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction José M. Peña, José Antonio Lozano, Pedro Larrañaga
AISTATS 2001 Geographical Clustering of Cancer Incidence by Means of Bayesian Networks and Conditional Gaussian Networks José M. Peña, I. Izarzugaza, José Antonio Lozano, E. Aldasoro, Pedro Larrañaga
UAI 2000 Combinatonal Optimization by Learning and Simulation of Bayesian Networks Pedro Larrañaga, Ramon Etxeberria, José Antonio Lozano, José M. Peña
AISTATS 1995 Structure Learning of Bayesian Networks by Hybrid Genetic Algorithms Pedro Larrañaga, Roberto H. Murga, Mikel Poza, Cindy M. H. Kuijpers