Larrañaga, Pedro

25 publications

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part I Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part II Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part III Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IV Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part V Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VI Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VII Rita P. Ribeiro, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

ECML-PKDD 2025 Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VIII Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Rita P. Ribeiro, Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama

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 2005 Editorial Pedro Larrañaga, José Antonio Lozano, José M. Peña, Iñaki Inza

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