Discriminative Learning of Bayesian Network Classifiers via the TM Algorithm. - Guzmán Santafé; José Antonio Lozano 001; Pedro Larrañaga (ECSQARU, 2005)

Bayesian Model Averaging of TAN Models for Clustering. - Guzmán Santafé; José Antonio Lozano 001; Pedro Larrañaga (Probabilistic Graphical Models, 2006)

Discriminative Learning of Bayesian Network Classifiers. - Guzmán Santafé; José Antonio Lozano 001; Pedro Larrañaga (Inteligencia Artif., 2006)

Machine learning in bioinformatics. - Pedro Larrañaga; Borja Calvo; Roberto Santana 001; Concha Bielza; Josu Galdiano; Iñaki Inza; José Antonio Lozano 001; Rubén Armañanzas; Guzmán Santafé; Aritz Pérez Martínez; Victor Robles (Briefings Bioinform., 2006)

Bayesian Model Averaging of Naive Bayes for Clustering. - Guzmán Santafé; José Antonio Lozano 001; Pedro Larrañaga (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Discriminative vs. Generative Learning of Bayesian Network Classifiers. - Guzmán Santafé; José Antonio Lozano 001; Pedro Larrañaga (ECSQARU, 2007)

Inference of Population Structure Using Genetic Markers and a Bayesian Model Averaging Approach for Clustering. - Guzmán Santafé; José Antonio Lozano 001; Pedro Larrañaga (J. Comput. Biol., 2008)

Clustering of Windows Security Events by Means of Frequent Pattern Mining. - Rosa Basagoiti; Urko Zurutuza; Asier Aztiria; Guzmán Santafé; Mario Reyes (CISIS, 2009)

An anomaly-based intrusion detection system for IEEE 802.11 networks. - Luis Miguel Torres; Eduardo Magaña; Mikel Izal; Daniel Morató; Guzmán Santafé (Wireless Days, 2010)

Dealing with the evaluation of supervised classification algorithms. - Guzmán Santafé; Iñaki Inza; José Antonio Lozano 001 (Artif. Intell. Rev., 2015)

scmamp: Statistical Comparison of Multiple Algorithms in Multiple Problems. - Borja Calvo; Guzmán Santafé (R J., 2016)

Semantic Clustering of a Sequence of Satellite Images. - Carlos Echegoyen; Aritz Pérez; Guzmán Santafé; Unai Pérez-Goya; María Dolores Ugarte (CoRR, 2022)

Risk-based Calibration for Probabilistic Classifiers. - Aritz Pérez; Carlos Echegoyen; Guzmán Santafé (CoRR, 2024)

Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences. - Carlos Echegoyen; Aritz Pérez; Guzmán Santafé; Unai Pérez-Goya; María Dolores Ugarte (Stat. Comput., 2024)

Decentralized Federated Learning of Probabilistic Generative Classifiers. - Aritz Pérez; Carlos Echegoyen; Guzmán Santafé (CoRR, 2025)