2010

G. Santafé. Advances in Supervised and Unsupervised Learning of Bayesian Networks. Application to Population Genetics. Lambert Academic Publishing. ISBN:978-3-8383-3344-1.
J.A. Lozano, G. Santafé, I. Inza. Honest evaluation of classification models. Tutorial hosted by the Second Asian Conference on Machine learning (ACML2010), Tokyo, Japan, 8-10 Nov. 2010.
J.A. Lozano, G. Santafé, I. Inza. Classifier performance evaluation and comparison. Tutorial hosted by the Ninth IEEE International Conference on Machine Learning and Applications (ICMLA 2010), Washington DC, USA, 12-14 Dec. 2010.
L.M. Torres, E. Magana, M. Izal, D. Morato, G. Santafe. An anomaly-based intrusion detection system for IEEE 802.11 networks. IFIP Wireless Days Conference. Venice, Itally. 1-6.

2009

R. Basagoiti, U. Zurutuza, A. Aztiria, G. Santafé and M. Reyes. Clustering of Windows security events by means of Frequent Pattern Mining. In Proceedings of the 2nd International Workshop on Computational Intelligence in Security for Information Systems (CISIS'09) Burgos, Spain. 19-27.

G. Santafé. Advances in Supervised and Unsupervised Learning of Bayesian Network Models. Application to Population Genetics. PhD. Thesis. University of the Basque Country
G. Santafé, J. A. Lozano, P. Larrañaga. Inference of Population Structure Using Genetic Markers and a Bayesian Model Averaging Approach for Clustering. Journal of Computational Biology, 15(2), 207-220. Software

G. Santafé, J. A. Lozano, P. Larrañaga. Discriminative vs. Generative Learning of Bayesian Network Classifiers. Ninth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU'2007), Hammamet, Tunisia. 453-464. Supplementary content

G. Santafé, J. A. Lozano, P. Larrañaga. Bayesian Model Averaging of Naive Bayes for Clustering. IEEE Transactions on Systems, Man, and Cybernetics - Part B, 36(5), 1149-1161.
G. Santafé, J. A. Lozano, P. Larrañaga. Aprendizaje discriminativo de clasificadores Bayesianos. Revista Iberoamericana de Inteligencia Artificial, 29(10), 39-47.
P. Larrañaga, B. Calvo, R. Santana, C. Bielza, J. Galdiano, I. Inza, J. A. Lozano, R. Armañanzas, G. Santafé, A. Perez, V. Robles. Machine Learning in Bioinformatics. Briefings in Bioinformatics, 7(1), 86-112
I. Inza, R. Armañanzas, G. Santafé. Una aproximación al software WEKA. Aprendizaje Automático: conceptos básicos y avanzados, editor B. Sierra, capítulo 23, 477-483. Pearson Educación, Madrid.
G. Santafé, J. A. Lozano, P. Larrañaga. Bayesian Model Averaging of TAN Models for Clustering. European Workshop on Probabilistic Graphical Models (PGM 2006). Prague, Czech Republic. 271-278

G. Santafé, J.A. Lozano, P. Larrañaga. Discriminative Learning of Bayesian Network Classifiers via the TM Algorithm. Eighth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU'2005. Barcelona, Spain. 148-160.
G. Santafé, J. A. Lozano, P. Larrañaga. Aprendizaje discriminativo de clasificadores Bayesianos. Proceedings of the III Taller Nacional de Minería de Datos y Aprendizaje (TAMIDA-2005), Granada, Spain, 2005. 115-123.

G. Santafé, J.A. Lozano, P. Larrañaga. Full Bayesian Model Averaging of Naïve Bayes for Clustering. Technical Report. EHU-KZAA-IK-3/04. University of the Basque Country.
G. Santafé, J.A. Lozano, P. Larrañaga. El Algoritmo TM para Clasificadores Bayesianos. Technical Report. EHU-KZAA-IK-2/04. University of the Basque Country.

G. Santafé, J.A. Lozano, P. Larrañaga. Fitting Mixture Models with Estimation of Distribution Algorithms. Proceedings of the Second Spanish Conference on Metaheuristics, Evolutive and Bioinspired Algorithms, MAEB 2003. Gijón, Asturias, Spain, 232-235.