| Machine learning in bioinformatics P Larranaga, B Calvo, R Santana, C Bielza, J Galdiano, I Inza, JA Lozano, ... Briefings in bioinformatics 7 (1), 86-112, 2006 | 1178 | 2006 |
| scmamp: Statistical comparison of multiple algorithms in multiple problems B Calvo, G Santafé | 280 | 2016 |
| Dealing with the evaluation of supervised classification algorithms G Santafe, I Inza, JA Lozano Artificial Intelligence Review 44 (4), 467-508, 2015 | 174 | 2015 |
| Association of intrinsic capacity with incidence and mortality of cardiovascular disease: prospective study in UK Biobank R Ramírez‐Vélez, M Iriarte‐Fernández, G Santafé, A Malanda, JR Beard, ... Journal of cachexia, sarcopenia and muscle 14 (5), 2054-2063, 2023 | 55 | 2023 |
| Bayesian model averaging of naive Bayes for clustering G Santafé, JA Lozano, P Larrañaga IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 36 …, 2006 | 41 | 2006 |
| Genetic structure among black grouse in Britain: implications for designing conservation units J Höglund, JK Larsson, C Corrales, G Santafé, D Baines, G Segelbacher Animal Conservation 14 (4), 400-408, 2011 | 40 | 2011 |
| ’, A. Perez and V. Robles.“ P Larranaga, B Calvo, R Santana, C Bielza, J Galdiano, I Inza, JA Lozano, ... Machine learning in bioinformatics”, Briefing in bioinformatics 7 (1), 86-112, 2005 | 22 | 2005 |
| Association of intrinsic capacity with respiratory disease mortality R Ramírez-Vélez, M Iriarte-Fernandez, G Santafé, A Malanda, JR Beard, ... Respiratory Medicine 212, 107243, 2023 | 18 | 2023 |
| Dealing with risk discontinuities to estimate cancer mortality risks when the number of small areas is large G Santafé, A Adin, D Lee, MD Ugarte Statistical Methods in Medical Research 30 (1), 6-21, 2021 | 16 | 2021 |
| Discriminative learning of Bayesian network classifiers via the TM algorithm G Santafé, JA Lozano, P Larrañaga European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2005 | 14 | 2005 |
| Discriminative vs. generative learning of bayesian network classifiers G Santafé, JA Lozano, P Larrañaga European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2007 | 12 | 2007 |
| Bayesian Model Averaging of TAN Models for Clustering. G Santafé, JA Lozano, P Larrañaga Probabilistic Graphical Models, 271-278, 2006 | 10 | 2006 |
| Inference of population structure using genetic markers and a Bayesian model averaging approach for clustering G Santafé, JA Lozano, P Larrañaga Journal of Computational Biology 15 (2), 207-220, 2008 | 9 | 2008 |
| Identifying extreme COVID-19 mortality risks in English small areas: a disease cluster approach A Adin, P Congdon, G Santafé, MD Ugarte Stochastic Environmental Research and Risk Assessment 36 (10), 2995-3010, 2022 | 8 | 2022 |
| Aprendizaje discriminativo de clasificadores Bayesianos G Santafé Rodrigo, JA Lozano Alonso, P Larrañaga Múgica Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial …, 2006 | 8 | 2006 |
| Classifier performance evaluation and comparison JA Lozano, G Santafé, I Inza International Conference on Machine Learning and Applications (ICMLA 2010), 2010 | 6 | 2010 |
| El algoritmo TM para clasificadores Bayesianos G Santafé, JA Lozano, P Larranaga Technical Report EHUKZAA-IK-2/04, University of the Basque Country, 2004 | 6 | 2004 |
| An anomaly-based intrusion detection system for IEEE 802.11 networks LM Torres, E Magaña, M Izal, D Morató, G Santafé 2010 IFIP Wireless Days, 1-6, 2010 | 5 | 2010 |
| Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences C Echegoyen, A Pérez, G Santafé, U Pérez-Goya, MD Ugarte Statistics and Computing 34 (2), 71, 2024 | 3 | 2024 |
| Package ‘scmamp’ B Calvo, G Santafe, MB Calvo Available online, Accessed on, 2016 | 3 | 2016 |
