| Estimation of distribution algorithms: A new tool for evolutionary computation P Larrañaga, JA Lozano Springer Science & Business Media, 2001 | 2882 | 2001 |
| An empirical comparison of four initialization methods for the k-means algorithm JM Pena, JA Lozano, P Larranaga Pattern recognition letters 20 (10), 1027-1040, 1999 | 1002 | 1999 |
| Sensitivity analysis of k-fold cross validation in prediction error estimation JD Rodriguez, A Perez, JA Lozano IEEE transactions on pattern analysis and machine intelligence 32 (3), 569-575, 2009 | 912 | 2009 |
| 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 | 735 | 2006 |
| A review of auto-scaling techniques for elastic applications in cloud environments T Lorido-Botran, J Miguel-Alonso, JA Lozano Journal of Grid Computing 12 (4), 559-592, 2014 | 548 | 2014 |
| Towards a new evolutionary computation: advances on estimation of distribution algorithms JA Lozano, P Larrañaga, I Inza, E Bengoetxea Springer, 2006 | 423 | 2006 |
| Multi-start methods R Martí Handbook of metaheuristics, 355-368, 2003 | 296 | 2003 |
| Optimization in continuous domains by learning and simulation of Gaussian networks P Larranaga, R Etxeberria, JA Lozano, JM Pena | 269 | 2000 |
| Differential micro RNA expression in PBMC from multiple sclerosis patients D Otaegui, SE Baranzini, R Armañanzas, B Calvo, M Muñoz-Culla, ... PloS one 4 (7), e6309, 2009 | 263 | 2009 |
| Optimization by learning and simulation of Bayesian and Gaussian networks P Larranaga, R Etxeberria, JA Lozano, JM Pena, JM Pe | 226 | 1999 |
| A review of travel time estimation and forecasting for advanced traveller information systems U Mori, A Mendiburu, M Álvarez, JA Lozano Transportmetrica A: Transport Science 11 (2), 119-157, 2015 | 174 | 2015 |
| Elvira: An environment for creating and using probabilistic graphical models E Consortium Proceedings of the first European workshop on probabilistic graphical models …, 2002 | 172 | 2002 |
| Combinatorial optimization by learning and simulation of Bayesian networks P Larranaga, R Etxeberria, JA Lozano, JM Pena arXiv preprint arXiv:1301.3871, 2013 | 163 | 2013 |
| Protein folding in simplified models with estimation of distribution algorithms R Santana, P Larrañaga, JA Lozano IEEE transactions on Evolutionary Computation 12 (4), 418-438, 2008 | 160 | 2008 |
| Auto-scaling techniques for elastic applications in cloud environments T Lorido-Botrán, J Miguel-Alonso, JA Lozano Department of Computer Architecture and Technology, University of Basque …, 2012 | 158 | 2012 |
| An efficient approximation to the K-means clustering for massive data M Capó, A Pérez, JA Lozano Knowledge-Based Systems 117, 56-69, 2017 | 157 | 2017 |
| Approaching sentiment analysis by using semi-supervised learning of multi-dimensional classifiers J Ortigosa-Hernández, JD Rodríguez, L Alzate, M Lucania, I Inza, ... Neurocomputing 92, 98-115, 2012 | 131 | 2012 |
| A review of estimation of distribution algorithms in bioinformatics R Armañanzas, I Inza, R Santana, Y Saeys, JL Flores, JA Lozano, ... BioData mining 1 (1), 1-12, 2008 | 121 | 2008 |
| A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems J Ceberio, E Irurozki, A Mendiburu, JA Lozano Progress in Artificial Intelligence 1 (1), 103-117, 2012 | 113 | 2012 |
| A multiobjective approach to the portfolio optimization problem R Armananzas, JA Lozano 2005 IEEE Congress on Evolutionary Computation 2, 1388-1395, 2005 | 108 | 2005 |
Borja CalvoIntelligent Systems Group ISG, University of the Basque Country UPV/EHUVerified email at ehu.eus
