| Estimation of distribution algorithms: A new tool for evolutionary computation P Larrañaga, JA Lozano Springer Science & Business Media, 2001 | 3138 | 2001 |
| 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 | 1564 | 2009 |
| 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 | 1161 | 1999 |
| 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 | 961 | 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 | 732 | 2014 |
| Towards a new evolutionary computation: advances on estimation of distribution algorithms JA Lozano, P Larrañaga, E Bengoetxea, I Inza Springer Science & Business Media, 2006 | 452 | 2006 |
| Multi-start methods R Martí, JA Lozano, A Mendiburu, L Hernando Handbook of heuristics, 155-175, 2018 | 388 | 2018 |
| A review on outlier/anomaly detection in time series data A Blázquez-García, A Conde, U Mori, JA Lozano ACM Computing Surveys (CSUR) 54 (3), 1-33, 2021 | 375 | 2021 |
| 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 | 300 | 2009 |
| Optimization in continuous domains by learning and simulation of Gaussian networks P Larranaga Proc. of the 2000 Genetic and Evolutionary Computation Conference Workshop …, 2000 | 280 | 2000 |
| 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 | 249 | 2015 |
| Optimization by learning and simulation of Bayesian and Gaussian networks P Larranaga 1999 EHU-KZAAIK-4/99, University of the Basque Country, 1999 | 235 | 1999 |
| An efficient approximation to the K-means clustering for massive data M Capó, A Pérez, JA Lozano Knowledge-Based Systems 117, 56-69, 2017 | 219 | 2017 |
| A review on distance based time series classification A Abanda, U Mori, JA Lozano Data Mining and Knowledge Discovery 33 (2), 378-412, 2019 | 200 | 2019 |
| Elvira: An environment for creating and using probabilistic graphical models E Consortium Proceedings of the first European workshop on probabilistic graphical models …, 2002 | 182 | 2002 |
| 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 | 178 | 2012 |
| Combinatorial optimization by learning and simulation of Bayesian networks P Larranaga, R Etxeberria, JA Lozano, JM Pena arXiv preprint arXiv:1301.3871, 2013 | 172 | 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 | 168 | 2008 |
| 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 | 153 | 2012 |
| Spacecraft trajectory optimization: A review of models, objectives, approaches and solutions A Shirazi, J Ceberio, JA Lozano Progress in Aerospace Sciences 102, 76-98, 2018 | 141 | 2018 |
Borja CalvoIntelligent Systems Group ISG, University of the Basque Country UPV/EHUAdresă de e-mail confirmată pe ehu.eus
