| A review of feature selection techniques in bioinformatics Y Saeys, I Inza, P Larranaga bioinformatics 23 (19), 2507-2517, 2007 | 4777 | 2007 |
| Estimation of distribution algorithms: A new tool for evolutionary computation P Larrañaga, JA Lozano Springer Science & Business Media, 2001 | 2896 | 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 | 1011 | 1999 |
| Genetic algorithms for the travelling salesman problem: A review of representations and operators P Larranaga, CMH Kuijpers, RH Murga, I Inza, S Dizdarevic Artificial Intelligence Review 13 (2), 129-170, 1999 | 961 | 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 | 740 | 2006 |
| New insights into the classification and nomenclature of cortical GABAergic interneurons J DeFelipe, PL López-Cruz, R Benavides-Piccione, C Bielza, P Larrañaga, ... Nature Reviews Neuroscience 14 (3), 202-216, 2013 | 664 | 2013 |
| Structure learning of Bayesian networks by genetic algorithms: A performance analysis of control parameters P Larranaga, M Poza, Y Yurramendi, RH Murga, CMH Kuijpers IEEE transactions on pattern analysis and machine intelligence 18 (9), 912-926, 1996 | 541 | 1996 |
| Filter versus wrapper gene selection approaches in DNA microarray domains I Inza, P Larranaga, R Blanco, AJ Cerrolaza Artificial intelligence in medicine 31 (2), 91-103, 2004 | 510 | 2004 |
| Towards a new evolutionary computation: advances on estimation of distribution algorithms JA Lozano, P Larrañaga, I Inza, E Bengoetxea Springer, 2006 | 423 | 2006 |
| Learning Bayesian network structures by searching for the best ordering with genetic algorithms P Larranaga, CMH Kuijpers, RH Murga, Y Yurramendi IEEE transactions on systems, man, and cybernetics-part A: systems and …, 1996 | 342 | 1996 |
| Global optimization using Bayesian networks R Etxeberria Proc. 2nd Symposium on Artificial Intelligence (CIMAF-99), 1999 | 340 | 1999 |
| Feature subset selection by Bayesian network-based optimization I Inza, P Larrañaga, R Etxeberria, B Sierra Artificial intelligence 123 (1-2), 157-184, 2000 | 334 | 2000 |
| A survey on multi‐output regression H Borchani, G Varando, C Bielza, P Larranaga Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5 (5 …, 2015 | 326 | 2015 |
| Optimization in continuous domains by learning and simulation of Gaussian networks P Larranaga, R Etxeberria, JA Lozano, JM Pena | 270 | 2000 |
| Optimization by learning and simulation of Bayesian and Gaussian networks P Larranaga, R Etxeberria, JA Lozano, JM Pena, JM Pe | 226 | 1999 |
| Multi-dimensional classification with Bayesian networks C Bielza, G Li, P Larranaga International Journal of Approximate Reasoning 52 (6), 705-727, 2011 | 212 | 2011 |
| Discrete Bayesian network classifiers: A survey C Bielza, P Larranaga ACM Computing Surveys (CSUR) 47 (1), 1-43, 2014 | 210 | 2014 |
| Elvira: An enviroment 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 |
Concha BielzaProfessor of Statistics and Operations Research, UniversidadVerified email at fi.upm.es
