Pedro Larrañaga
Pedro Larrañaga
Professor of Artificial Intelligence - Technical University of Madrid
Verified email at fi.upm.es - Homepage
TitleCited byYear
A review of feature selection techniques in bioinformatics
Y Saeys, I Inza, P Larrañaga
bioinformatics 23 (19), 2507-2517, 2007
39212007
Estimation of distribution algorithms: A new tool for evolutionary computation
P Larrañaga, JA Lozano
Springer Science & Business Media, 2001
26932001
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
8651999
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
8171999
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
5912006
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, 2013
5202013
Structure learning of Bayesian networks by genetic algorithms: A performance analysis of control parameters
P Larrañaga, M Poza, Y Yurramendi, RH Murga, CMH Kuijpers
IEEE transactions on pattern analysis and machine intelligence 18 (9), 912-926, 1996
4821996
Filter versus wrapper gene selection approaches in DNA microarray domains
I Inza, P Larrañaga, R Blanco, AJ Cerrolaza
Artificial intelligence in medicine 31 (2), 91-103, 2004
4612004
Towards a new evolutionary computation: advances on estimation of distribution algorithms
JA Lozano, P Larrañaga, I Inza, E Bengoetxea
Springer, 2006
3942006
Towards a new evolutionary computation: advances on estimation of distribution algorithms
JA Lozano, P Larrañaga, I Inza, E Bengoetxea
Springer, 2006
3942006
Global optimization using Bayesian networks
R Etxeberria
Proc. 2nd Symposium on Artificial Intelligence (CIMAF-99), 1999
3281999
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
3101996
Feature subset selection by Bayesian network-based optimization
I Inza, P Larrañaga, R Etxeberria, B Sierra
Artificial intelligence 123 (1-2), 157-184, 2000
3072000
Optimization in continuous domains by learning and simulation of Gaussian networks
P Larrañaga, R Etxeberria, JA Lozano, JM Peña
2552000
Optimization by learning and simulation of Bayesian and Gaussian networks
P Larranaga, R Etxeberria, JA Lozano, JM Pena, JM Pe
2141999
A survey on multi‐output regression
H Borchani, G Varando, C Bielza, P Larrañaga
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5 (5 …, 2015
1712015
Multi-dimensional classification with Bayesian networks
C Bielza, G Li, P Larranaga
International Journal of Approximate Reasoning 52 (6), 705-727, 2011
1672011
Combinatorial optimization by learning and simulation of Bayesian networks
P Larrañaga, R Etxeberria, JA Lozano, JM Peña
Proceedings of the Sixteenth conference on Uncertainty in artificial …, 2000
1602000
Discrete Bayesian network classifiers: a survey
C Bielza, P Larrañaga
ACM Computing Surveys (CSUR) 47 (1), 5, 2014
1512014
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
1502008
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