Jose A. Lozano
TítuloCitado porAño
Estimation of distribution algorithms: A new tool for evolutionary computation
P Larrañaga, JA Lozano
Springer Science & Business Media, 2001
26132001
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
8331999
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
5512006
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
4502009
Towards a new evolutionary computation: advances on estimation of distribution algorithms
JA Lozano, P Larrañaga, I Inza, E Bengoetxea
Springer, 2006
3912006
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
3342014
Optimization in continuous domains by learning and simulation of Gaussian networks
P Larrañaga, R Etxeberria, JA Lozano, JM Peña
2532000
Multi-start methods
R Martí, JA Lozano, A Mendiburu, L Hernando
Handbook of Heuristics, 1-21, 2016
2372016
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
2162009
Optimization by learning and simulation of Bayesian and Gaussian networks
P Larranaga, R Etxeberria, JA Lozano, JM Pena, JM Pe
2091999
Elvira: An environment for creating and using probabilistic graphical models
E Consortium
Proceedings of the first European workshop on probabilistic graphical models …, 2002
1612002
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
1592000
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
1482008
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
1232012
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), 6, 2008
992008
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
982015
A multiobjective approach to the portfolio optimization problem
R Armananzas, JA Lozano
2005 IEEE Congress on Evolutionary Computation 2, 1388-1395, 2005
972005
Analyzing the population based incremental learning algorithm by means of discrete dynamical systems
JA Lozano
Complex Systems 12, 465-479, 2000
962000
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
902012
A distance-based ranking model estimation of distribution algorithm for the flowshop scheduling problem
J Ceberio, E Irurozki, A Mendiburu, JA Lozano
IEEE Transactions on Evolutionary Computation 18 (2), 286-300, 2013
872013
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Artículos 1–20