Jose A. Lozano
Jose A. Lozano
U. of the Basque Country, Basque Center for Applied Mathematics, Research Associate at
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Cited by
Cited by
Estimation of distribution algorithms: A new tool for evolutionary computation
P Larrañaga, JA Lozano
Springer Science & Business Media, 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
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
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
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
Towards a new evolutionary computation: advances on estimation of distribution algorithms
JA Lozano, P Larrañaga, I Inza, E Bengoetxea
Springer, 2006
Multi-start methods
R Martí
Handbook of metaheuristics, 355-368, 2003
Optimization in continuous domains by learning and simulation of Gaussian networks
P Larrañaga, R Etxeberria, JA Lozano, JM Pena
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
Optimization by learning and simulation of Bayesian and Gaussian networks
P Larranaga, R Etxeberria, JA Lozano, JM Pena, JM Pe
Elvira: An environment for creating and using probabilistic graphical models
E Consortium
Proceedings of the first European workshop on probabilistic graphical models …, 2002
Combinatorial optimization by learning and simulation of Bayesian networks
P Larrañaga, R Etxeberria, JA Lozano, JM Peña
arXiv preprint arXiv:1301.3871, 2013
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
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
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
An efficient approximation to the K-means clustering for massive data
M Capó, A Pérez, JA Lozano
Knowledge-Based Systems 117, 56-69, 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
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
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
A multiobjective approach to the portfolio optimization problem
R Armananzas, JA Lozano
2005 IEEE Congress on Evolutionary Computation 2, 1388-1395, 2005
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