Jose A. Lozano
Cited by
Cited by
Estimation of distribution algorithms: A new tool for evolutionary computation
P Larrañaga, JA Lozano
Springer Science & Business Media, 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
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
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
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
Towards a new evolutionary computation: advances on estimation of distribution algorithms
JA Lozano, P Larrañaga, I Inza, E Bengoetxea
Springer, 2006
A review on distance based time series classification
A Abanda, U Mori, JA Lozano
Data Mining and Knowledge Discovery 33 (2), 378-412, 2019
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 in continuous domains by learning and simulation of Gaussian networks
P Larranaga
Proc. of the 2000 Genetic and Evolutionary Computation Conference Workshop …, 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
An efficient approximation to the K-means clustering for massive data
M Capó, A Pérez, JA Lozano
Knowledge-Based Systems 117, 56-69, 2017
Optimization by learning and simulation of Bayesian and Gaussian networks
P Larranaga
1999 EHU-KZAAIK-4/99, University of the Basque Country, 1999
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
Elvira: An environment for creating and using probabilistic graphical models
E Consortium
Proceedings of the first European workshop on probabilistic graphical models …, 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
Combinatorial optimization by learning and simulation of Bayesian networks
P Larranaga, R Etxeberria, JA Lozano, JM Pena
arXiv preprint arXiv:1301.3871, 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
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 on estimation of distribution algorithms in permutation-based combinatorial optimization problems
J Ceberio, E Irurozki, A Mendiburu, JA Lozano
Progress in Artificial Intelligence 1, 103-117, 2012
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