Roberto Santana
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Machine learning in bioinformatics
P Larrañaga, B Calvo, R Santana, C Bielza, J Galdiano, I Inza, JA Lozano, ...
Briefings in bioinformatics 7 (1), 86-112, 2006
6802006
Protein folding in simplified models with estimation of distribution algorithms
R Santana, P Larrañaga, JA Lozano
Evolutionary Computation, IEEE Transactions on 12 (4), 418-438, 2008
1562008
A review on evolutionary algorithms in Bayesian network learning and inference tasks
P LarrañAga, H Karshenas, C Bielza, R Santana
Information Sciences 233, 109-125, 2013
1292013
A review of estimation of distribution algorithms in bioinformatics
R Armañanzas, I Inza, R Santana, Y Saeys, JL Flores, JA Lozano, ...
BioData mining 1 (6), 2008
1102008
Estimation of distribution algorithms with Kikuchi approximations
R Santana
Evolutionary Computation 13 (1), 67-97, 2005
1102005
Multiobjective estimation of distribution algorithm based on joint modeling of objectives and variables
H Karshenas, R Santana, C Bielza, P Larranaga
IEEE Transactions on Evolutionary Computation 18 (4), 519-542, 2013
85*2013
A review on probabilistic graphical models in evolutionary computation
P Larrañaga, H Karshenas, C Bielza, R Santana
Journal of Heuristics 18 (5), 795-819, 2012
762012
A Markov network based factorized distribution algorithm for optimization
R Santana
Machine Learning: ECML 2003, 337-348, 2003
572003
Mateda-2.0: Estimation of distribution algorithms in MATLAB
R Santana, C Bielza, P Larrañaga, JA Lozano, C Echegoyen, ...
Journal of Statistical Software 35 (7), 1-30, 2010
542010
Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem
R Santana, P Larrañaga, JA Lozano
Journal of Heuristics 14 (5), 519-547, 2008
542008
The mixture of trees factorized distribution algorithm
R Santana, A Ochoa, MR Soto
Proceedings of the Genetic and Evolutionary Computation Conference GECCO …, 2001
502001
Exact Bayesian network learning in estimation of distribution algorithms
C Echegoyen, JA Lozano, R Santana, P Larranaga
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on, 1051-1058, 2007
482007
Research topics in discrete estimation of distribution algorithms based on factorizations
R Santana, P Larrañaga, JA Lozano
Memetic Computing 1 (1), 35-54, 2009
432009
The impact of probabilistic learning algorithms in EDAs based on Bayesian networks
C Echegoyen, R Santana, J Lozano, P Larrañaga
Linkage in evolutionary computation. Studies in Computational Intelligence …, 2008
42*2008
Learning factorizations in estimation of distribution algorithms using affinity propagation
R Santana, P Larraòaga, JA Lozano
Evolutionary Computation 18 (4), 515-546, 2010
402010
Side chain placement using estimation of distribution algorithms
R Santana, P Larrañaga, JA Lozano
Artificial intelligence in medicine 39 (1), 49-63, 2007
392007
A markovianity based optimisation algorithm
S Shakya, R Santana, JA Lozano
Genetic Programming and Evolvable Machines, 1-37, 2008
372008
An EDA based on local Markov property and Gibbs sampling
S Shakya, R Santana
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
362008
An extensive analysis of the interaction between missing data types, imputation methods, and supervised classifiers
U Garciarena, R Santana
Expert Systems with Applications 89, 52-65, 2017
342017
Regularized continuous estimation of distribution algorithms
H Karshenas, R Santana, C Bielza, P Larrañaga
Applied Soft Computing 13 (5), 2412-2432, 2013
342013
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