Biblio

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2013
Santana, R., R. Armañanzas, C. Bielza, and P. Larrañaga, "Network measures for information extraction in evolutionary algorithms", International Journal of Computational Intelligence Systems, vol. 6, no. 6, pp. 1163-1188, 2013.
Santana, R., C. Bielza, and P. Larrañaga, Changing conduction delays to maximize the number of polychronous groups with an estimation of distribution algorithm, , Technical Report, UPM-FI/DIA/2013-1, Technical University of Madrid, 2013.
Santana, R., L. McGarry, C. Bielza, P. Larrañaga, and R. Yuste, "Classification of neocortical interneurons using affinity propagation", Frontiers in Neural Circuits, vol. 7:185, 2013.
2012
Santana, R., C. Bielza, and P. Larrañaga, "Maximizing the number of polychronous groups in spiking networks", Companion Material Proceedings of the 14th Annual Genetic and Evolutionary Computation Conference (GECCO-2012): ACM Digital Library, pp. 1499-1500, 2012.
Santana, R., C. Bielza, and P. Larrañaga, "Regularized logistic regression and multi-objective variable selection for classifying MEG data", Biological Cybernetics, vol. 106, no. 6-7, pp. 389-405, 2012.
Santana, R., C. Bielza, and P. Larrañaga, "Conductance interaction identification by means of Boltzmann distribution and mutual information analysis in conductance-based neuron models", BMC Neuroscience, vol. 13, no. Suppl 1, pp. P100, 2012.
2011
Santana, R., H. Karshenas, C. Bielza, and P. Larrañaga, "Quantitative genetics in multi-objective optimization algorithms: From useful insights to effective methods", Proceedings of the 2011 Genetic and Evolutionary Conference (GECCO-2011): ACM Digital Library, pp. 91-92, 2011.
Santana, R., H. Karshenas, C. Bielza, and P. Larrañaga, "Regularized k-order Markov Models in EDAs", Proceedings of the 2011 Genetic and Evolutionary Conference (GECCO-2011): ACM Digital Library, pp. 593–600, 2011.
Santana, R., C. Bielza, and P. Larrañaga, "Affinity Propagation Enhanced by Estimation of Distribution Algorithms", Proceedings of the 2011 Genetic and Evolutionary Conference (GECCO-2011): ACM Digital Library, pp. 331–338, 2011.
Santana, R., C. Bielza, and P. Larrañaga, "Optimizing brain networks topologies using multi-objective evolutionary computation", Neuroinformatics, vol. 9, no. 1, pp. 3-19, 2011.
2009
Santana, R., C. Bielza, J. A. Lozano, and P. Larrañaga, "Mining Probabilistic Models Learned by EDAs in the Optimization of Multi-Objective Problems", Proceedings of the 11th Annual Conference on Genetic and Evolutionary Computation: ACM, pp. 445-452, 2009.
Santana, R., P. Larrañaga, and J. A. Lozano, Learning factorizations in estimation of distribution algorithms using affinity propagation, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-1/08, 2009.
Santana, R., C. Echegoyen, A. Mendiburu, C. Bielza, J. A. Lozano, P. Larrañaga, R. Armañanzas, and S. Shakya, MATEDA: A suite of EDA programs in Matlab, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-2/09, 2009.
2008
Santana, R., P. Larrañaga, and J. A. Lozano, "Combining variable neighborhood search and estimation of distribution algorithms", Journal of Heuristics, vol. 14, pp. 519-547, 2008.
Santana, R., J. A. Lozano, and P. Larrañaga, "Protein folding in simplified models with estimation of distribution algorithms", IEEE Transactions on Evolutionary Computation, vol. 12, no. 4, pp. 418-438, 2008.
2007
Santana, R., P. Larrañaga, and J. A. Lozano, "Side chain placement using estimation of distribution algorithms", Artificial Intelligence in Medicine, vol. 39, no. 1, pp. 49-63, 2007.
2006
Santana, R., Advances in Probabilistic Graphical Models for Optimization and Learning. Applications in Protein Modelling, , (supervised by Pedro Larrañaga), Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad del País Vasc, 2006.
2005
Santana, R., P. Larrañaga, and J. A. Lozano, Properties of Kikuchi approximations constructed from clique based decompositions, : Servicio de Publicaciones de la Facultad de Informática, UPV–EHU. EHU-KZAA-IK-2/05, 2005.