Concha Bielza Lozoya-rekin lankidetzan egindako argitalpenak (24)

2014

  1. Multiobjective estimation of distribution algorithm based on joint modeling of objectives and variables

    IEEE Transactions on Evolutionary Computation, Vol. 18, Núm. 4, pp. 519-542

2013

  1. A review on evolutionary algorithms in Bayesian network learning and inference tasks

    Information Sciences, Vol. 233, pp. 109-125

  2. Classification of neocortical interneurons using affinity propagation

    Frontiers in Neural Circuits, Vol. 7, Núm. DEC

  3. Network measures for information extraction in evolutionary algorithms

    International Journal of Computational Intelligence Systems, Vol. 6, Núm. 6, pp. 1163-1188

  4. Regularized continuous estimation of distribution algorithms

    Applied Soft Computing Journal, Vol. 13, Núm. 5, pp. 2412-2432

2012

  1. A review on probabilistic graphical models in evolutionary computation

    Journal of Heuristics, Vol. 18, Núm. 5, pp. 795-819

  2. Continuous estimation of distribution algorithms based on factorized Gaussian Markov networks

    Adaptation, Learning, and Optimization, Vol. 14, Núm. 1, pp. 157-173

  3. Maximizing the Number of Polychronous Groups in Spiking Networks

    PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION COMPANION (GECCO'12)

  4. Maximizing the number of polychronous groups in spiking networks

    GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion

  5. Regularized logistic regression and multiobjective variable selection for classifying MEG data

    Biological Cybernetics, Vol. 106, Núm. 6-7, pp. 389-405

2011

  1. Affinity Propagation Enhanced by Estimation of Distribution Algorithms

    GECCO-2011: PROCEEDINGS OF THE 13TH ANNUAL GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE

  2. Affinity propagation enhanced by estimation of distribution algorithms

    Genetic and Evolutionary Computation Conference, GECCO'11

  3. Multi-objective optimization with joint probabilistic modeling of objectives and variables

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Optimizing brain networks topologies using multi-objective evolutionary computation

    Neuroinformatics, Vol. 9, Núm. 1, pp. 3-19

  5. Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms

    IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 8, Núm. 3, pp. 760-774

  6. Quantitative genetics in multi-objective optimization algorithms: From useful insights to effective methods

    Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication

  7. Regularized k-order Markov models in EDAs

    Genetic and Evolutionary Computation Conference, GECCO'11

  8. Regularized k-order Markov models in EDAs

    GECCO-2011: PROCEEDINGS OF THE 13TH ANNUAL GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE

2010

  1. Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms

    2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

  2. Mateda-2.0: Estimation of distribution algorithms in MATLAB

    Journal of Statistical Software, Vol. 35, Núm. 7, pp. 1-30