Publikationen in Zusammenarbeit mit Forschern von Universidad Politécnica de Madrid (54)

2013

  1. A new measure for gene expression biclustering based on non-parametric correlation

    Computer Methods and Programs in Biomedicine, Vol. 112, Núm. 3, pp. 367-397

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

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

  3. Classification of neocortical interneurons using affinity propagation

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

  4. Network measures for information extraction in evolutionary algorithms

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

  5. Regularized continuous estimation of distribution algorithms

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

2012

  1. A Markovianity based optimisation algorithm

    Genetic Programming and Evolvable Machines, Vol. 13, Núm. 2, pp. 159-195

  2. A review of estimation of distribution algorithms and Markov networks

    Adaptation, Learning, and Optimization, Vol. 14, Núm. 1, pp. 21-37

  3. A review on probabilistic graphical models in evolutionary computation

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

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

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

  5. Identification of a biomarker panel for colorectal cancer diagnosis

    BMC Cancer, Vol. 12

  6. MOA - Markovian optimisation algorithm

    Adaptation, Learning, and Optimization, Vol. 14, Núm. 1, pp. 39-53

  7. Maximizing the Number of Polychronous Groups in Spiking Networks

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

  8. Maximizing the number of polychronous groups in spiking networks

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

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

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

  10. Toward understanding EDAs based on bayesian networks through a quantitative analysis

    IEEE Transactions on Evolutionary Computation, Vol. 16, Núm. 2, pp. 173-189

  11. Wrapper positive Bayesian network classifiers

    Knowledge and Information Systems, Vol. 33, Núm. 3, pp. 631-654

2011

  1. A Differential Evolution Algorithm for the Detection of Synaptic Vesicles

    2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)

  2. A Direct Optimization Approach to the P300 Speller

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