Publicaciones en las que colabora con PEDRO MARIA LARRAÑAGA MUGICA (54)

2012

  1. Wrapper positive Bayesian network classifiers

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

2010

  1. Learning factorizations in estimation of distribution algorithms using affinity propagation

    Evolutionary Computation, Vol. 18, Núm. 4, pp. 515-546

  2. Machine learning: an indispensable tool in bioinformatics.

    Methods in molecular biology (Clifton, N.J.), Vol. 593, pp. 25-48

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

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

2009

  1. Feature subset selection from positive and unlabelled examples

    Pattern Recognition Letters, Vol. 30, Núm. 11, pp. 1027-1036

  2. Guest editorial: Special issue on evolutionary algorithms based on probabilistic models

    IEEE Transactions on Evolutionary Computation

  3. Research topics in discrete estimation of distribution algorithms based on factorizations

    Memetic Computing, Vol. 1, Núm. 1, pp. 35-54

2008

  1. Adaptive estimation of distribution algorithms

    Studies in Computational Intelligence, Vol. 136, pp. 177-197

  2. Adding probabilistic dependencies to the search of protein side chain configurations using EDAs

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

  3. Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem

    Journal of Heuristics, Vol. 14, Núm. 5, pp. 519-547

  4. Component weighting functions for adaptive search with EDAs

    2008 IEEE Congress on Evolutionary Computation, CEC 2008

  5. Inference of population structure using genetic markers and a Bayesian model averaging approach for clustering

    Journal of Computational Biology, Vol. 15, Núm. 2, pp. 207-220

  6. Prioritization of candidate cancer genes-an aid to oncogenomic studies

    Nucleic Acids Research, Vol. 36, Núm. 18

  7. Protein folding in simplified models with estimation of distribution algorithms

    IEEE Transactions on Evolutionary Computation, Vol. 12, Núm. 4, pp. 418-438

  8. The impact of exact probabilistic learning algorithms in EDAs based on Bayesian networks

    Studies in Computational Intelligence, Vol. 157, pp. 109-139

2007

  1. A partially supervised classification approach to dominant and recessive human disease gene prediction

    Computer Methods and Programs in Biomedicine, Vol. 85, Núm. 3, pp. 229-237

  2. Algoritmos de estimación de distribuciones para el problema de la determinación de la cadena lateral de una proteína

    Actas del V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados

  3. Discriminative vs. generative learning of Bayesian network classifiers

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

  4. Exact Bayesian network learning in estimation of distribution algorithms

    2007 IEEE Congress on Evolutionary Computation, CEC 2007

  5. Learning Bayesian classifiers from positive and unlabeled examples

    Pattern Recognition Letters, Vol. 28, Núm. 16, pp. 2375-2384