PEDRO MARIA
LARRAÑAGA MUGICA
Investigador/a en el periodo 2004-2008
JOSE ANTONIO
LOZANO ALONSO
PROFESORADO CATEDRATICO/A DE UNIVERSIDAD
Publicaciones en las que colabora con JOSE ANTONIO LOZANO ALONSO (54)
2012
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Wrapper positive Bayesian network classifiers
Knowledge and Information Systems, Vol. 33, Núm. 3, pp. 631-654
2010
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Learning factorizations in estimation of distribution algorithms using affinity propagation
Evolutionary Computation, Vol. 18, Núm. 4, pp. 515-546
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Machine learning: an indispensable tool in bioinformatics.
Methods in molecular biology (Clifton, N.J.), Vol. 593, pp. 25-48
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Mateda-2.0: Estimation of distribution algorithms in MATLAB
Journal of Statistical Software, Vol. 35, Núm. 7, pp. 1-30
2009
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Feature subset selection from positive and unlabelled examples
Pattern Recognition Letters, Vol. 30, Núm. 11, pp. 1027-1036
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Guest editorial: Special issue on evolutionary algorithms based on probabilistic models
IEEE Transactions on Evolutionary Computation
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Research topics in discrete estimation of distribution algorithms based on factorizations
Memetic Computing, Vol. 1, Núm. 1, pp. 35-54
2008
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Adaptive estimation of distribution algorithms
Studies in Computational Intelligence, Vol. 136, pp. 177-197
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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)
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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
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Component weighting functions for adaptive search with EDAs
2008 IEEE Congress on Evolutionary Computation, CEC 2008
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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
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Prioritization of candidate cancer genes-an aid to oncogenomic studies
Nucleic Acids Research, Vol. 36, Núm. 18
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Protein folding in simplified models with estimation of distribution algorithms
IEEE Transactions on Evolutionary Computation, Vol. 12, Núm. 4, pp. 418-438
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The impact of exact probabilistic learning algorithms in EDAs based on Bayesian networks
Studies in Computational Intelligence, Vol. 157, pp. 109-139
2007
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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
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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
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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)
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Exact Bayesian network learning in estimation of distribution algorithms
2007 IEEE Congress on Evolutionary Computation, CEC 2007
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Learning Bayesian classifiers from positive and unlabeled examples
Pattern Recognition Letters, Vol. 28, Núm. 16, pp. 2375-2384