Publicaciones en las que colabora con Pedro Larrañaga Múgica (15)

2004

  1. Gene selection for cancer classification using wrapper approaches

    International Journal of Pattern Recognition and Artificial Intelligence, Vol. 18, Núm. 8, pp. 1373-1390

  2. Learning bayesian networks in the space of orderings with estimation of distribution algorithms

    International Journal of Pattern Recognition and Artificial Intelligence, Vol. 18, Núm. 4, pp. 607-625

2002

  1. Gene selection by sequential search wrapper approaches in microarray cancer class prediction

    Journal of Intelligent and Fuzzy Systems, Vol. 12, Núm. 1 SPEC., pp. 25-33

2001

  1. Feature subset selection by Bayesian networks: A comparison with genetic and sequential algorithms

    International Journal of Approximate Reasoning, Vol. 27, Núm. 2, pp. 143-164

  2. On applying supervised classification techniques in medicine

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

  3. Prototype selection and feature subset selection by estimation of distribution algorithms. A case study in the survival of cirrhotic patients treated with TIPS?

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

  4. Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data

    Artificial Intelligence in Medicine, Vol. 22, Núm. 3, pp. 233-248

2000

  1. Feature Subset Selection by Bayesian network-based optimization

    Artificial Intelligence, Vol. 123, Núm. 1-2, pp. 157-184

  2. Feature subset selection using probabilistic tree structures. A case study in the survival of cirrhotic patients treated with TIPS

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

  3. Medical bayes networks

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

1999

  1. Machine learning inspired approaches to combine standard medical measures at an intensive care unit

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

  2. Representing the behaviour of supervised classification learning algorithms by Bayesian networks

    Pattern Recognition Letters, Vol. 20, Núm. 11-13, pp. 1201-1209

1998

  1. Predicting survival in malignant skin melanoma using bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches

    Artificial Intelligence in Medicine, Vol. 14, Núm. 1-2, pp. 215-230

1997

  1. Bayesian networks, rule induction and logistic regression in the prediction of women survival suffering from breast cancer

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

  2. Learning bayesian networks by genetic algorithms: A case study in the prediction of survival in malignant skin melanoma

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