Publicaciones en las que colabora con ANTONIO BAHAMONDE RIONDA (31)

2016

  1. El deprendizax automáticu computacional na valoración d'exemplares bovinos d'Asturiana de los Valles

    Ciencies. Cartafueyos Asturianos de Ciencia y Teunoloxía: Revista de la Academia de la Llingua Asturiana, Núm. 6, pp. 46-61

  2. Using tensor products to detect unconditional label dependence in multilabel classifications

    Information Sciences, Vol. 329, pp. 20-32

2015

  1. Optimizing different loss functions in multilabel classifications

    Progress in Artificial Intelligence, Vol. 3, Núm. 2, pp. 107-118

2012

  1. Binary relevance efficacy for multilabel classification

    Progress in Artificial Intelligence, Vol. 1, Núm. 4, pp. 303-313

  2. Learning data structure from classes: A case study applied to population genetics

    Information Sciences, Vol. 193, pp. 22-35

2010

  1. A semi-dependent decomposition approach to learn hierarchical classifiers

    Pattern Recognition, Vol. 43, Núm. 11, pp. 3795-3804

  2. Explaining the genetic basis of complex quantitative traits through prediction models

    Journal of Computational Biology, Vol. 17, Núm. 12, pp. 1711-1723

2009

  1. Learning nondeterministic classifiers

    Journal of Machine Learning Research, Vol. 10, pp. 2273-2293

  2. Prediction and inheritance of phenotypes

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

  3. Soft margin trees

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

2008

  1. Clustering people according to their preference criteria

    Expert Systems with Applications, Vol. 34, Núm. 2, pp. 1274-1284

  2. Learning to predict one or more ranks in ordinal regression tasks

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

2006

  1. Identifying market segments in beef: Breed, slaughter weight and ageing time implications

    Meat Science, Vol. 74, Núm. 4, pp. 667-675

  2. Learning the reasons why groups of consumers prefer some food products

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

2005

  1. A kernel based method for discovering market segmente in beef meat

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

  2. La Raza Retinta y sus cruces

    Feagas, Núm. 28, pp. 72-76

  3. Trait selection for assessing beef meat quality using non-linear SVM

    Advances in Neural Information Processing Systems

2004

  1. Analyzing sensory data using non-linear preference learning with feature subset selection

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)