Publicaciones en las que colabora con JAIME ALONSO GONZALEZ (20)

2018

  1. A new method to learn growth curves of beef cattle using a factorization approach

    Computers and Electronics in Agriculture, Vol. 151, pp. 77-83

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

2015

  1. Improved estimation of bovine weight trajectories using Support Vector Machine Classification

    Computers and Electronics in Agriculture, Vol. 110, pp. 36-41

2013

  1. Support Vector Regression to predict carcass weight in beef cattle in advance of the slaughter

    Computers and Electronics in Agriculture, Vol. 91, pp. 116-120

2009

  1. Prediction and inheritance of phenotypes

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

2008

  1. 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)

2007

  1. Morphological assessment of beef cattle according to carcass value

    Livestock Science, Vol. 107, Núm. 2-3, pp. 265-273

2004

  1. Discovering relevancies in very difficult regression problems: Applications to sensory data analysis

    Frontiers in Artificial Intelligence and Applications

  2. Feature subset selection for learning preferences: A case study

    Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004

  3. Un algoritmo de aprendizaje automático para evaluación de la calidad a partir de calificaciones subjetivas

    ITEA. Producción animal, Vol. 100, Núm. 1, pp. 5-16

2002

  1. Learning to assess from pair-wise comparisons

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

1999

  1. Autonomous clustering for machine learning

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

  2. Self-organizing cases to find paradigms

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

1998

  1. Machine learning usefulness relies on accuracy and self-maintenance

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

1997

  1. Self-organizing symbolic learned rules

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

  2. Un sistema que adecua las reglas aprendidas a las críticas recibidas sobre sus actuaciones

    CAEPIA'97: actas