Publicaciones en las que colabora con JOSE RAMON QUEVEDO PEREZ (13)

2011

  1. TagRanker: Learning to recommend ranked tags

    Logic Journal of the IGPL, Vol. 19, Núm. 2, pp. 395-404

2010

  1. Ranked tag recommendation systems based on logistic regression

    Neural Network World, Vol. 20, Núm. 7, pp. 963-977

  2. Ranked tag recommendation systems based on logistic regression

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

2009

  1. Collaborative tag recommendation system based on logistic regression

    CEUR Workshop Proceedings

2007

  1. A hybrid feature selection method for text categorization

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 15, Núm. 2, pp. 133-151

2004

  1. Words as rules: Feature selection in text categorization

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3036, pp. 666-669

2003

  1. A wrapper approach with Support Vector Machines for Text Categorization

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2686, pp. 230-237

  2. Artificial intelligence techniques point out differences in classification performance between light and standard bovine carcasses

    Meat Science, Vol. 64, Núm. 3, pp. 249-258

  3. Choosing among algorithms to improve accuracy

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2686, pp. 246-253

2001

  1. The usefulness of artificial intelligence techniques to assess subjective quality of products in the food industry

    Trends in Food Science and Technology, Vol. 12, Núm. 10, pp. 370-381

  2. Using artificial intelligence to design and implement a morphological assessment system in beef cattle

    Animal Science, Vol. 73, Núm. 1, pp. 49-60

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)