Publicaciones en las que colabora con SUSANA IRENE DIAZ RODRIGUEZ (20)

2011

  1. A framework for diagnosis of urinary incontinence disease based on scoring measures and automatic classifiers

    Computers in Biology and Medicine, Vol. 41, Núm. 1, pp. 11-17

  2. An improved feature reduction approach based on redundancy techniques for predicting female urinary incontinence

    International Journal of Computer Mathematics

  3. 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

  2. Set Cover Feature Selection for Text Categorisation and spam detection

    International Journal of Advanced Intelligence Paradigms, Vol. 1, Núm. 4, pp. 444-462

2008

  1. Using Laplace and angular measures for Feature Selection in Text Categorisation

    International Journal of Advanced Intelligence Paradigms, Vol. 1, Núm. 1, pp. 40-59

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

2006

  1. NoW architectures, dimensionality reduction and self-organizing maps for information retrieval

    Recent progress in computational sciences and engineering, vols 7A and 7B

2005

  1. Introducing a family of linear measures for feature selection in text categorization

    IEEE Transactions on Knowledge and Data Engineering, Vol. 17, Núm. 9, pp. 1223-1232

  2. Scoring and selecting terms for tract categorization

    IEEE Intelligent Systems, Vol. 20, Núm. 3, pp. 40-47

  3. Towards automatic and optimal filtering levels for feature selection in Text Categorization

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

  4. Unsupervised learning in information retrieval using NOW architectures

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

2004

  1. Extraction of document descriptive terms with a linguistic-based machine learning approach

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3037, pp. 658-661

  2. Improving performance of text categorization by combining filtering and support vector machines

    Journal of the American Society for Information Science and Technology, Vol. 55, Núm. 7, pp. 579-592

  3. Text categorization by a machine-learning-based term selection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3180, pp. 253-262

  4. 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. Measures of rule quality for feature selection in text categorization

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2810, pp. 589-598