Publikationen, an denen er mitarbeitet ELIAS FERNANDEZ COMBARRO ALVAREZ (21)

2013

  1. A SVM-based regression model to study the air quality at local scale in Oviedo urban area (Northern Spain): A case study

    Applied Mathematics and Computation, Vol. 219, Núm. 17, pp. 8923-8937

2011

  1. A SVM-based regression model to study the air quality in the urban area of the city of Oviedo (Spain)

    Support Vector Machines: Data Analysis, Machine Learning and Applications (Nova Science Publishers, Inc.), pp. 27-49

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

    International Journal of Computer Mathematics

2009

  1. 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

  2. Polynomian measures for dimensionality reduction in text categorization

    Actas del IV Taller de Minería de Datos y Aprendizaje: [TAMIDA 2007]

2006

  1. Angular measures for feature selection in text categorization

    Proceedings of the ACM Symposium on Applied Computing

  2. Finding optimal linear measures for feature selection in text categorization

    Proceedings of the ACM Symposium on Applied Computing

  3. 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 comparison of the performance of SVM and ARNI on text categorization with new filtering measures on an unbalanced collection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2687, pp. 742-749

  2. 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