Publicacions en col·laboració amb investigadors/es de Universidade de Vigo (27)

2014

  1. A novel ensemble of classifiers that use biological relevant gene sets for microarray classification

    Applied Soft Computing Journal, Vol. 17, pp. 117-126

  2. Assuring the authenticity of northwest Spain white wine varieties using machine learning techniques

    Food Research International, Vol. 60, pp. 230-240

  3. Automatic parameter tuning for Evolutionary Algorithms using a Bayesian Case-Based Reasoning system

    Applied Soft Computing Journal, Vol. 18, pp. 185-195

2013

  1. GenEnsemble: A new model for the combination of classifiers and integration of biological knowledge applied to genomic data

    Expert Systems with Applications, Vol. 40, Núm. 1, pp. 52-63

2012

  1. A novel ensemble approach for multicategory classification of DNA microarray data using biological relevant gene sets

    International Journal of Data Mining and Bioinformatics, Vol. 6, Núm. 6, pp. 602-616

  2. Grindstone4Spam: An optimization toolkit for boosting e-mail classification

    Journal of Systems and Software, Vol. 85, Núm. 12, pp. 2909-2920

2011

  1. A simulated annealing-based algorithm for iterative class discovery using fuzzy logic for informative gene selection

    Journal of Integrated OMICS, Vol. 1, Núm. 1, pp. 66-77

2009

  1. An evolutionary approach for sample-based clustering on microarray data

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

  2. Fuzzy patterns and GCS networks to clustering gene expression data

    Studies in Fuzziness and Soft Computing, Vol. 242, pp. 103-125

  3. Managing irrelevant knowledge in CBR models for unsolicited e-mail classification

    Expert Systems with Applications, Vol. 36, Núm. 2 PART 1, pp. 1601-1614

  4. geneCBR: A translational tool for multiple-microarray analysis and integrative information retrieval for aiding diagnosis in cancer research

    BMC Bioinformatics, Vol. 10

2007

  1. Applying lazy learning algorithms to tackle concept drift in spam filtering

    Expert Systems with Applications, Vol. 33, Núm. 1, pp. 36-48

  2. Assessing classification accuracy in the revision stage of a CBR spam filtering system

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

  3. Reducing the memory size of a Fuzzy case-based reasoning system applying rough set techniques

    IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, Vol. 37, Núm. 1, pp. 138-146

  4. Relaxing feature selection in spam filtering by using case-based reasoning systems

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

  5. SpamHunting: An instance-based reasoning system for spam labelling and filtering

    Decision Support Systems, Vol. 43, Núm. 3, pp. 722-736

2006

  1. A comparative performance study of feature selection methods for the anti-spam filtering domain

    Advances in Data Mining. Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, 6th Industrial Conference on Data Mining, ICDM 2006, Leipzig, Germany, July 14-15, 2006, Proceedings

  2. Applying GCS networks to fuzzy discretized microarray data for tumour diagnosis

    Intelligent Data Engineering and Automated Learning – IDEAL 2006

  3. GENE-CBR: A case-based reasonig tool for cancer diagnosis using microarray data sets

    Computational Intelligence, Vol. 22, Núm. 3-4, pp. 254-268

  4. Tokenising, stemming and stopword removal on anti-spam filtering domain

    11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005