Publicaciones en colaboración con investigadores/as de Universidade de Vigo (15)

2020

  1. COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images

    IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 12, pp. 3595-3605

2014

  1. Embedding evolutionary multiobjective optimization into fuzzy linguistic combination method for fuzzy rule-based classifier ensembles

    IEEE International Conference on Fuzzy Systems

2013

  1. Fingrams: Visual representations of fuzzy rule-based inference for expert analysis of comprehensibility

    IEEE Transactions on Fuzzy Systems, Vol. 21, Núm. 6, pp. 1133-1149

  2. On applying random oracles to fuzzy rule-based classifier ensembles for high complexity datasets

    8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013 - Advances in Intelligent Systems Research

  3. Random oracles fuzzy rule-based multiclassifiers for high complexity datasets

    IEEE International Conference on Fuzzy Systems

2005

  1. Hybrid crossover operators for real-coded genetic algorithms: An experimental study

    Soft Computing, Vol. 9, Núm. 4, pp. 280-298

2003

  1. A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems

    Intelligent Systems for Information Processing: From Representation to Applications (Elsevier B.V.), pp. 315-326

  2. A taxonomy for the crossover operator for real-coded genetic algorithms: An experimental study

    International Journal of Intelligent Systems, Vol. 18, Núm. 3, pp. 309-338

  3. Linguistic modeling with hierarchical systems of weighted linguistic rules

    International Journal of Approximate Reasoning, Vol. 32, Núm. 2-3, pp. 187-215

2002

  1. A prediction system for cardiovascularity diseases using genetic fuzzy rule-based systems

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

  2. Multiple crossover per couple with selection of the two best offspring: An experimental study with the BLX-α crossover operator for real-coded genetic algorithms

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

2001

  1. A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base

    Information Sciences, Vol. 136, Núm. 1-4, pp. 85-107

  2. A multiobjective genetic algorithm for feature selection and granularity learning in fuzzy-rule based classification systems

    Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

  3. Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base

    IEEE Transactions on Fuzzy Systems, Vol. 9, Núm. 4, pp. 667-674

2000

  1. Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing

    International Journal of Approximate Reasoning, Vol. 25, Núm. 3, pp. 187-215