Publicaciones en colaboración con investigadores/as de Universidad de Oviedo (25)

2024

  1. Modeling the opinion dynamics of superstars in the film industry

    Expert Systems with Applications, Vol. 250

2017

  1. KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

    International Journal of Computational Intelligence Systems, Vol. 10, Núm. 1, pp. 1238-1249

2014

  1. Cost-Sensitive Learning of Fuzzy Rules for Imbalanced Classification Problems Using FURIA

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 22, Núm. 5, pp. 643-675

2011

  1. KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework

    Journal of Multiple-Valued Logic and Soft Computing, Vol. 17, Núm. 2-3, pp. 255-287

2010

  1. Introducing a genetic fuzzy linguistic combination method for bagging fuzzy rule-based multiclassification systems

    2010 4th International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2010

  2. Introduction to the experimental design in the data mining tool KEEL

    Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies (IGI Global), pp. 1-25

2009

  1. Genetic learning of fuzzy rules based on low quality data

    Fuzzy Sets and Systems, Vol. 160, Núm. 17, pp. 2524-2552

  2. KEEL: A software tool to assess evolutionary algorithms for data mining problems

    Soft Computing, Vol. 13, Núm. 3, pp. 307-318

2008

  1. A first study on bagging fuzzy rule-based classification systems with multicriteria genetic selection of the component classifiers

    2008 3rd International Workshop on Genetic and Evolving Fuzzy Systems, GEFS

  2. KEEL: A data mining software tool integrating genetic fuzzy systems

    2008 3rd International Workshop on Genetic and Evolving Fuzzy Systems, GEFS

  3. On the use of bagging, mutual information-based feature selection and multicriteria genetic algorithms to design fuzzy rule-based classification ensembles

    Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008

2007

  1. Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation

    International Journal of Approximate Reasoning, Vol. 44, Núm. 1, pp. 45-64

  2. Modeling vague data with genetic fuzzy systems under a combination of crisp and imprecise criteria

    Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, MCDM 2007

2006

  1. A multiobjective genetic fuzzy system with imprecise probability fitness for vague data

    Proceedings of the 2006 International Symposium on Evolving Fuzzy Systems, EFS'06

  2. Knowledge extraction from fuzzy data for estimating consumer behavior models

    IEEE International Conference on Fuzzy Systems