Publicaciones en las que colabora con Luciano Sánchez Ramos (26)

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

2015

  1. Genetic learning of the membership functions for mining fuzzy association rules from low quality data

    Information Sciences, Vol. 295, pp. 358-378

  2. The behavioral meaning of the median

    Information Sciences, Vol. 294, pp. 127-138

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

2013

  1. A genetic fuzzy linguistic combination method for fuzzy rule-based multiclassifiers

    IEEE Transactions on Fuzzy Systems, Vol. 21, Núm. 5, pp. 950-965

  2. Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?

    Knowledge-Based Systems, Vol. 54, pp. 3-21

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

  3. KEEL: una herramienta software para el análisis de sistemas difusos evolutivos

    XV Congreso Español sobre Tecnologías y Lógica Fuzzy ESTYLF 2010: Huelva [Recurso electrónico]

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. Fuzzy-genetic optimization of the parameters of a low cost system for the optical measurement of several dimensions of vehicles

    Soft Computing, Vol. 12, Núm. 8, pp. 751-764

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

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

  4. 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. 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

2004

  1. Proyecto KEEL: desarrollo de una herramienta para el análisis e implementación de algoritmos de extracción de conocimiento evolutivos

    Tendencias de la minería de datos en España: Red Española de Minería de Datos y Aprendizaje (TIC2002-11124-E) (Raúl Giráldez), pp. 413-423