Publicaciones en las que colabora con Francisco Herrera Triguero (20)

2012

  1. Prototype selection for nearest neighbor classification: Taxonomy and empirical study

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 34, Núm. 3, pp. 417-435

2011

  1. Modelo predictivo colaborativo de apoyo al diagnóstico en servicio de urgencias psiquiátricas

    Proyectos de investigación. 2008-09: [recurso electrónico] (Universidad de Jaén), pp. 353-368

2009

  1. A review on evolutionary prototype selection: An empirical study of performance and efficiency

    Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications (IGI Global), pp. 92-113

  2. Diagnose effective evolutionary prototype selection using an overlapping measure

    International Journal of Pattern Recognition and Artificial Intelligence, Vol. 23, Núm. 8, pp. 1527-1548

2008

  1. A memetic algorithm for evolutionary prototype selection: A scaling up approach

    Pattern Recognition, Vol. 41, Núm. 8, pp. 2693-2709

  2. Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection

    Expert Systems with Applications, Vol. 35, Núm. 4, pp. 1949-1965

  3. Replacement strategies to preserve useful diversity in steady-state genetic algorithms

    Information Sciences, Vol. 178, Núm. 23, pp. 4421-4433

  4. Subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes

    Pattern Recognition Letters, Vol. 29, Núm. 16, pp. 2156-2164

2007

  1. Evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability

    Data and Knowledge Engineering, Vol. 60, Núm. 1, pp. 90-108

  2. Un algoritmo memético para selección de prototipos: Una propuesta eficiente para problemas de tamaño medio

    Actas del V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados

2006

  1. A proposal of evolutionary prototype selection for class imbalance problems

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

  2. Incorporating knowledge in evolutionary prototype selection

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

  3. On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining

    Applied Soft Computing Journal, Vol. 6, Núm. 3, pp. 323-332

2005

  1. Extracción de Modelos Predictivos e Interpretables en Conjuntos de Datos de Tamaño Grande mediante la Selección de Conjuntos de Entrenamiento

    Actas del III Taller Nacional de Minería de Datos y Aprendizaje (Thomson-Paraninfo), pp. 145-152

  2. Stratification for scaling up evolutionary prototype selection

    Pattern Recognition Letters, Vol. 26, Núm. 7, pp. 953-963

2004

  1. Selección evolutiva estratificada de conjuntos de entrenamiento para la obtención de bases de reglas con un alto equilibrio entre precisión e interpretabilidad

    Tendencias de la minería de datos en España: Red Española de Minería de Datos y Aprendizaje (TIC2002-11124-E) (Raúl Giráldez), pp. 263-274

2003

  1. Linguistic modeling with hierarchical systems of weighted linguistic rules

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

  2. Using evolutionary algorithms as instance selection for data reduction in KDD: An experimental study

    IEEE Transactions on Evolutionary Computation, Vol. 7, Núm. 6, pp. 561-575

2002

  1. A GRASP algorithm for clustering

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

  2. A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure

    Journal of Intelligent and Fuzzy Systems