Publicacions en què col·labora amb MARÍA JOSÉ DEL JESÚS DÍAZ (26)

2019

  1. Evolutionary fuzzy systems for explainable artificial intelligence: Why, when, what for, and where to?

    IEEE Computational Intelligence Magazine, Vol. 14, Núm. 1, pp. 69-81

2018

  1. Pareto based ensemble with feature and instance selection for learning from multi-class imbalanced datasets

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

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

2016

  1. A View on Fuzzy Systems for Big Data: Progress and Opportunities

    International Journal of Computational Intelligence Systems, Vol. 9, pp. 69-80

2015

  1. Addressing overlapping in classification with imbalanced datasets: A first multi-objective approach for feature and instance selection

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

  2. Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges

    Knowledge-Based Systems, Vol. 80, pp. 109-121

2014

  1. Big Data with Cloud Computing: An insight on the computing environment, MapReduce, and programming frameworks

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 4, Núm. 5, pp. 380-409

2013

  1. A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets

    Knowledge-Based Systems, Vol. 38, pp. 85-104

  2. Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches

    Knowledge-Based Systems, Vol. 42, pp. 97-110

2012

  1. Cost sensitive and preprocessing for classification with imbalanced data-sets: Similar behaviour and potential hybridizations

    ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods

2011

  1. On the Usefulness of Fuzzy Rule Based Systems Based on Hierarchical Linguistic Fuzzy Partitions

    Intelligent Systems Reference Library, Vol. 13, pp. 155-184

2010

  1. Analysing the hierarchical fuzzy rule based classification systems with genetic rule selection

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

  2. Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets

    Pattern Recognition Letters, Vol. 31, Núm. 15, pp. 2375-2388

  3. Multi-class imbalanced data-sets with linguistic fuzzy rule based classification systems based on pairwise learning

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

  4. On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets

    Information Sciences, Vol. 180, Núm. 8, pp. 1268-1291

2009

  1. A preliminar analysis of CO2RBFN in imbalanced problems

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

  2. Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets

    PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE

  3. Genetic cooperative-competitive fuzzy rule based learning method using genetic programming for highly imbalanced data-sets

    2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings

  4. Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets

    International Journal of Approximate Reasoning, Vol. 50, Núm. 3, pp. 561-577

  5. Improving the performance of fuzzy rule based classification systems for highly imbalanced data-sets using an evolutionary adaptive inference system

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