Publicaciones en las que colabora con Humberto Bustince Sola (22)

2018

  1. NMC, Nearest Matrix Classification: a new combination model for pruning one-vs-one ensembles by transforming the aggregation problem

    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. NMC: nearest matrix classification – A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem

    Information Fusion, Vol. 36, pp. 26-51

2016

  1. Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC)

    International Journal of Approximate Reasoning, Vol. 73, pp. 108-122

  2. New ordering-based pruning metrics for ensembles of classifiers in imbalanced datasets

    Advances in Intelligent Systems and Computing

  3. Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets

    Information Sciences, Vol. 354, pp. 178-196

2015

  1. Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between n-Dimensional Overlap Functions and Decomposition Strategies

    IEEE Transactions on Fuzzy Systems, Vol. 23, Núm. 5, pp. 1562-1580

  2. Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection

    Proceedings of the 2015 conference of the international fuzzy systems association and the european society for fuzzy logic and technology

  3. On the impact of Distance-based Relative Competence Weighting approach in One-vs-One classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm

    IEEE International Conference on Fuzzy Systems

2013

  1. Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers

    Pattern Recognition, Vol. 46, Núm. 12, pp. 3412-3424

  2. IVTURS: A linguistic fuzzy rule-based classification system based on a new interval-valued fuzzy reasoning method with tuning and rule selection

    IEEE Transactions on Fuzzy Systems, Vol. 21, Núm. 3, pp. 399-411

2012

  1. A review on ensembles for the class imbalance problem: Bagging-, boosting-, and hybrid-based approaches

    IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, Vol. 42, Núm. 4, pp. 463-484

  2. IIVFDT: Ignorance functions based interval-valued fuzzy decision tree with genetic tuning

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 20, Núm. SUPPL. 2, pp. 1-30

2011

  1. A case study on medical diagnosis of cardiovascular diseases using a genetic algorithm for tuning fuzzy rule-based classification systems with interval-valued fuzzy sets

    IEEE SSCI 2011: Symposium Series on Computational Intelligence - T2FUZZ 2011: 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems

  2. A genetic tuning to improve the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets: Degree of ignorance and lateral position

    International Journal of Approximate Reasoning, Vol. 52, Núm. 6, pp. 751-766

  3. An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes

    Pattern Recognition, Vol. 44, Núm. 8, pp. 1761-1776

  4. Construction of interval-valued fuzzy preference relations using ignorance functions: Interval-valued non dominance criterion

    Advances in Intelligent and Soft Computing, Vol. 107, pp. 243-255

  5. On the cooperation of interval-valued fuzzy sets and genetic tuning to improve the performance of fuzzy decision trees

    IEEE International Conference on Fuzzy Systems

2010

  1. A genetic algorithm for tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets

    2010 IEEE World Congress on Computational Intelligence, WCCI 2010

  2. Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning

    Information Sciences, Vol. 180, Núm. 19, pp. 3674-3685

  3. Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations

    Fuzzy Sets and Systems, Vol. 161, Núm. 23, pp. 3064-3080