Publicaciones en las que colabora con Mikel Galar Idoate (34)

2019

  1. Guest Editorial: Computational Intelligence for Big Data Analytics

    Cognitive Computation

2018

  1. A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark

    2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings

  2. Dynamic ensemble selection for multi-class classification with one-class classifiers

    Pattern Recognition, Vol. 83, pp. 34-51

  3. 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. A first attempt on global evolutionary undersampling for imbalanced big data

    2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

  2. 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. Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy

    Applied Soft Computing Journal, Vol. 38, pp. 714-726

  3. Evolutionary undersampling for extremely imbalanced big data classification under apache spark

    2016 IEEE Congress on Evolutionary Computation, CEC 2016

  4. INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control

    Information Fusion, Vol. 27, pp. 19-32

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

    Advances in Intelligent Systems and Computing

  6. 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. A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models

    Knowledge-Based Systems, Vol. 81, pp. 76-97

  2. A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal

    Knowledge-Based Systems, Vol. 81, pp. 98-116

  3. A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation

    Information Sciences, Vol. 315, pp. 67-87

  4. DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems

    Pattern Recognition, Vol. 48, Núm. 1, pp. 28-42

  5. 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

  6. Evolutionary undersampling for imbalanced big data classification

    2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings

  7. 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

  8. 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