Publicaciones en las que colabora con Mikel Galar Idoate (37)

2021

  1. EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification

    Applied Soft Computing, Vol. 101

2020

  1. A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification

    2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

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. Improving fuzzy rule based classification systems in big data via support-based filtering

    IEEE International Conference on Fuzzy Systems

  4. 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