Publications by the researcher in collaboration with FRANCISCO HERRERA TRIGUERO (24)

2024

  1. On the Suitability of Fuzzy Rule-Based Classification Systems with Noisy Data

    IEEE Transactions on Fuzzy Systems

2020

  1. Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review

    Swarm and Evolutionary Computation, Vol. 54

2019

  1. Deep Learning in Omics Data Analysis and Precision Medicine

    Computational Biology (Codon Publications)

2018

  1. On a new methodology for ranking fuzzy numbers and its application to real economic data

    Fuzzy Sets and Systems, Vol. 353, pp. 86-110

2017

  1. The Noise Filters R package: Label noise preprocessing in R

    R Journal, Vol. 9, Núm. 1, pp. 219-228

2016

  1. Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure

    Neurocomputing, Vol. 176, pp. 26-35

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

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

2015

  1. SMOTE-IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

    Information Sciences, Vol. 291, Núm. C, pp. 184-203

  2. Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems

    Knowledge-Based Systems, Vol. 90, pp. 153-164

2014

  1. Analyzing the presence of noise in multi-class problems: Alleviating its influence with the One-vs-One decomposition

    Knowledge and Information Systems, Vol. 38, Núm. 1, pp. 179-206

  2. Improving the behavior of the nearest neighbor classifier against noisy data with feature weighting schemes

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

  3. Managing borderline and noisy examples in imbalanced classification by combining smote with ensemble filtering

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

  4. On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification

    Neurocomputing, Vol. 132, pp. 30-41

  5. Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers

    Pattern Recognition, Vol. 47, Núm. 12, pp. 3941-3948

2013

  1. A survey of discretization techniques: Taxonomy and empirical analysis in supervised learning

    IEEE Transactions on Knowledge and Data Engineering, Vol. 25, Núm. 4, pp. 734-750

  2. An experimental case of study on the behavior of multiple classifier systems with class noise datasets

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

  3. Predicting noise filtering efficacy with data complexity measures for nearest neighbor classification

    Pattern Recognition, Vol. 46, Núm. 1, pp. 355-364

  4. Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness

    Information Sciences, Vol. 247, pp. 1-20

2012

  1. A first study on decomposition strategies with data with class noise using decision trees

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

  2. Missing data imputation for fuzzy rule-based classification systems

    Soft Computing, Vol. 16, Núm. 5, pp. 863-881