Publicaciones en colaboración con investigadores/as de Universidad de Burgos (30)

2018

  1. A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy

    Knowledge-Based Systems, Vol. 139, pp. 89-100

2017

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

    International Journal of Neural Systems, Vol. 27, Núm. 6

2016

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

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

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

    Neurocomputing, Vol. 176, pp. 26-35

  3. 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. A data mining software package including data preparation and reduction: Keel

    Intelligent Systems Reference Library, Vol. 72, pp. 285-313

  2. An automatic extraction method of the domains of competence for learning classifiers using data complexity measures

    Knowledge and Information Systems, Vol. 42, Núm. 1, pp. 147-180

  3. Data Preprocessing in Data Mining

    Intelligent Systems Reference Library, Vol. 72

  4. Data preparation basic models

    Intelligent Systems Reference Library, Vol. 72, pp. 39-57

  5. Data reduction

    Intelligent Systems Reference Library, Vol. 72, pp. 147-162

  6. Data sets and proper statistical analysis of data mining techniques

    Intelligent Systems Reference Library, Vol. 72, pp. 19-38

  7. Dealing with missing values

    Intelligent Systems Reference Library, Vol. 72, pp. 59-105

  8. Dealing with noisy data

    Intelligent Systems Reference Library, Vol. 72, pp. 107-145

  9. Discretization

    Intelligent Systems Reference Library, Vol. 72, pp. 245-283

  10. Feature selection

    Intelligent Systems Reference Library, Vol. 72, pp. 163-193

  11. Instance selection

    Intelligent Systems Reference Library, Vol. 72, pp. 195-243

  12. Introduction

    Intelligent Systems Reference Library, Vol. 72, pp. 1-17

  13. 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

  14. 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