Publicaciones en colaboración con investigadores/as de Universidad de Burgos (31)

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

  3. The influence of noise on the evolutionary fuzzy systems for subgroup discovery

    Soft Computing, Vol. 20, Núm. 11, pp. 4313-4330

2015

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

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

  2. A first approach in the class noise filtering approaches for fuzzy subgroup discovery

    Advances in Intelligent Systems and Computing

  3. 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

  4. Data Preprocessing in Data Mining

    Intelligent Systems Reference Library, Vol. 72

  5. Data preparation basic models

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

  6. Data reduction

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

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

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

  8. Dealing with missing values

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

  9. Dealing with noisy data

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

  10. Discretization

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

  11. Feature selection

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

  12. Instance selection

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

  13. Introduction

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

  14. 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

  15. 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)