Publicaciones en las que colabora con Isaac Triguero Velázquez (20)

2021

  1. Decomposition-Fusion for Label Distribution Learning

    Information Fusion, Vol. 66, pp. 64-75

2017

  1. KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

    International Journal of Computational Intelligence Systems, Vol. 10, Núm. 1, pp. 1238-1249

2016

  1. DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases

    Information Fusion, Vol. 32, pp. 40-51

  2. From Big Data to Smart Data with the K-Nearest Neighbours Algorithm

    Proceedings - 2016 IEEE International Conference on Internet of Things; IEEE Green Computing and Communications; IEEE Cyber, Physical, and Social Computing; IEEE Smart Data, iThings-GreenCom-CPSCom-Smart Data 2016

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. MRPR: A MapReduce solution for prototype reduction in big data classification

    Neurocomputing, Vol. 150, Núm. Part A, pp. 331-345

  5. SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification

    IEEE Transactions on Cybernetics, Vol. 45, Núm. 4, pp. 622-634

  6. Self-labeled techniques for semi-supervised learning: Taxonomy, software and empirical study

    Knowledge and Information Systems, Vol. 42, Núm. 2, pp. 245-284

2014

  1. A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation

    Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014

  2. A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification

    Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014

  3. Addressing imbalanced classification with instance generation techniques: IPADE-ID

    Neurocomputing, Vol. 126, pp. 15-28

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

    Neurocomputing, Vol. 132, pp. 30-41

2012

  1. A co-evolutionary framework for nearest neighbor enhancement: Combining instance and feature weighting with instance selection

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

  2. A taxonomy and experimental study on prototype generation for nearest neighbor classification

    IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, Vol. 42, Núm. 1, pp. 86-100

  3. Evolutionary-based selection of generalized instances for imbalanced classification

    Knowledge-Based Systems, Vol. 25, Núm. 1, pp. 3-12

  4. Integrating a differential evolution feature weighting scheme into prototype generation

    Neurocomputing, Vol. 97, pp. 332-343

  5. Integrating instance selection, instance weighting, and feature weighting for nearest neighbor classifiers by coevolutionary algorithms

    IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 42, Núm. 5, pp. 1383-1397

2010

  1. A preliminary study on the selection of generalized instances for imbalanced classification

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