Publicaciones en colaboración con investigadores/as de Ghent University (15)

2018

  1. On the use of convolutional neural networks for robust classification of multiple fingerprint captures

    International Journal of Intelligent Systems, Vol. 33, Núm. 1, pp. 213-230

2017

  1. Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection

    Knowledge-Based Systems, Vol. 126, pp. 91-103

  2. kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data

    Knowledge-Based Systems, Vol. 117, pp. 3-15

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. EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data

    Neurocomputing, Vol. 216, pp. 596-610

  3. Evolutionary undersampling for extremely imbalanced big data classification under apache spark

    2016 IEEE Congress on Evolutionary Computation, CEC 2016

  4. Labelling strategies for hierarchical multi-label classification techniques

    Pattern Recognition, Vol. 56, pp. 170-183

  5. On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems

    Information Sciences, Vol. 328, pp. 42-59

2015

  1. A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification

    Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015

  2. A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models

    Knowledge-Based Systems, Vol. 81, pp. 76-97

  3. A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal

    Knowledge-Based Systems, Vol. 81, pp. 98-116

  4. A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation

    Information Sciences, Vol. 315, pp. 67-87

  5. Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach

    Mathematical Problems in Engineering, Vol. 2015

  6. Evolutionary undersampling for imbalanced big data classification

    2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings

  7. ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem

    Knowledge-Based Systems, Vol. 87, pp. 69-79