Publicaciones en las que colabora con JOSÉ MANUEL BENÍTEZ SÁNCHEZ (14)

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

  2. Self-labeling techniques for semi-supervised time series classification: an empirical study

    Knowledge and Information Systems, Vol. 55, Núm. 2, pp. 493-528

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

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

    Mathematical Problems in Engineering, Vol. 2015

  5. 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

2014

  1. Fast fingerprint identification for large databases

    Pattern Recognition, Vol. 47, Núm. 2, pp. 588-602

  2. Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms

    Engineering Applications of Artificial Intelligence, Vol. 32, pp. 37-53

2012

  1. Optimization of neuro-coefficient smooth transition autoregressive models using differential evolution

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

  2. Time series modeling and forecasting using memetic algorithms for regime-switching models

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, Núm. 11, pp. 1841-1847