Publications by the researcher in collaboration with JOSÉ MANUEL BENÍTEZ SÁNCHEZ (55)

2018

  1. A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark

    Swarm and Evolutionary Computation, Vol. 38, pp. 240-250

  2. A forecasting methodology for workload forecasting in cloud systems

    IEEE Transactions on Cloud Computing, Vol. 6, Núm. 4, pp. 929-941

  3. An Information Theory-Based Feature Selection Framework for Big Data under Apache Spark

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 48, Núm. 9, pp. 1441-1453

  4. 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. Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data

    International Journal of Intelligent Systems, Vol. 32, Núm. 2, pp. 134-152

  3. Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks

    Information Sciences, Vol. 408, pp. 198-212

  4. Nearest neighbor classification for high-speed big data streams using spark

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 47, Núm. 10, pp. 2727-2739

  5. SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification

    Progress in Artificial Intelligence, Vol. 6, Núm. 4, pp. 347-354

2016

  1. A wrapper evolutionary approach for supervised multivariate discretization: A case study on decision trees

    Advances in Intelligent Systems and Computing

  2. 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

  3. Data discretization: Taxonomy and big data challenge

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 6, Núm. 1, pp. 5-21

  4. GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs

    Information Sciences, Vol. 373, pp. 165-182

  5. Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification

    IEEE Transactions on Cybernetics, Vol. 46, Núm. 3, pp. 595-608

2015

  1. A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules

    International Journal of Computational Intelligence Systems, Vol. 8, Núm. 3, pp. 422-437

  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. Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification

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

  6. Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data

    Fuzzy Sets and Systems, Vol. 258, pp. 5-38