FRANCISCO
HERRERA TRIGUERO
CATEDRÁTICO DE UNIVERSIDAD
JOSÉ MANUEL
BENÍTEZ SÁNCHEZ
CATEDRÁTICO DE UNIVERSIDAD
Publikationen, an denen er mitarbeitet JOSÉ MANUEL BENÍTEZ SÁNCHEZ (46)
2018
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A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark
Swarm and Evolutionary Computation, Vol. 38, pp. 240-250
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A forecasting methodology for workload forecasting in cloud systems
IEEE Transactions on Cloud Computing, Vol. 6, Núm. 4, pp. 929-941
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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
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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
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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
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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
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Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks
Information Sciences, Vol. 408, pp. 198-212
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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
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SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification
Progress in Artificial Intelligence, Vol. 6, Núm. 4, pp. 347-354
2016
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A wrapper evolutionary approach for supervised multivariate discretization: A case study on decision trees
Advances in Intelligent Systems and Computing
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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
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Data discretization: Taxonomy and big data challenge
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 6, Núm. 1, pp. 5-21
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GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs
Information Sciences, Vol. 373, pp. 165-182
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Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification
IEEE Transactions on Cybernetics, Vol. 46, Núm. 3, pp. 595-608
2015
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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
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A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models
Knowledge-Based Systems, Vol. 81, pp. 76-97
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A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal
Knowledge-Based Systems, Vol. 81, pp. 98-116
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A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation
Information Sciences, Vol. 315, pp. 67-87
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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
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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