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- Journal Article
- A1
- open access
Asynchronous processing for latent fingerprint identification on heterogeneous CPU-GPU systems
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Multi-label classification using a fuzzy rough neighborhood consensus
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Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition : a fuzzy rough set approach
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On the use of convolutional neural networks for robust classification of multiple fingerprint captures
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- Journal Article
- A1
- open access
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks
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- Journal Article
- A1
- open access
A snapshot of image pre-processing for convolutional neural networks : case study of MNIST
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Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection
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DPD-DFF : a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases
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Fuzzy multi-instance classifiers
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Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines : experimental evaluation and support vector analysis
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Fuzzy rough classifiers for class imbalanced multi-instance data
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Multiple instance learning : foundations and algorithms
(2016) -
A historical account of types of fuzzy sets and their relationships
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ROSEFW-RF: the winner algorithm for the ECBDL'14 big data competition: an extremely imbalanced big data bioinformatics problem
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- Journal Article
- A1
- open access
Evolutionary feature selection for big data classification: a MapReduce approach
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Evolutionary undersampling for imbalanced big data classification
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IFROWANN : imbalanced fuzzy-rough ordered weighted average nearest neighbor classification
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A survey on fingerprint minutiae-based local matching for verification and identification: taxonomy and experimental evaluation
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A survey of fingerprint classification, part II: experimental analysis and ensemble proposal
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A survey of fingerprint classification, part I: taxonomies on feature extraction methods and learning models