Daniel Peralta
Daniel Peralta
Postdoctoral Resarcher, VIB Center for Inflammation Research, VIB - Ghent University
Verified email at irc.vib-ugent.be
Title
Cited by
Cited by
Year
MRPR: a MapReduce solution for prototype reduction in big data classification
I Triguero, D Peralta, J Bacardit, S García, F Herrera
neurocomputing 150, 331-345, 2015
2152015
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation
D Peralta, M Galar, I Triguero, D Paternain, S García, E Barrenechea, ...
Information Sciences 315, 67-87, 2015
1432015
Evolutionary feature selection for big data classification: A mapreduce approach
D Peralta, S Del Río, S Ramírez-Gallego, I Triguero, JM Benitez, ...
Mathematical Problems in Engineering 2015, 2015
1252015
An overview of e-learning in cloud computing
A Fernandez, D Peralta, F Herrera, JM Benítez
Workshop on Learning Technology for Education in Cloud (LTEC'12), 35-46, 2012
1182012
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models
M Galar, J Derrac, D Peralta, I Triguero, D Paternain, C Lopez-Molina, ...
Knowledge-based systems 81, 76-97, 2015
742015
Fast fingerprint identification for large databases
D Peralta, I Triguero, R Sanchez-Reillo, F Herrera, JM Benítez
Pattern Recognition 47 (2), 588-602, 2014
692014
On the use of convolutional neural networks for robust classification of multiple fingerprint captures
D Peralta, I Triguero, S García, Y Saeys, JM Benitez, F Herrera
International Journal of Intelligent Systems 33 (1), 213-230, 2018
642018
E-learning and educational data mining in cloud computing: an overview
A Fernández, D Peralta, JM Benítez, F Herrera
International Journal of Learning Technology 9 (1), 25-52, 2014
582014
A survey of fingerprint classification part II: experimental analysis and ensemble proposal
M Galar, J Derrac, D Peralta, I Triguero, D Paternain, C Lopez-Molina, ...
Knowledge-Based Systems 81, 98-116, 2015
512015
A snapshot of image pre-processing for convolutional neural networks: case study of MNIST
S Tabik, D Peralta, A Herrera-Poyatos, F Herrera
International Journal of Computational Intelligence Systems 10, 555-568, 2017
462017
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms
D Peralta, M Galar, I Triguero, O Miguel-Hurtado, JM Benitez, F Herrera
Engineering Applications of Artificial Intelligence 32, 37-53, 2014
432014
Minutiae-based fingerprint matching decomposition: methodology for big data frameworks
D Peralta, S García, JM Benitez, F Herrera
Information Sciences 408, 198-212, 2017
282017
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection
D Peralta, I Triguero, S García, Y Saeys, JM Benitez, F Herrera
Knowledge-Based Systems 126, 91-103, 2017
242017
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases
D Peralta, I Triguero, S García, F Herrera, JM Benitez
Information Fusion 32, 40-51, 2016
212016
Classification of Human White Blood Cells Using Machine Learning for Stain‐Free Imaging Flow Cytometry
M Lippeveld, C Knill, E Ladlow, A Fuller, LJ Michaelis, Y Saeys, A Filby, ...
Cytometry Part A, 2020
172020
Multiobjective optimization for railway maintenance plans
D Peralta, C Bergmeir, M Krone, M Galende, M Menéndez, ...
Journal of Computing in Civil Engineering 32 (3), 2018
132018
A combined mapreduce-windowing two-level parallel scheme for evolutionary prototype generation
I Triguero, D Peralta, J Bacardit, S García, F Herrera
2014 IEEE Congress on Evolutionary Computation (CEC), 3036-3043, 2014
92014
Randomized greedy multi-start algorithm for the minimum common integer partition problem
M Lozano, FJ Rodriguez, D Peralta, C García-Martínez
Engineering Applications of Artificial Intelligence 50, 226-235, 2016
62016
Scalable approximate FRNN-OWA classification
OU Lenz, D Peralta, C Cornelis
IEEE Transactions on Fuzzy Systems 28 (5), 929-938, 2020
52020
fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets
OU Lenz, D Peralta, C Cornelis
International Joint Conference on Rough Sets, 491-499, 2020
22020
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Articles 1–20