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 | 279 | 2015 |
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 | 200 | 2015 |
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 (1), 246139, 2015 | 177 | 2015 |
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 | 155 | 2012 |
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 | 109 | 2018 |
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 | 100 | 2020 |
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 | 98 | 2017 |
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 | 94 | 2015 |
Fast fingerprint identification for large databases D Peralta, I Triguero, R Sanchez-Reillo, F Herrera, JM Benítez Pattern Recognition 47 (2), 588-602, 2014 | 87 | 2014 |
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 | 76 | 2014 |
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 | 60 | 2015 |
Scalable approximate FRNN-OWA classification OU Lenz, D Peralta, C Cornelis IEEE Transactions on Fuzzy Systems 28 (5), 929-938, 2020 | 50 | 2020 |
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 | 48 | 2014 |
Minutiae-based fingerprint matching decomposition: methodology for big data frameworks D Peralta, S García, JM Benitez, F Herrera Information Sciences 408, 198-212, 2017 | 40 | 2017 |
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 | 37 | 2017 |
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 | 30 | 2018 |
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 | 29 | 2016 |
Robust unsupervised dimensionality reduction based on feature clustering for single-cell imaging data D Peralta, Y Saeys Applied Soft Computing 93, 106421, 2020 | 23 | 2020 |
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 | 21 | 2020 |
Average Localised Proximity: A new data descriptor with good default one-class classification performance OU Lenz, D Peralta, C Cornelis Pattern Recognition 118, 107991, 2021 | 14 | 2021 |