Daniel Peralta

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Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainVerified email at decsai.ugr.es
Jose M. BenitezFull Professor, Universidad de GranadaVerified email at decsai.ugr.es
Isaac Triguero VelázquezDistinguished Senior Research Fellow at University of Granada, Associate Professor in Data ScienceVerified email at nottingham.ac.uk
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.Verified email at decsai.ugr.es
Yvan SaeysVIB - Ghent UniversityVerified email at ugent.be
Mikel GalarAssociate Professor of Computer Science and Artificial Intelligence, Universidad Pública de NavarraVerified email at unavarra.es
Chris CornelisAssociate professor, Ghent UniversityVerified email at ugent.be
Oliver Urs LenzPostdoc, Ghent UniversityVerified email at ugent.be
Jaume BacarditProfessor of Artificial Intelligence, Newcastle UniversityVerified email at newcastle.ac.uk
Joaquin Derrac RusData ScientistVerified email at gresearch.co.uk
Eli De PoorterGhent University - imecVerified email at ugent.be
Maxim LippeveldGhent UniversityVerified email at ugent.be
Alberto Fernández HilarioFull Professor of Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Sara del Río GarcíaSystems engineer, RHEA Group for European Space AgencyVerified email at sciops.esa.int
Sergio Ramírez-GallegoPhD. ML and Computer ScienceVerified email at thalesaleniaspace.com
Siham TabikProfessor, Dpt. Computer Science and Artificial Intelligence, University of GranadaVerified email at ugr.es
Adnan Shahid, PhD, SMIEEEIDLab, Department of Information Technology, imec - Ghent University, BelgiumVerified email at ugent.be
Christoph BergmeirUniversity of GranadaVerified email at monash.edu

Daniel Peralta

Assistant Professor, Dept. of Computer Science and Artificial Intelligence, University of Granada

Verified email at ugr.es

Data Mining Biometrics Big Data Deep Learning Bioinformatics


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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	281	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	204	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	180	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	156	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	115	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	110	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	101	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	97	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	90	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	77	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	61	2015
Scalable approximate FRNN-OWA classification OU Lenz, D Peralta, C Cornelis IEEE Transactions on Fuzzy Systems 28 (5), 929-938, 2020	56	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	49	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	38	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	33	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	31	2016
Robust unsupervised dimensionality reduction based on feature clustering for single-cell imaging data D Peralta, Y Saeys Applied Soft Computing 93, 106421, 2020	26	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	19	2021

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