Isaac Triguero Velázquez

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Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainVerified email at decsai.ugr.es
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.Verified email at decsai.ugr.es
Jose M. BenitezFull Professor, Universidad de GranadaVerified email at decsai.ugr.es
Daniel PeraltaPostdoctoral researcher - Doctor Assistant, Department of Information Technology. Ghent UniversityVerified email at ugent.be
Jesús Maillo HidalgoPh.D. Department of Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Mikel GalarAssociate Professor of Computer Science and Artificial Intelligence, Universidad Pública de NavarraVerified email at unavarra.es
Joaquin Derrac RusData ScientistVerified email at gresearch.co.uk
Julián Luengo MartínAssociate Professor at University of GranadaVerified email at decsai.ugr.es
Humberto BustinceProfessor of Computer Science, Universidad Publica de NavarraVerified email at unavarra.es
Sergio Ramírez-GallegoPhD. ML and Computer ScienceVerified email at thalesaleniaspace.com
Yvan SaeysVIB - Ghent UniversityVerified email at ugent.be
Jaume BacarditProfessor of Artificial Intelligence, Newcastle UniversityVerified email at newcastle.ac.uk
Christoph BergmeirUniversity of GranadaVerified email at monash.edu
Sara del Río GarcíaSystems engineer, RHEA Group for European Space AgencyVerified email at sciops.esa.int
Victoria Lopez MoralesResearch Associate, Imperial College LondonVerified email at imperial.ac.uk
Cristóbal J CarmonaFull Professor at University of JaenVerified email at ujaen.es
Celine Vensprofessor, Katholieke Universiteit LeuvenVerified email at kuleuven.be
Sarah VluymansUniversiteit GentVerified email at ugent.be
Chris CornelisAssociate professor, Ghent UniversityVerified email at ugent.be
José A. SáezDept. of Statistics and Operations Research, University of GranadaVerified email at ugr.es

Isaac Triguero Velázquez

Distinguished Senior Research Fellow at University of Granada, Associate Professor in Data Science

Verified email at nottingham.ac.uk - Homepage

Data Mining Data reduction Semi-supervised Learning Big Data Bioinformatics


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Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study I Triguero, S García, F Herrera Knowledge and Information Systems 42, 245-284, 2015	682	2015
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data J Maillo, S Ramírez, I Triguero, F Herrera Knowledge-Based Systems 117, 3-15, 2017	385	2017
Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study M Canizo, I Triguero, A Conde, E Onieva Neurocomputing 363, 246-260, 2019	359	2019
A taxonomy and experimental study on prototype generation for nearest neighbor classification I Triguero, J Derrac, S Garcia, F Herrera IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2011	336	2011
KEEL 3.0: an open source software for multi-stage analysis in data mining I Triguero, S González, JM Moyano, S García, J Alcalá-Fdez, J Luengo, ... International Journal of Computational Intelligence Systems 10 (1), 1238-1249, 2017	287	2017
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
Transforming big data into smart data: An insight on the use of the k‐nearest neighbors algorithm to obtain quality data I Triguero, D García‐Gil, J Maillo, J Luengo, S García, F Herrera Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (2 …, 2019	238	2019
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	201	2015
ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem I Triguero, S Del Río, V López, J Bacardit, JM Benítez, F Herrera Knowledge-Based Systems 87, 69-79, 2015	190	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
Evolutionary-based selection of generalized instances for imbalanced classification S Garcı, I Triguero, CJ Carmona, F Herrera Knowledge-Based Systems 25 (1), 3-12, 2012	171	2012
Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification I Triguero, S García, F Herrera Pattern recognition 44 (4), 901-916, 2011	155	2011
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification I Triguero, JA Sáez, J Luengo, S García, F Herrera Neurocomputing 132, 30-41, 2014	109	2014
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	107	2018
A mapreduce-based k-nearest neighbor approach for big data classification J Maillo, I Triguero, F Herrera 2015 IEEE Trustcom/BigDataSE/ISPA 2, 167-172, 2015	106	2015
A review on the self and dual interactions between machine learning and optimisation H Song, I Triguero, E Özcan Progress in Artificial Intelligence 8 (2), 143-165, 2019	96	2019
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	95	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	89	2014
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification I Triguero, S García IEEE Transactions on Cybernetics 45 (4), 622-634, 2015	83	2015
Evolutionary undersampling for extremely imbalanced big data classification under apache spark I Triguero, M Galar, D Merino, J Maillo, H Bustince, F Herrera 2016 IEEE congress on evolutionary computation (CEC), 640-647, 2016	80	2016

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