Isaac Triguero Velázquez

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Francisco HerreraProfessor Computer Science and AI, 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
Joaquin Derrac RusData ScientistVerified email at gresearch.co.uk
Mikel GalarAssociate Professor of Computer Science and Artificial Intelligence, Universidad Pública de NavarraVerified email at unavarra.es
Jesús Maillo HidalgoPh.D. Department of Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Humberto BustinceProfessor of Computer Science, Universidad Publica de NavarraVerified email at unavarra.es
Julián Luengo MartínAssociate Professor at University of GranadaVerified email at decsai.ugr.es
Yvan SaeysVIB - Ghent UniversityVerified email at ugent.be
Jaume BacarditReader in Machine Learning, Newcastle UniversityVerified email at newcastle.ac.uk
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 CarmonaAssociate Professor at University of JaenVerified email at ujaen.es
Christoph BergmeirMonash UniversityVerified email at monash.edu
Sergio Ramírez-GallegoPhD. Student Computer Science, University of GranadaVerified email at decsai.ugr.es
Celine Vensassociate professor, Katholieke Universiteit LeuvenVerified email at kuleuven.be
Sarah VluymansUniversiteit GentVerified email at ugent.be
Chris CornelisResearcher of Computer Science, Ghent UniversityVerified email at ugent.be
José A. SáezDept. of Statistics and Operational Research, University of GranadaVerified email at ugr.es

Isaac Triguero Velázquez

Associate Professor in Data Science, School of Computer Science, University of Nottingham

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	451	2015
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	304	2011
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	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	242	2015
KEEL 3.0: an open source software for multi-stage analysis in data mining I Triguero, S González, JM Moyano, S García López, J Alcalá Fernández, ... Atlantis Press, 2017	194	2017
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	161	2015
Evolutionary feature selection for big data classification: A mapreduce approach D Peralta, S del Río, S Ramírez-Gallego, I Triguero, JM Benitez, F Herrera Mathematical Problems in Engineering 2015, 2015	157	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	152	2015
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	149	2019
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	149	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	138	2011
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	90	2015
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	88	2018
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	88	2014
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	82	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	80	2019
Fast fingerprint identification for large databases D Peralta, I Triguero, R Sanchez-Reillo, F Herrera, JM Benítez Pattern Recognition 47 (2), 588-602, 2014	78	2014
Integrating instance selection, instance weighting, and feature weighting for nearest neighbor classifiers by coevolutionary algorithms J Derrac, I Triguero, S García, F Herrera IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2012	70	2012
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	67	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	65	2016

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