Isaac Triguero Velázquez

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Francisco HerreraProfessor Computer Science and AI, Granada University, SpainDirección de correo verificada de decsai.ugr.es
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.Dirección de correo verificada de decsai.ugr.es
Jose M. BenitezFull Professor, Universidad de GranadaDirección de correo verificada de decsai.ugr.es
Daniel PeraltaPostdoctoral researcher - Doctor Assistant, Department of Information Technology. Ghent UniversityDirección de correo verificada de ugent.be
Jesús Maillo HidalgoPh.D. Department of Computer Science and Artificial Intelligence, University of GranadaDirección de correo verificada de decsai.ugr.es
Mikel GalarAssociate Professor of Computer Science and Artificial Intelligence, Universidad Pública de NavarraDirección de correo verificada de unavarra.es
Joaquin Derrac RusData ScientistDirección de correo verificada de gresearch.co.uk
Julián Luengo MartínAssociate Professor at University of GranadaDirección de correo verificada de decsai.ugr.es
Humberto BustinceProfessor of Computer Science, Universidad Publica de NavarraDirección de correo verificada de unavarra.es
Sergio Ramírez-GallegoPhD. ML and Computer ScienceDirección de correo verificada de thalesaleniaspace.com
Yvan SaeysVIB - Ghent UniversityDirección de correo verificada de ugent.be
Jaume BacarditProfessor of Artificial Intelligence, Newcastle UniversityDirección de correo verificada de newcastle.ac.uk
Sara del Río GarcíaSystems engineer, RHEA Group for European Space AgencyDirección de correo verificada de sciops.esa.int
Victoria Lopez MoralesResearch Associate, Imperial College LondonDirección de correo verificada de imperial.ac.uk
Cristóbal J CarmonaAssociate Professor at University of JaenDirección de correo verificada de ujaen.es
Christoph BergmeirUniversity of GranadaDirección de correo verificada de monash.edu
Celine Vensassociate professor, Katholieke Universiteit LeuvenDirección de correo verificada de kuleuven.be
Sarah VluymansUniversiteit GentDirección de correo verificada de ugent.be
Chris CornelisResearcher of Computer Science, Ghent UniversityDirección de correo verificada de ugent.be
José A. SáezDept. of Statistics and Operations Research, University of GranadaDirección de correo verificada de ugr.es

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Isaac Triguero Velázquez

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

Dirección de correo verificada de nottingham.ac.uk - Página principal

Data Mining Data reduction Semi-supervised Learning Big Data Bioinformatics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	582	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	351	2017
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	331	2011
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	264	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	246	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	241	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	180	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	174	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, 1-11, 2015	170	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	160	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	148	2011
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	144	2019
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	102	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	99	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	99	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	89	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	82	2014
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	75	2016
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	74	2015
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	72	2012

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