Isaac Triguero Velázquez

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Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, 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 PeraltaAssistant Professor, Dept. of Computer Science and Artificial Intelligence, University of GranadaDirección de correo verificada de ugr.es
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
Christoph BergmeirUniversity of GranadaDirección de correo verificada de monash.edu
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. CarmonaFull Professor at University of JaenDirección de correo verificada de ujaen.es
Celine Vensprofessor, Katholieke Universiteit LeuvenDirección de correo verificada de kuleuven.be
Sarah VluymansUniversiteit GentDirección de correo verificada de ugent.be
Chris CornelisAssociate professor, 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	692	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	388	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	373	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	338	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	291	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	246	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	202	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	111	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	109	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	100	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	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
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	81	2016

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