Isaac Triguero Velázquez

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	6080	3699
h-index	36	28
i10-index	65	57

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Társszerzők

Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainE-mail megerősítve itt: decsai.ugr.es
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.E-mail megerősítve itt: decsai.ugr.es
Jose M. BenitezFull Professor, Universidad de GranadaE-mail megerősítve itt: decsai.ugr.es
Daniel PeraltaAssistant Professor, Dept. of Computer Science and Artificial Intelligence, University of GranadaE-mail megerősítve itt: ugr.es
Jesús Maillo HidalgoPh.D. Department of Computer Science and Artificial Intelligence, University of GranadaE-mail megerősítve itt: decsai.ugr.es
Mikel GalarFull Professor of Computer Science and Artificial Intelligence, Universidad Pública de NavarraE-mail megerősítve itt: unavarra.es
Joaquin Derrac RusData ScientistE-mail megerősítve itt: gresearch.co.uk
Julián Luengo MartínAssociate Professor at University of GranadaE-mail megerősítve itt: decsai.ugr.es
Humberto BustinceProfessor of Computer Science, Universidad Publica de NavarraE-mail megerősítve itt: unavarra.es
Sergio Ramírez-GallegoPhD. ML and Computer ScienceE-mail megerősítve itt: thalesaleniaspace.com
Yvan SaeysVIB - Ghent UniversityE-mail megerősítve itt: ugent.be
Jaume BacarditProfessor of Artificial Intelligence, Newcastle UniversityE-mail megerősítve itt: newcastle.ac.uk
Christoph BergmeirUniversity of GranadaE-mail megerősítve itt: monash.edu
Sara del Río GarcíaSystems engineer, RHEA Group for European Space AgencyE-mail megerősítve itt: sciops.esa.int
Victoria Lopez MoralesResearch Associate, Imperial College LondonE-mail megerősítve itt: imperial.ac.uk
Cristóbal J. CarmonaFull Professor at University of JaenE-mail megerősítve itt: ujaen.es
Celine Vensprofessor, Katholieke Universiteit LeuvenE-mail megerősítve itt: kuleuven.be
Sarah VluymansUniversiteit GentE-mail megerősítve itt: ugent.be
Chris CornelisAssociate professor, Ghent UniversityE-mail megerősítve itt: ugent.be
José A. SáezDept. of Statistics and Operations Research, University of GranadaE-mail megerősítve itt: ugr.es

Követés

Isaac Triguero Velázquez

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

E-mail megerősítve itt: ugr.es - Kezdőlap

Data Mining Data reduction Semi-supervised Learning Big Data Bioinformatics


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
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	721	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	399	2019
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	399	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	332	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	294	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	278	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	261	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	203	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	189	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	183	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	170	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 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	113	2018
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	111	2019
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
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	109	2015
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	94	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	83	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	82	2015

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