Isaac Triguero Velázquez
Isaac Triguero Velázquez
Distinguished Senior Research Fellow at University of Granada, Associate Professor in Data Science
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Fast fingerprint identification for large databases
D Peralta, I Triguero, R Sanchez-Reillo, F Herrera, JM Benítez
Pattern Recognition 47 (2), 588-602, 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
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
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