Isaac Triguero Velázquez


Researcher Profile

Total From 2017:
Citas Total: 4022 From 2017: 3239
Índice H Total: 30 From 2017: 28
Índice i10 Total: 51 From 2017: 48

Papers (117)

Title Authors Year
SPMS-ALS: A Single-Point Memetic structure with accelerated local search for instance reduction HL Le, F Neri, I Triguero. 2022
A fusion spatial attention approach for few-shot learning H Song, B Deng, M Pound, E Özcan, I Triguero. 2022
EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification HL Le, D Landa-Silva, M Galar, S Garcia, I Triguero. 2021
Beyond global and local multi-target learning M Basgalupp, R Cerri, L Schietgat, I Triguero, C Vens. 2021
Few-Shot Learning for Postnatal Gestational Age Estimation S Romanov, H Song, M Valstar, D Sharkey, C Henry, I Triguero, .... 2021
Current trends of granular data mining for biomedical data analysis W Ding, CT Lin, AWC Liew, I Triguero, W Luo. 2020
A Local Search with a Surrogate Assisted Option for Instance Reduction F Neri, I Triguero. 2020
Multigranulation Super-Trust Model for Attribute Reduction W Ding, W Pedrycz, I Triguero, Z Cao, CT Lin. 2020
Galaxy Image Classification Based on Citizen Science Data: A Comparative Study M Jiménez, MT Torres, R John, I Triguero. 2020
Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data J Maillo, I Triguero, F Herrera. 2020
General-Purpose Automated Machine Learning for Transportation: A Case Study of Auto-sklearn for Traffic Forecasting JS Angarita-Zapata, AD Masegosa, I Triguero. 2020
Neurocomputing Guest Editorial for the Special Issue: Advances in Deep and Shallow Machine Learning Approaches for Handling Data Irregularities S Das, S Garcia, I Triguero. 2020
Decomposition-Fusion for Label Distribution Learning M González, G González-Almagro, I Triguero, JR Cano, S García. 2020
A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification HL Le, D Landa-Silva, M Galar, S Garcia, I Triguero. 2020
Chi-BD-DRF: Design of Scalable Fuzzy Classifiers for Big Data via A Dynamic Rule Filtering Approach F Aghaeipoor, MM Javidi, I Triguero, A Fernández. 2020
Multigranulation supertrust model for attribute reduction W Ding, W Pedrycz, I Triguero, Z Cao, CT Lin. 2020
FUZZ-IEEE Competition on Explainable Energy Prediction I Triguero, JM Alonso, L Magdalena, C Wagner, J BernabÃl’-Moreno. 2020
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. 2019
Instance reduction for one-class classification B Krawczyk, I Triguero, S García, M Woźniak, F Herrera. 2019
Fast and Scalable Approaches to Accelerate the Fuzzy k Nearest Neighbors Classifier for Big Data J Maillo, I Triguero, J Luengo, FH S. García. 2019
Handling uncertainty in citizen science data: Towards an improved amateur-based large-scale classification M Jiménez, I Triguero, R John. 2019
Virtual porous materials to predict the air void topology and hydraulic conductivity of asphalt roads M Aboufoul, A Chiarelli, I Triguero, A Garcia. 2019
PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams R Tickle, I Triguero, GP Figueredo, M Mesgarpour, RI John. 2019
A Simulation-Based Optimisation Approach for Inventory Management of Highly Perishable Food N Xue, D Landa-Silva, GP Figueredo, I Triguero. 2019
Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study M Canizo, I Triguero, A Conde, E Onieva. 2019
Introduction to the Special Issue on Human-interaction-aware Data Analytics for Cyber-physical Systems T Wei, J Zhou, R Ranjan, I Triguero, H Yu, CJ Xue, S Dustdar. 2019
Evolving Deep CNN-LSTMs for Inventory Time Series Prediction N Xue, I Triguero, GP Figueredo, D Landa-Silva. 2019
Evaluating automated machine learning on supervised regression traffic forecasting problems JS Angarita-Zapata, AD Masegosa, I Triguero. 2019
A review on the self and dual interactions between machine learning and optimisation H Song, I Triguero, E Özcan. 2019
A Taxonomy of Traffic Forecasting Regression Problems from a Supervised Learning Perspective JS Angarita-Zapata, AD Masegosa, I Triguero. 2019
IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing W Ding, GG Yen, G Beliakov, I Triguero, M Pratama, X Zhang, H Li. 2019
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout H Song, MT Torres, E Özcan, I Triguero. 2019
Guest Editorial: Computational Intelligence for Big Data Analytics A Fernandez, I Triguero, M Galar, F Herrera. 2019
A Preliminary Approach for the Exploitation of Citizen Science Data for Fast and Robust Fuzzy k-Nearest Neighbour Classification M Jiménez, MT Torres, R John, I Triguero. 2019
Fuzzy Hot Spot Identification for Big Data: An Initial Approach R Tickle, I Triguero, GP Figueredo, M Mesgarpour, RI John. 2019
Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data J Maillo, S García, J Luengo, F Herrera, I Triguero. 2019
A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food. N Xue, D Landa-Silva, GP Figueredo, I Triguero. 2019
Conceptual Programming with Python T Altenkirch, I Triguero. 2019
ssc: An R Package for Semi-Supervised Classification M González, O Rosado, JD Rodríguez, C Bergmeir, I Triguero, JM Benítez. 2019
A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification J Maillo, J Luengo, S García, F Herrera, I Triguero. 2018
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. 2018
Self-labeling techniques for semi-supervised time series classification: an empirical study M González, C Bergmeir, I Triguero, Y Rodríguez, JM Benítez. 2018
A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark M Galar, I Triguero, H Bustince, F Herrera. 2018
Un enfoque aproximado para acelerar el algoritmo de clasificacion Fuzzy kNN para Big Data J Maillo, J Luengo, S Garcıa, F Herrera, I Triguero. 2018
Virtual Asphalt to Predict Roads’ Air Voids and Hydraulic Conductivity M Aboufoul, A Chiarelli, I Triguero, A Garcia. 2018
A genetic algorithm with composite chromosome for shift assignment of part-time employees N Xue, D Landa-Silva, I Triguero, GP Figueredo. 2018
A preliminary study on automatic algorithm selection for short-term traffic forecasting JS Angarita-Zapata, I Triguero, AD Masegosa. 2018
A first approach for handling uncertainty in citizen science M Jiménez. 2018
Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree W Ding, I Triguero, CT Lin. 2018
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, .... 2017
Exact fuzzy k-nearest neighbor classification for big datasets J Maillo, J Luengo, S García, F Herrera, I Triguero. 2017
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection D Peralta, I Triguero, S García, Y Saeys, JM Benitez, F Herrera. 2017
Robust classification of different fingerprint copies with deep neural networks for database penetration rate reduction D Peralta, I Triguero, S García, Y Saeys, JM Benitez, F Herrera. 2017
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data J Maillo, S Ramírez, I Triguero, F Herrera. 2017
A first attempt on global evolutionary undersampling for imbalanced big data I Triguero, M Galar, H Bustince, F Herrera. 2017
Vehicle incident hot spots identification: An approach for big data I Triguero, GP Figueredo, M Mesgarpour, JM Garibaldi, RI John. 2017
An immune-inspired technique to identify heavy goods vehicles incident hot spots GP Figueredo, I Triguero, M Mesgarpour, AM Guerra, JM Garibaldi, .... 2017
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. D Peralta, I Triguero, S García, Y Saeys, JM Benítez, F Herrera. 2017
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints D Peralta, I Triguero, S García, Y Saeys, JM Benítez, F Herrera. 2017
From big data to smart data with the k-nearest neighbours algorithm I Triguero, J Maillo, J Luengo, S García, F Herrera. 2016
Comparison of KEEL versus open source Data Mining tools: Knime and Weka software I Triguero, S González, JM Moyano, S García, J Alcala-Fdez, J Luengo, .... 2016
On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems M González, C Bergmeir, I Triguero, Y Rodríguez, JM Benítez. 2016
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases D Peralta, I Triguero, S García, F Herrera, JM Benitez. 2016
Evolutionary undersampling for extremely imbalanced big data classification under apache spark I Triguero, M Galar, D Merino, J Maillo, H Bustince, F Herrera. 2016
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data S Vluymans, I Triguero, C Cornelis, Y Saeys. 2016
Labelling strategies for hierarchical multi-label classification techniques I Triguero, C Vens. 2016
and Herrera, Francisco (2016) kNN-IS: an iterative spark-based design of the k-nearest neighbors classifier for big data. Knowledge-Based Systems. ISSN 1872 J Maillo, S Ramirez, I Triguero. 2016
Partitioning the target space in multi-output learning I Triguero, M Basgalupp, R Cerri, L Schietgat, C Vens. 2016
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, .... 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. 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. 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, .... 2015
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal M Galar, J Derrac, D Peralta, I Triguero, D Paternain, C Lopez-Molina, .... 2015
Supplementary material for “DPD-DFF: A Dual Phase Distributed Scheme with Double Fingerprint Fusion for Fast and Accurate Identification in Large Databases” D Peralta, I Triguero, S García, F Herrera, JM Benitez. 2015
Research Article Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach D Peralta, S del Río, S Ramírez-Gallego, I Triguero, JM Benitez, F Herrera. 2015
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study I Triguero, S García, F Herrera. 2015
MRPR: A MapReduce solution for prototype reduction in big data classification I Triguero, D Peralta, J Bacardit, S García, F Herrera. 2015
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification I Triguero, S García, F Herrera. 2015
A mapreduce-based k-nearest neighbor approach for big data classification J Maillo, I Triguero, F Herrera. 2015
Evolutionary undersampling for imbalanced big data classification I Triguero, M Galar, S Vluymans, C Cornelis, H Bustince, F Herrera, .... 2015
Un enfoque MapReduce del algoritmo k-vecinos más cercanos para Big Data J Maillo, I Triguero, F Herrera. 2015
Representational power of gene features for function prediction K Pliakos, I Triguero, D Kocev, C Vens. 2015
A survey on fingerprint minutiae-based local matching for D Peralta, M Galar, I Triguero, D Paternain, S García, E Barrenechea, .... 2015
Addressing imbalanced classification with instance generation techniques: IPADE-ID V López, I Triguero, CJ Carmona, S García, F Herrera. 2014
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. 2014
Fast fingerprint identification for large databases D Peralta, I Triguero, R Sanchez-Reillo, F Herrera, JM Benítez. 2014
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms D Peralta, M Galar, I Triguero, O Miguel-Hurtado, JM Benitez, F Herrera. 2014
A combined mapreduce-windowing two-level parallel scheme for evolutionary prototype generation I Triguero, D Peralta, J Bacardit, S García, F Herrera. 2014
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification B Krawczyk, I Triguero, S García, M Woźniak, F Herrera. 2014
Improving Disease Prediction using Unlabeled and Synthetic Samples I Triguero, S García, F Herrera, Y Saeys. 2014
Multi-objective evolutionary algorithms for the design of grid-connected solar tracking systems D Gómez-Lorente, I Triguero, C Gil, O Rabaza. 2014
Posiciones de las universidades españolas y de las comunidades autónomas en los Rankings I-UGR según campos y disciplinas científicas D Torres-Salinas, E Delgado López-Cózar, N Robinson-García, I Triguero, .... 2013
Evolutionary-based selection of generalized instances for imbalanced classification S Garcı, I Triguero, CJ Carmona, F Herrera. 2012
Time series modeling and forecasting using memetic algorithms for regime-switching models C Bergmeir, I Triguero, D Molina, JL Aznarte, JM Benitez. 2012
Optimization of neuro-coefficient smooth transition autoregressive models using differential evolution C Bergmeir, I Triguero, F Velasco, JM Benítez. 2012
A taxonomy and experimental study on prototype generation for nearest neighbor classification I Triguero, J Derrac, S Garcia, F Herrera. 2012
Integrating instance selection, instance weighting, and feature weighting for nearest neighbor classifiers by coevolutionary algorithms J Derrac, I Triguero, S García, F Herrera. 2012
Integrating a differential evolution feature weighting scheme into prototype generation I Triguero, JN Derrac, S GarcíA, F Herrera. 2012
A co-evolutionary framework for nearest neighbor enhancement: Combining instance and feature weighting with instance selection J Derrac, I Triguero, S García, F Herrera. 2012
Algoritmos Basados en Nubes de Partıculas y Evolución Diferencial para el Problema de Optimización Continua: Un estudio experimental PD Gutiérrez, I Triguero, F Herrera. 2012
Evolutionary algorithms for the design of grid-connected PV-systems D Gómez-Lorente, I Triguero, C Gil, AE Estrella. 2012
Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification I Triguero, S García, F Herrera. 2011
A study of the scaling up capabilities of stratified prototype generation I Triguero, J Derrac, F Herrera, S García. 2011
Enhancing IPADE algorithm with a different individual codification I Triguero, S García, F Herrera. 2011
Prototype Generation for Nearest Neighbor Classification: Survey of Methods I Triguero, J Derrac, S Garcıa, F Herrera. 2011
Survey of New Approaches on Prototype Selection and Generation J Derrac, I Triguero, S Garcıa, F Herrera. 2011
A preliminary study on the selection of generalized instances for imbalanced classification S García, J Derrac, I Triguero, C Carmona, F Herrera. 2010
IPADE: Iterative prototype adjustment for nearest neighbor classification I Triguero, S García, F Herrera. 2010
A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification I Triguero, S García, F Herrera. 2010

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