Isaac Triguero

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 68

Top Topics

Nearest Neighbor

Top Venues

Publications

Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. CoRR (2024)
Isaac Triguero, Daniel Molina, Javier Poyatos, Javier Del Ser, Francisco Herrera
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance. Inf. Fusion 103 (2024)
Timothy Cargan, Dario Landa-Silva, Isaac Triguero
Local-global methods for generalised solar irradiance forecasting. Appl. Intell. 54 (2) (2024)
Han Meng, Christian Wagner, Isaac Triguero
SEGAL time series classification - Stable explanations using a generative model and an adaptive weighting method for LIME. Neural Networks 176 (2024)
Ryan Dave, Juan S. Angarita-Zapata, Isaac Triguero
Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data. CD-MAKE (2023)
Han Meng, Christian Wagner, Isaac Triguero
Explaining time series classifiers through meaningful perturbation and optimisation. Inf. Sci. 645 (2023)
Han Meng, Christian Wagner, Isaac Triguero
An Initial Step Towards Stable Explanations for Multivariate Time Series Classifiers with LIME. FUZZ (2023)
Isaac Triguero, Daniel Molina, Javier Poyatos, Javier Del Ser, Francisco Herrera
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications. CoRR (2023)
Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting. CoRR (2023)
Timothy Cargan, Dario Landa-Silva, Isaac Triguero
Forecasting Solar Irradiance without Direct Observation: An Empirical Analysis. CoRR (2023)
Direnc Pekaslan, Jose Maria Alonso-Moral, Kasun Bandara, Christoph Bergmeir, Juan Bernabé-Moreno, Robert Eigenmann, Nils Einecke, Selvi Ergen, Rakshitha Godahewa, Hansika Hewamalage, Jesus Lago, Steffen Limmer, Sven Rebhan, Boris Rabinovich, Dilini Rajapaksha, Heda Song, Christian Wagner, Wenlong Wu, Luis Magdalena, Isaac Triguero
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. CoRR (2023)
Kyle D. S. Maclean, Isaac Triguero
Identifying bird species by their calls in Soundscapes. Appl. Intell. 53 (19) (2023)
Heda Song, Bowen Deng, Michael P. Pound, Ender Özcan, Isaac Triguero
A fusion spatial attention approach for few-shot learning. Inf. Fusion 81 (2022)
Hoang Lam Le, Ferrante Neri, Dario Landa-Silva, Isaac Triguero
Accelerated pattern search with variable solution size for simultaneous instance selection and generation. GECCO Companion (2022)
Han Meng, Christian Wagner, Isaac Triguero
Feature Importance Identification for Time Series Classifiers. SMC (2022)
Hoang Lam Le, Ferrante Neri, Isaac Triguero
SPMS-ALS: A Single-Point Memetic structure with accelerated local search for instance reduction. Swarm Evol. Comput. 69 (2022)
Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. CoRR (2022)
Stepan Romanov, Heda Song, Michel F. Valstar, Don Sharkey, Caz Henry, Isaac Triguero, Mercedes Torres Torres
Few-Shot Learning for Postnatal Gestational Age Estimation. IJCNN (2021)
Manuel González, Germán González-Almagro, Isaac Triguero, José Ramón Cano, Salvador García
Decomposition-Fusion for Label Distribution Learning. Inf. Fusion 66 (2021)
Swagatam Das, Salvador García, Isaac Triguero
Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities. Neurocomputing 419 (2021)
Heda Song, Mercedes Torres Torres, Ender Özcan, Isaac Triguero
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout. Neurocomputing 442 (2021)
Weiping Ding, Isaac Triguero, Chin-Teng Lin
Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree. IEEE Trans. Emerg. Top. Comput. Intell. 5 (1) (2021)
Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador García, Isaac Triguero
EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification. Appl. Soft Comput. 101 (2021)
Márcio P. Basgalupp, Ricardo Cerri, Leander Schietgat, Isaac Triguero, Celine Vens
Beyond global and local multi-target learning. Inf. Sci. 579 (2021)
Weiping Ding, Witold Pedrycz, Isaac Triguero, Zehong Cao, Chin-Teng Lin
Multigranulation Supertrust Model for Attribute Reduction. IEEE Trans. Fuzzy Syst. 29 (6) (2021)
Weiping Ding, Chin-Teng Lin, Alan Wee-Chung Liew, Isaac Triguero, Wenjian Luo
Current trends of granular data mining for biomedical data analysis. Inf. Sci. 510 (2020)
Ferrante Neri, Isaac Triguero
A Local Search with a Surrogate Assisted Option for Instance Reduction. EvoApplications (2020)
Fatemeh Aghaeipoor, Mohammad Masoud Javidi, Isaac Triguero, Alberto Fernández
Chi-BD-DRF: Design of Scalable Fuzzy Classifiers for Big Data via A Dynamic Rule Filtering Approach. FUZZ-IEEE (2020)
Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
General-Purpose Automated Machine Learning for Transportation: A Case Study of Auto-sklearn for Traffic Forecasting. IPMU (2) (2020)
Jesús Maillo, Salvador García, Julián Luengo, Francisco Herrera, Isaac Triguero
Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data. IEEE Trans. Fuzzy Syst. 28 (5) (2020)
Manuel Jiménez, Mercedes Torres Torres, Robert I. John, Isaac Triguero
Galaxy Image Classification Based on Citizen Science Data: A Comparative Study. IEEE Access 8 (2020)
Jesús Maillo, Isaac Triguero, Francisco Herrera
Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data. IEEE Access 8 (2020)
Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador García, Isaac Triguero
A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification. CEC (2020)
Weiping Ding, Gary G. Yen, Gleb Beliakov, Isaac Triguero, Mahardhika Pratama, Xiangliang Zhang, Hongjun Li
IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing. IEEE Access 7 (2019)
Ning Xue, Dario Landa-Silva, Grazziela P. Figueredo, Isaac Triguero
A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food. ICORES (2019)
Heda Song, Isaac Triguero, Ender Özcan
A review on the self and dual interactions between machine learning and optimisation. Prog. Artif. Intell. 8 (2) (2019)
Rebecca Tickle, Isaac Triguero, Grazziela P. Figueredo, Mohammad Mesgarpour, Robert I. John
PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams. Cogn. Comput. 11 (3) (2019)
Rebecca Tickle, Isaac Triguero, Grazziela P. Figueredo, Ender Özcan, Mohammad Mesgarpour, Robert I. John
Fuzzy Hot Spot Identification for Big Data: An Initial Approach. FUZZ-IEEE (2019)
Ning Xue, Isaac Triguero, Grazziela P. Figueredo, Dario Landa-Silva
Evolving Deep CNN-LSTMs for Inventory Time Series Prediction. CEC (2019)
Isaac Triguero, Diego García-Gil, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera
Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data. WIREs Data Mining Knowl. Discov. 9 (2) (2019)
Manuel Jiménez, Mercedes Torres Torres, Robert I. John, Isaac Triguero
A Preliminary Approach for the Exploitation of Citizen Science Data for Fast and Robust Fuzzy k-Nearest Neighbour Classification. FUZZ-IEEE (2019)
Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera
Instance reduction for one-class classification. Knowl. Inf. Syst. 59 (3) (2019)
Heda Song, Mercedes Torres Torres, Ender Özcan, Isaac Triguero
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout. CoRR (2019)
Tongquan Wei, Junlong Zhou, Rajiv Ranjan, Isaac Triguero, Huafeng Yu, Chun Jason Xue, Schahram Dustdar
Introduction to the Special Issue on Human-interaction-aware Data Analytics for Cyber-physical Systems. ACM Trans. Cyber Phys. Syst. 3 (4) (2019)
Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective. IEEE Access 7 (2019)
Manuel Jiménez, Isaac Triguero, Robert I. John
Handling uncertainty in citizen science data: Towards an improved amateur-based large-scale classification. Inf. Sci. 479 (2019)
Alberto Fernández, Isaac Triguero, Mikel Galar, Francisco Herrera
Guest Editorial: Computational Intelligence for Big Data Analytics. Cogn. Comput. 11 (3) (2019)
Mikel Canizo, Isaac Triguero, Angel Conde, Enrique Onieva
Multi-head CNN-RNN for multi-time series anomaly detection: An industrial case study. Neurocomputing 363 (2019)
Mikel Galar, Isaac Triguero, Humberto Bustince, Francisco Herrera
A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark. CEC (2018)
Ning Xue, Dario Landa-Silva, Isaac Triguero, Grazziela P. Figueredo
A Genetic Algorithm With Composite Chromosome for Shift Assignment of Part-time Employees. CEC (2018)
Juan S. Angarita-Zapata, Isaac Triguero, Antonio D. Masegosa
A Preliminary Study on Automatic Algorithm Selection for Short-Term Traffic Forecasting. IDC (2018)
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
On the use of convolutional neural networks for robust classification of multiple fingerprint captures. Int. J. Intell. Syst. 33 (1) (2018)
Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera, Isaac Triguero
A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification. FUZZ-IEEE (2018)
Mabel González Castellanos, Christoph Bergmeir, Isaac Triguero, Yanet Rodríguez, José Manuel Benítez
Self-labeling techniques for semi-supervised time series classification: an empirical study. Knowl. Inf. Syst. 55 (2) (2018)
Isaac Triguero, Mikel Galar, Humberto Bustince, Francisco Herrera
A first attempt on global evolutionary undersampling for imbalanced big data. CEC (2017)
Isaac Triguero, Grazziela P. Figueredo, Mohammad Mesgarpour, Jonathan M. Garibaldi, Robert I. John
Vehicle Incident Hot Spots Identification: An Approach for Big Data. TrustCom/BigDataSE/ICESS (2017)
Jesús Maillo, Sergio Ramírez-Gallego, Isaac Triguero, Francisco Herrera
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data. Knowl. Based Syst. 117 (2017)
Isaac Triguero, Sergio González, Jose M. Moyano, Salvador García, Jesús Alcalá-Fdez, Julián Luengo, Alberto Fernández, María José del Jesus, Luciano Sánchez, Francisco Herrera
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. Int. J. Comput. Intell. Syst. 10 (1) (2017)
Grazziela P. Figueredo, Isaac Triguero, Mohammad Mesgarpour, Alexandre M. Guerra, Jonathan M. Garibaldi, Robert I. John
An Immune-Inspired Technique to Identify Heavy Goods Vehicles Incident Hot Spots. IEEE Trans. Emerg. Top. Comput. Intell. 1 (4) (2017)
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. Knowl. Based Syst. 126 (2017)
Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera, Isaac Triguero
Exact fuzzy k-nearest neighbor classification for big datasets. FUZZ-IEEE (2017)
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. CoRR (2017)
Daniel Peralta, Isaac Triguero, Salvador García, Francisco Herrera, José Manuel Benítez
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. Inf. Fusion 32 (2016)
Mabel González Castellanos, Christoph Bergmeir, Isaac Triguero, Yanet Rodríguez, José Manuel Benítez
On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems. Inf. Sci. 328 (2016)
Sarah Vluymans, Isaac Triguero, Chris Cornelis, Yvan Saeys
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data. Neurocomputing 216 (2016)
Isaac Triguero, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera
From Big Data to Smart Data with the K-Nearest Neighbours Algorithm. iThings/GreenCom/CPSCom/SmartData (2016)
Isaac Triguero, Mikel Galar, D. Merino, Jesús Maillo, Humberto Bustince, Francisco Herrera
Evolutionary undersampling for extremely imbalanced big data classification under apache spark. CEC (2016)
Isaac Triguero, Celine Vens
Labelling strategies for hierarchical multi-label classification techniques. Pattern Recognit. 56 (2016)
Jesús Maillo, Isaac Triguero, Francisco Herrera
A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification. TrustCom/BigDataSE/ISPA (2) (2015)
Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys
Evolutionary undersampling for imbalanced big data classification. CEC (2015)
Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal. Knowl. Based Syst. 81 (2015)
Isaac Triguero, Salvador García, Francisco Herrera
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification. IEEE Trans. Cybern. 45 (4) (2015)
Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera
MRPR: A MapReduce solution for prototype reduction in big data classification. Neurocomputing 150 (2015)
Isaac Triguero, Salvador García, Francisco Herrera
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study. Knowl. Inf. Syst. 42 (2) (2015)
Isaac Triguero, Sara del Río, Victoria López, Jaume Bacardit, José Manuel Benítez, Francisco Herrera
ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem. Knowl. Based Syst. 87 (2015)
Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models. Knowl. Based Syst. 81 (2015)
Daniel Peralta, Mikel Galar, Isaac Triguero, Daniel Paternain, Salvador García, Edurne Barrenechea, José Manuel Benítez, Humberto Bustince, Francisco Herrera
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation. Inf. Sci. 315 (2015)
Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation. IEEE Congress on Evolutionary Computation (2014)
Daniel Peralta, Isaac Triguero, Raul Sánchez-Reillo, Francisco Herrera, José Manuel Benítez
Fast fingerprint identification for large databases. Pattern Recognit. 47 (2) (2014)
Daniel Peralta, Mikel Galar, Isaac Triguero, Oscar Miguel-Hurtado, José Manuel Benítez, Francisco Herrera
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms. Eng. Appl. Artif. Intell. 32 (2014)
Isaac Triguero, José A. Sáez, Julián Luengo, Salvador García, Francisco Herrera
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification. Neurocomputing 132 (2014)
Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification. IEEE Congress on Evolutionary Computation (2014)
Victoria López, Isaac Triguero, Cristóbal J. Carmona, Salvador García, Francisco Herrera
Addressing imbalanced classification with instance generation techniques: IPADE-ID. Neurocomputing 126 (2014)
Daniel Gómez-Lorente, Isaac Triguero, Consolación Gil, A. Espín Estrella
Evolutionary algorithms for the design of grid-connected PV-systems. Expert Syst. Appl. 39 (9) (2012)
Isaac Triguero, Joaquín Derrac, Salvador García, Francisco Herrera
Integrating a differential evolution feature weighting scheme into prototype generation. Neurocomputing 97 (2012)
Christoph Bergmeir, Isaac Triguero, Daniel Molina, José Luis Aznarte, José Manuel Benítez
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models. IEEE Trans. Neural Networks Learn. Syst. 23 (11) (2012)
Joaquín Derrac, Isaac Triguero, Salvador García, Francisco Herrera
A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection. HAIS (2) (2012)
Isaac Triguero, Joaquín Derrac, Salvador García, Francisco Herrera
A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification. IEEE Trans. Syst. Man Cybern. Part C 42 (1) (2012)
Salvador García, Joaquín Derrac, Isaac Triguero, Cristóbal J. Carmona, Francisco Herrera
Evolutionary-based selection of generalized instances for imbalanced classification. Knowl. Based Syst. 25 (1) (2012)
Joaquín Derrac, Isaac Triguero, Salvador García, Francisco Herrera
Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms. IEEE Trans. Syst. Man Cybern. Part B 42 (5) (2012)
Christoph Bergmeir, Isaac Triguero, Francisco Velasco, José Manuel Benítez
Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution. HAIS (1) (2012)
Isaac Triguero, Joaquín Derrac, Francisco Herrera, Salvador García
A study of the scaling up capabilities of stratified prototype generation. NaBIC (2011)
Isaac Triguero, Salvador García, Francisco Herrera
Enhancing IPADE Algorithm with a Different Individual Codification. HAIS (2) (2011)
Isaac Triguero, Salvador García, Francisco Herrera
Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification. Pattern Recognit. 44 (4) (2011)
Isaac Triguero, Salvador García, Francisco Herrera
A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification. IEEE Congress on Evolutionary Computation (2010)
Isaac Triguero, Salvador García, Francisco Herrera
IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. IEEE Trans. Neural Networks 21 (12) (2010)
Salvador García, Joaquín Derrac, Isaac Triguero, Cristóbal J. Carmona, Francisco Herrera
A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification. IEA/AIE (1) (2010)