A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification. - Isaac Triguero; Salvador García 001; Francisco Herrera (IEEE Congress on Evolutionary Computation, 2010)

A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification. - Salvador García 001; Joaquín Derrac; Isaac Triguero; Cristóbal J. Carmona; Francisco Herrera (IEA/AIE (1), 2010)

IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. - Isaac Triguero; Salvador García 001; Francisco Herrera (IEEE Trans. Neural Networks, 2010)

Enhancing IPADE Algorithm with a Different Individual Codification. - Isaac Triguero; Salvador García 001; Francisco Herrera (HAIS (2), 2011)

A study of the scaling up capabilities of stratified prototype generation. - Isaac Triguero; Joaquín Derrac; Francisco Herrera; Salvador García 001 (NaBIC, 2011)

Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification. - Isaac Triguero; Salvador García 001; Francisco Herrera (Pattern Recognit., 2011)

Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution. - Christoph Bergmeir; Isaac Triguero; Francisco Velasco; José Manuel Benítez 001 (HAIS (1), 2012)

A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection. - Joaquín Derrac; Isaac Triguero; Salvador García 001; Francisco Herrera (HAIS (2), 2012)

Evolutionary algorithms for the design of grid-connected PV-systems. - Daniel Gómez-Lorente; Isaac Triguero; Consolación Gil; A. Espín Estrella (Expert Syst. Appl., 2012)

Integrating a differential evolution feature weighting scheme into prototype generation. - Isaac Triguero; Joaquín Derrac; Salvador García 001; Francisco Herrera (Neurocomputing, 2012)

Evolutionary-based selection of generalized instances for imbalanced classification. - Salvador García 001; Joaquín Derrac; Isaac Triguero; Cristóbal J. Carmona; Francisco Herrera (Knowl. Based Syst., 2012)

Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models. - Christoph Bergmeir; Isaac Triguero; Daniel Molina; José Luis Aznarte; José Manuel Benítez 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms. - Joaquín Derrac; Isaac Triguero; Salvador García 001; Francisco Herrera (IEEE Trans. Syst. Man Cybern. Part B, 2012)

A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification. - Isaac Triguero; Joaquín Derrac; Salvador García 001; Francisco Herrera (IEEE Trans. Syst. Man Cybern. Part C, 2012)

A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification. - Bartosz Krawczyk; Isaac Triguero; Salvador García 001; Michal Wozniak 001; Francisco Herrera (IEEE Congress on Evolutionary Computation, 2014)

A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation. - Isaac Triguero; Daniel Peralta; Jaume Bacardit; Salvador García 001; Francisco Herrera (IEEE Congress on Evolutionary Computation, 2014)

Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms. - Daniel Peralta; Mikel Galar; Isaac Triguero; Oscar Miguel-Hurtado; José Manuel Benítez 001; Francisco Herrera (Eng. Appl. Artif. Intell., 2014)

Addressing imbalanced classification with instance generation techniques: IPADE-ID. - Victoria López; Isaac Triguero; Cristóbal J. Carmona; Salvador García 001; Francisco Herrera (Neurocomputing, 2014)

On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification. - Isaac Triguero; José A. Sáez; Julián Luengo; Salvador García 001; Francisco Herrera (Neurocomputing, 2014)

Fast fingerprint identification for large databases. - Daniel Peralta; Isaac Triguero; Raul Sánchez-Reillo; Francisco Herrera; José Manuel Benítez 001 (Pattern Recognit., 2014)

Evolutionary undersampling for imbalanced big data classification. - Isaac Triguero; Mikel Galar; Sarah Vluymans; Chris Cornelis; Humberto Bustince; Francisco Herrera; Yvan Saeys (CEC, 2015)

A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification. - Jesús Maillo; Isaac Triguero; Francisco Herrera (TrustCom/BigDataSE/ISPA (2), 2015)

MRPR: A MapReduce solution for prototype reduction in big data classification. - Isaac Triguero; Daniel Peralta; Jaume Bacardit; Salvador García 001; Francisco Herrera (Neurocomputing, 2015)

A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation. - Daniel Peralta; Mikel Galar; Isaac Triguero; Daniel Paternain; Salvador García 001; Edurne Barrenechea; José Manuel Benítez 001; Humberto Bustince; Francisco Herrera (Inf. Sci., 2015)

Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study. - Isaac Triguero; Salvador García 001; Francisco Herrera (Knowl. Inf. Syst., 2015)

A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models. - Mikel Galar; Joaquín Derrac; Daniel Peralta; Isaac Triguero; Daniel Paternain; Carlos Lopez-Molina; Salvador García 001; José Manuel Benítez 001; Miguel Pagola; Edurne Barrenechea Tartas; Humberto Bustince Sola; Francisco Herrera (Knowl. Based Syst., 2015)

A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal. - Mikel Galar; Joaquín Derrac; Daniel Peralta; Isaac Triguero; Daniel Paternain; Carlos Lopez-Molina; Salvador García 001; José Manuel Benítez 001; Miguel Pagola; Edurne Barrenechea Tartas; Humberto Bustince Sola; Francisco Herrera (Knowl. Based Syst., 2015)

ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem. - Isaac Triguero; Sara del Río; Victoria López; Jaume Bacardit; José Manuel Benítez 001; Francisco Herrera (Knowl. Based Syst., 2015)

SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification. - Isaac Triguero; Salvador García 001; Francisco Herrera (IEEE Trans. Cybern., 2015)

Evolutionary undersampling for extremely imbalanced big data classification under apache spark. - Isaac Triguero; Mikel Galar; D. Merino; Jesús Maillo; Humberto Bustince; Francisco Herrera (CEC, 2016)

From Big Data to Smart Data with the K-Nearest Neighbours Algorithm. - Isaac Triguero; Jesús Maillo; Julián Luengo; Salvador García 001; Francisco Herrera (iThings/GreenCom/CPSCom/SmartData, 2016)

EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data. - Sarah Vluymans; Isaac Triguero; Chris Cornelis; Yvan Saeys (Neurocomputing, 2016)

DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. - Daniel Peralta; Isaac Triguero; Salvador García 001; Francisco Herrera; José Manuel Benítez 001 (Inf. Fusion, 2016)

On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems. - Mabel González Castellanos; Christoph Bergmeir; Isaac Triguero; Yanet Rodríguez; José Manuel Benítez 001 (Inf. Sci., 2016)

Labelling strategies for hierarchical multi-label classification techniques. - Isaac Triguero; Celine Vens (Pattern Recognit., 2016)

A first attempt on global evolutionary undersampling for imbalanced big data. - Isaac Triguero; Mikel Galar; Humberto Bustince; Francisco Herrera (CEC, 2017)

Exact fuzzy k-nearest neighbor classification for big datasets. - Jesús Maillo; Julián Luengo; Salvador García 001; Francisco Herrera; Isaac Triguero (FUZZ-IEEE, 2017)

Vehicle Incident Hot Spots Identification: An Approach for Big Data. - Isaac Triguero; Grazziela P. Figueredo; Mohammad Mesgarpour; Jonathan M. Garibaldi; Robert I. John (TrustCom/BigDataSE/ICESS, 2017)

Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. - Daniel Peralta; Isaac Triguero; Salvador García 001; Yvan Saeys; José Manuel Benítez 001; Francisco Herrera (CoRR, 2017)

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. - Isaac Triguero; Sergio González; Jose M. Moyano; Salvador García 001; Jesús Alcalá-Fdez; Julián Luengo; Alberto Fernández 001; María José del Jesus; Luciano Sánchez; Francisco Herrera (Int. J. Comput. Intell. Syst., 2017)

kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data. - Jesús Maillo; Sergio Ramírez-Gallego; Isaac Triguero; Francisco Herrera (Knowl. Based Syst., 2017)

Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. - Daniel Peralta; Isaac Triguero; Salvador García 001; Yvan Saeys; José Manuel Benítez 001; Francisco Herrera (Knowl. Based Syst., 2017)

An Immune-Inspired Technique to Identify Heavy Goods Vehicles Incident Hot Spots. - Grazziela P. Figueredo; Isaac Triguero; Mohammad Mesgarpour; Alexandre M. Guerra; Jonathan M. Garibaldi; Robert I. John (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark. - Mikel Galar; Isaac Triguero; Humberto Bustince; Francisco Herrera (CEC, 2018)

A Genetic Algorithm With Composite Chromosome for Shift Assignment of Part-time Employees. - Ning Xue; Dario Landa-Silva; Isaac Triguero; Grazziela P. Figueredo (CEC, 2018)

A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification. - Jesús Maillo; Julián Luengo; Salvador García 001; Francisco Herrera; Isaac Triguero (FUZZ-IEEE, 2018)

A Preliminary Study on Automatic Algorithm Selection for Short-Term Traffic Forecasting. - Juan S. Angarita-Zapata; Isaac Triguero; Antonio D. Masegosa (IDC, 2018)

On the use of convolutional neural networks for robust classification of multiple fingerprint captures. - Daniel Peralta; Isaac Triguero; Salvador García 001; Yvan Saeys; José Manuel Benítez 001; Francisco Herrera (Int. J. Intell. Syst., 2018)

Self-labeling techniques for semi-supervised time series classification: an empirical study. - Mabel González Castellanos; Christoph Bergmeir; Isaac Triguero; Yanet Rodríguez; José Manuel Benítez 001 (Knowl. Inf. Syst., 2018)

Evolving Deep CNN-LSTMs for Inventory Time Series Prediction. - Ning Xue; Isaac Triguero; Grazziela P. Figueredo; Dario Landa-Silva (CEC, 2019)

A Preliminary Approach for the Exploitation of Citizen Science Data for Fast and Robust Fuzzy k-Nearest Neighbour Classification. - Manuel Jiménez; Mercedes Torres Torres; Robert I. John; Isaac Triguero (FUZZ-IEEE, 2019)

Fuzzy Hot Spot Identification for Big Data: An Initial Approach. - Rebecca Tickle; Isaac Triguero; Grazziela P. Figueredo; Ender Özcan; Mohammad Mesgarpour; Robert I. John (FUZZ-IEEE, 2019)

A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food. - Ning Xue; Dario Landa-Silva; Grazziela P. Figueredo; Isaac Triguero (ICORES, 2019)

A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective. - Juan S. Angarita-Zapata; Antonio D. Masegosa; Isaac Triguero (IEEE Access, 2019)

IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing. - Weiping Ding 001; Gary G. Yen; Gleb Beliakov; Isaac Triguero; Mahardhika Pratama; Xiangliang Zhang 001; Hongjun Li (IEEE Access, 2019)

Guest Editorial: Computational Intelligence for Big Data Analytics. - Alberto Fernández 001; Isaac Triguero; Mikel Galar; Francisco Herrera (Cogn. Comput., 2019)

PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams. - Rebecca Tickle; Isaac Triguero; Grazziela P. Figueredo; Mohammad Mesgarpour; Robert I. John (Cogn. Comput., 2019)

Multi-head CNN-RNN for multi-time series anomaly detection: An industrial case study. - Mikel Canizo; Isaac Triguero; Angel Conde; Enrique Onieva (Neurocomputing, 2019)

Handling uncertainty in citizen science data: Towards an improved amateur-based large-scale classification. - Manuel Jiménez; Isaac Triguero; Robert I. John (Inf. Sci., 2019)

Instance reduction for one-class classification. - Bartosz Krawczyk; Isaac Triguero; Salvador García 001; Michal Wozniak 001; Francisco Herrera (Knowl. Inf. Syst., 2019)

A review on the self and dual interactions between machine learning and optimisation. - Heda Song; Isaac Triguero; Ender Özcan (Prog. Artif. Intell., 2019)

Introduction to the Special Issue on Human-interaction-aware Data Analytics for Cyber-physical Systems. - Tongquan Wei; Junlong Zhou; Rajiv Ranjan 001; Isaac Triguero; Huafeng Yu; Chun Jason Xue; Schahram Dustdar (ACM Trans. Cyber Phys. Syst., 2019)

Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data. - Isaac Triguero; Diego García-Gil; Jesús Maillo; Julián Luengo; Salvador García 001; Francisco Herrera (WIREs Data Mining Knowl. Discov., 2019)

A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification. - Hoang Lam Le; Dario Landa-Silva; Mikel Galar; Salvador García 001; Isaac Triguero (CEC, 2020)

A Local Search with a Surrogate Assisted Option for Instance Reduction. - Ferrante Neri; Isaac Triguero (EvoApplications, 2020)

Chi-BD-DRF: Design of Scalable Fuzzy Classifiers for Big Data via A Dynamic Rule Filtering Approach. - Fatemeh Aghaeipoor; Mohammad Masoud Javidi; Isaac Triguero; Alberto Fernández 001 (FUZZ-IEEE, 2020)

General-Purpose Automated Machine Learning for Transportation: A Case Study of Auto-sklearn for Traffic Forecasting. - Juan S. Angarita-Zapata; Antonio D. Masegosa; Isaac Triguero (IPMU (2), 2020)

Galaxy Image Classification Based on Citizen Science Data: A Comparative Study. - Manuel Jiménez; Mercedes Torres Torres; Robert I. John; Isaac Triguero (IEEE Access, 2020)

Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data. - Jesús Maillo; Isaac Triguero; Francisco Herrera (IEEE Access, 2020)

Current trends of granular data mining for biomedical data analysis. - Weiping Ding 001; Chin-Teng Lin; Alan Wee-Chung Liew; Isaac Triguero; Wenjian Luo (Inf. Sci., 2020)

Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data. - Jesús Maillo; Salvador García 001; Julián Luengo; Francisco Herrera; Isaac Triguero (IEEE Trans. Fuzzy Syst., 2020)

Few-Shot Learning for Postnatal Gestational Age Estimation. - Stepan Romanov; Heda Song; Michel F. Valstar; Don Sharkey; Caz Henry; Isaac Triguero; Mercedes Torres Torres (IJCNN, 2021)

EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification. - Hoang Lam Le; Dario Landa-Silva; Mikel Galar; Salvador García 001; Isaac Triguero (Appl. Soft Comput., 2021)

Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities. - Swagatam Das; Salvador García 001; Isaac Triguero (Neurocomputing, 2021)

L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout. - Heda Song; Mercedes Torres Torres; Ender Özcan; Isaac Triguero (Neurocomputing, 2021)

Decomposition-Fusion for Label Distribution Learning. - Manuel González; Germán González-Almagro; Isaac Triguero; José Ramón Cano; Salvador García 001 (Inf. Fusion, 2021)

Beyond global and local multi-target learning. - Márcio P. Basgalupp; Ricardo Cerri; Leander Schietgat; Isaac Triguero; Celine Vens (Inf. Sci., 2021)

Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree. - Weiping Ding 001; Isaac Triguero; Chin-Teng Lin (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Multigranulation Supertrust Model for Attribute Reduction. - Weiping Ding 001; Witold Pedrycz; Isaac Triguero; Zehong Cao; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2021)

Accelerated pattern search with variable solution size for simultaneous instance selection and generation. - Hoang Lam Le; Ferrante Neri; Dario Landa-Silva; Isaac Triguero (GECCO Companion, 2022)

Feature Importance Identification for Time Series Classifiers. - Han Meng; Christian Wagner 002; Isaac Triguero (SMC, 2022)

Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. - Christoph Bergmeir; Frits de Nijs; Abishek Sriramulu; Mahdi Abolghasemi; Richard Bean 001; John M. Betts; Quang Bui; Nam Trong Dinh; Nils Einecke; Rasul Esmaeilbeigi; Scott Ferraro; Priya Galketiya; et al. (CoRR, 2022)

A fusion spatial attention approach for few-shot learning. - Heda Song; Bowen Deng; Michael P. Pound; Ender Özcan; Isaac Triguero (Inf. Fusion, 2022)

SPMS-ALS: A Single-Point Memetic structure with accelerated local search for instance reduction. - Hoang Lam Le; Ferrante Neri; Isaac Triguero (Swarm Evol. Comput., 2022)

Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data. - Ryan Dave; Juan S. Angarita-Zapata; Isaac Triguero (CD-MAKE, 2023)

An Initial Step Towards Stable Explanations for Multivariate Time Series Classifiers with LIME. - Han Meng; Christian Wagner 002; Isaac Triguero (FUZZ, 2023)

Forecasting Solar Irradiance without Direct Observation: An Empirical Analysis. - Timothy Cargan; Dario Landa-Silva; Isaac Triguero (CoRR, 2023)

AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting. - Juan S. Angarita-Zapata; Antonio D. Masegosa; Isaac Triguero (CoRR, 2023)

General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications. - Isaac Triguero; Daniel Molina; Javier Poyatos; Javier Del Ser; Francisco Herrera (CoRR, 2023)

The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. - 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; et al. (CoRR, 2023)

Identifying bird species by their calls in Soundscapes. - Kyle D. S. Maclean; Isaac Triguero (Appl. Intell., 2023)

Explaining time series classifiers through meaningful perturbation and optimisation. - Han Meng; Christian Wagner 002; Isaac Triguero (Inf. Sci., 2023)

Semi-supervised Predictive Clustering Trees for Multi-label Protein Subcellular Localization. - Leonardo U. Alcantara; Isaac Triguero; Ricardo Cerri (BRACIS (2), 2024)

A Preliminary Study on Preprocessing the Semantic Space in Zero-Shot Learning. - Juan José Herrera Aranda; Francisco Herrera; Isaac Triguero (HAIS (2), 2024)

A Wearable Eye-Tracking Approach for Early Autism Detection with Machine Learning: Unravelling Challenges and Opportunities. - J. Lopez-Martinez; Purificación Checa; José Manuel Soto-Hidalgo; Isaac Triguero; Alberto Fernández 001 (IJCNN, 2024)

Exploring Automated Feature Engineering for Energy Consumption Forecasting with AutoML. - Nasser Alkhulaifi; Alexander L. Bowler; Direnc Pekaslan; Isaac Triguero; Nicholas James Watson (SMC, 2024)

Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities. - Nasser Alkhulaifi; Alexander L. Bowler; Direnc Pekaslan; Gulcan Serdaroglu; Steve Closs; Nicholas James Watson; Isaac Triguero (IEEE Access, 2024)

Local-global methods for generalised solar irradiance forecasting. - Timothy Cargan; Dario Landa-Silva; Isaac Triguero (Appl. Intell., 2024)

Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. - Javier Poyatos; Javier Del Ser; Salvador García 001; Hisao Ishibuchi; Daniel Molina; Isaac Triguero; Bing Xue 001; Xin Yao 001; Francisco Herrera (CoRR, 2024)

SEGAL time series classification - Stable explanations using a generative model and an adaptive weighting method for LIME. - Han Meng; Christian Wagner 002; Isaac Triguero (Neural Networks, 2024)

General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance. - Isaac Triguero; Daniel Molina; Javier Poyatos; Javier Del Ser; Francisco Herrera (Inf. Fusion, 2024)

A First Approach to Refine Semantic Spaces in Zero-Shot Learning with a Genetic Algorithm. - J. J. Herrera; Francisco Herrera; Isaac Triguero (CEC, 2025)

Predict+Optimize Problem in Renewable Energy Scheduling. - Christoph Bergmeir; Frits de Nijs; Evgenii Genov; Abishek Sriramulu; Mahdi Abolghasemi; Richard Bean 001; John M. Betts; Quang Bui; Nam Trong Dinh; Nils Einecke; Rasul Esmaeilbeigi; Scott Ferraro; et al. (IEEE Access, 2025)