Isaac Triguero

113 papers B 24C 2Misc 1Journal 72Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decision-Focused Learning Enhanced by Automated Feature Engineering for Energy Storage Optimisation.
Expert Syst. Appl.
Nasser Alkhulaifi, Ismail Gokay Dogan, Timothy Cargan, Alexander L. Bowler, Direnc Pekaslan, Nicholas James Watson, Isaac Triguero
2025 B conf
A First Approach to Refine Semantic Spaces in Zero-Shot Learning with a Genetic Algorithm.
CEC
J. J. Herrera, Francisco Herrera, Isaac Triguero
2025 J jnl
AutoEnergy: An automated feature engineering algorithm for energy consumption forecasting with AutoML.
Knowl. Based Syst.
Nasser Alkhulaifi, Alexander L. Bowler, Direnc Pekaslan, Nicholas James Watson, Isaac Triguero
2025 J jnl
Decision-Focused Learning Enhanced by Automated Feature Engineering for Energy Storage Optimisation.
CoRR
Nasser Alkhulaifi, Ismail Gokay Dogan, Timothy Cargan, Alexander L. Bowler, Direnc Pekaslan, Nicholas James Watson, Isaac Triguero
2025 B conf
Directed Perturbations for Efficient Learning of Surrogate Losses.
IJCNN
Timothy Cargan, Dario Landa Silva, Isaac Triguero
2025 B conf
Frequency-Aware Contrastive Loss for Self-Supervised EEG Seizure Detection.
IJCNN
Kristina Stemikovskaya, Diana Manjarres, Isaac Triguero
2025 B conf
From Traditional Methods to GPT-based Models for 2D Video Game Level Procedural Content Generation: An Empirical Study.
SMC
Daniel Cerezo, Isaac Triguero
2025 J jnl
Generalising Stock Detection in Retail Cabinets with Minimal Data Using a DenseNet and Vision Transformer Ensemble.
Mach. Learn. Knowl. Extr.
Babak Rahi, Deniz Sagmanli, Felix Oppong, Direnc Pekaslan, Isaac Triguero
2025 — conf
Monte Carlo-Based Interval TOPSIS for Navigating Decision Support Under Uncertainty.
IDEAL (2)
Jingda Ying, Christian Wagner, Isaac Triguero, Shaily Kabir
2025 J jnl
Predict+Optimize Problem in Renewable Energy Scheduling.
IEEE Access
Christoph Bergmeir, Frits de Nijs, Evgenii Genov, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, 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
2025 J jnl
Semantic-Inductive Attribute Selection for Zero-Shot Learning.
CoRR
Juan José Herrera Aranda, Guillermo Gomez-Trenado, Francisco Herrera, Isaac Triguero
2024 — conf
A Preliminary Study on Preprocessing the Semantic Space in Zero-Shot Learning.
HAIS (2)
Juan José Herrera Aranda, Francisco Herrera, Isaac Triguero
2024 B conf
A Wearable Eye-Tracking Approach for Early Autism Detection with Machine Learning: Unravelling Challenges and Opportunities.
IJCNN
J. Lopez-Martinez, Purificación Checa, José Manuel Soto-Hidalgo, Isaac Triguero, Alberto Fernández
2024 J jnl
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects.
CoRR
Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera
2024 B conf
Exploring Automated Feature Engineering for Energy Consumption Forecasting with AutoML.
SMC
Nasser Alkhulaifi, Alexander L. Bowler, Direnc Pekaslan, Isaac Triguero, Nicholas James Watson
2024 J jnl
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance.
Inf. Fusion
Isaac Triguero, Daniel Molina, Javier Poyatos, Javier Del Ser, Francisco Herrera
2024 J jnl
Local-global methods for generalised solar irradiance forecasting.
Appl. Intell.
Timothy Cargan, Dario Landa-Silva, Isaac Triguero
2024 J jnl
Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities.
IEEE Access
Nasser Alkhulaifi, Alexander L. Bowler, Direnc Pekaslan, Gulcan Serdaroglu, Steve Closs, Nicholas James Watson, Isaac Triguero
2024 J jnl
SEGAL time series classification - Stable explanations using a generative model and an adaptive weighting method for LIME.
Neural Networks
Han Meng, Christian Wagner, Isaac Triguero
2024 — conf
Semi-supervised Predictive Clustering Trees for Multi-label Protein Subcellular Localization.
BRACIS (2)
Leonardo U. Alcantara, Isaac Triguero, Ricardo Cerri
2023 — conf
An Initial Step Towards Stable Explanations for Multivariate Time Series Classifiers with LIME.
FUZZ
Han Meng, Christian Wagner, Isaac Triguero
2023 J jnl
AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting.
CoRR
Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
2023 J jnl
Explaining time series classifiers through meaningful perturbation and optimisation.
Inf. Sci.
Han Meng, Christian Wagner, Isaac Triguero
2023 J jnl
Forecasting Solar Irradiance without Direct Observation: An Empirical Analysis.
CoRR
Timothy Cargan, Dario Landa-Silva, Isaac Triguero
2023 J jnl
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications.
CoRR
Isaac Triguero, Daniel Molina, Javier Poyatos, Javier Del Ser, Francisco Herrera
2023 C conf
Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data.
CD-MAKE
Ryan Dave, Juan S. Angarita-Zapata, Isaac Triguero
2023 J jnl
Identifying bird species by their calls in Soundscapes.
Appl. Intell.
Kyle D. S. Maclean, Isaac Triguero
2023 J jnl
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond.
CoRR
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
2022 J jnl
A fusion spatial attention approach for few-shot learning.
Inf. Fusion
Heda Song, Bowen Deng, Michael P. Pound, Ender Özcan, Isaac Triguero
2022 — conf
Accelerated pattern search with variable solution size for simultaneous instance selection and generation.
GECCO Companion
Hoang Lam Le, Ferrante Neri, Dario Landa-Silva, Isaac Triguero
2022 J jnl
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy.
CoRR
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
2022 B conf
Feature Importance Identification for Time Series Classifiers.
SMC
Han Meng, Christian Wagner, Isaac Triguero
2022 J jnl
SPMS-ALS: A Single-Point Memetic structure with accelerated local search for instance reduction.
Swarm Evol. Comput.
Hoang Lam Le, Ferrante Neri, Isaac Triguero
2021 J jnl
Beyond global and local multi-target learning.
Inf. Sci.
Márcio P. Basgalupp, Ricardo Cerri, Leander Schietgat, Isaac Triguero, Celine Vens
2021 J jnl
Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree.
IEEE Trans. Emerg. Top. Comput. Intell.
Weiping Ding, Isaac Triguero, Chin-Teng Lin
2021 J jnl
Decomposition-Fusion for Label Distribution Learning.
Inf. Fusion
Manuel González, Germán González-Almagro, Isaac Triguero, José Ramón Cano, Salvador García
2021 J jnl
EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification.
Appl. Soft Comput.
Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador García, Isaac Triguero
2021 B conf
Few-Shot Learning for Postnatal Gestational Age Estimation.
IJCNN
Stepan Romanov, Heda Song, Michel F. Valstar, Don Sharkey, Caz Henry, Isaac Triguero, Mercedes Torres Torres
2021 J jnl
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout.
Neurocomputing
Heda Song, Mercedes Torres Torres, Ender Özcan, Isaac Triguero
2021 J jnl
Multigranulation Supertrust Model for Attribute Reduction.
IEEE Trans. Fuzzy Syst.
Weiping Ding, Witold Pedrycz, Isaac Triguero, Zehong Cao, Chin-Teng Lin
2021 J jnl
Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities.
Neurocomputing
Swagatam Das, Salvador García, Isaac Triguero
2020 B conf
A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification.
CEC
Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador García, Isaac Triguero
2020 B conf
A Local Search with a Surrogate Assisted Option for Instance Reduction.
EvoApplications
Ferrante Neri, Isaac Triguero
2020 B conf
Chi-BD-DRF: Design of Scalable Fuzzy Classifiers for Big Data via A Dynamic Rule Filtering Approach.
FUZZ-IEEE
Fatemeh Aghaeipoor, Mohammad Masoud Javidi, Isaac Triguero, Alberto Fernández
2020 J jnl
Current trends of granular data mining for biomedical data analysis.
Inf. Sci.
Weiping Ding, Chin-Teng Lin, Alan Wee-Chung Liew, Isaac Triguero, Wenjian Luo
2020 J jnl
Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data.
IEEE Trans. Fuzzy Syst.
Jesús Maillo, Salvador García, Julián Luengo, Francisco Herrera, Isaac Triguero
2020 J jnl
Galaxy Image Classification Based on Citizen Science Data: A Comparative Study.
IEEE Access
Manuel Jiménez, Mercedes Torres Torres, Robert I. John, Isaac Triguero
2020 — conf
General-Purpose Automated Machine Learning for Transportation: A Case Study of Auto-sklearn for Traffic Forecasting.
IPMU (2)
Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
2020 J jnl
Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data.
IEEE Access
Jesús Maillo, Isaac Triguero, Francisco Herrera
2019 B conf
A Preliminary Approach for the Exploitation of Citizen Science Data for Fast and Robust Fuzzy k-Nearest Neighbour Classification.
FUZZ-IEEE
Manuel Jiménez, Mercedes Torres Torres, Robert I. John, Isaac Triguero
2019 C conf
A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food.
ICORES
Ning Xue, Dario Landa-Silva, Grazziela P. Figueredo, Isaac Triguero
2019 J jnl
A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective.
IEEE Access
Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
2019 J jnl
A review on the self and dual interactions between machine learning and optimisation.
Prog. Artif. Intell.
Heda Song, Isaac Triguero, Ender Özcan
2019 B conf
Evolving Deep CNN-LSTMs for Inventory Time Series Prediction.
CEC
Ning Xue, Isaac Triguero, Grazziela P. Figueredo, Dario Landa-Silva
2019 B conf
Fuzzy Hot Spot Identification for Big Data: An Initial Approach.
FUZZ-IEEE
Rebecca Tickle, Isaac Triguero, Grazziela P. Figueredo, Ender Özcan, Mohammad Mesgarpour, Robert I. John
2019 J jnl
Guest Editorial: Computational Intelligence for Big Data Analytics.
Cogn. Comput.
Alberto Fernández, Isaac Triguero, Mikel Galar, Francisco Herrera
2019 J jnl
Handling uncertainty in citizen science data: Towards an improved amateur-based large-scale classification.
Inf. Sci.
Manuel Jiménez, Isaac Triguero, Robert I. John
2019 J jnl
IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing.
IEEE Access
Weiping Ding, Gary G. Yen, Gleb Beliakov, Isaac Triguero, Mahardhika Pratama, Xiangliang Zhang, Hongjun Li
2019 J jnl
Instance reduction for one-class classification.
Knowl. Inf. Syst.
Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera
2019 J jnl
Introduction to the Special Issue on Human-interaction-aware Data Analytics for Cyber-physical Systems.
ACM Trans. Cyber Phys. Syst.
Tongquan Wei, Junlong Zhou, Rajiv Ranjan, Isaac Triguero, Huafeng Yu, Chun Jason Xue, Schahram Dustdar
2019 J jnl
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout.
CoRR
Heda Song, Mercedes Torres Torres, Ender Özcan, Isaac Triguero
2019 J jnl
Multi-head CNN-RNN for multi-time series anomaly detection: An industrial case study.
Neurocomputing
Mikel Canizo, Isaac Triguero, Angel Conde, Enrique Onieva
2019 J jnl
PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams.
Cogn. Comput.
Rebecca Tickle, Isaac Triguero, Grazziela P. Figueredo, Mohammad Mesgarpour, Robert I. John
2019 J jnl
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.
Isaac Triguero, Diego García-Gil, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera
2018 B conf
A Genetic Algorithm With Composite Chromosome for Shift Assignment of Part-time Employees.
CEC
Ning Xue, Dario Landa-Silva, Isaac Triguero, Grazziela P. Figueredo
2018 B conf
A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark.
CEC
Mikel Galar, Isaac Triguero, Humberto Bustince, Francisco Herrera
2018 Misc conf
A Preliminary Study on Automatic Algorithm Selection for Short-Term Traffic Forecasting.
IDC
Juan S. Angarita-Zapata, Isaac Triguero, Antonio D. Masegosa
2018 B conf
A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification.
FUZZ-IEEE
Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera, Isaac Triguero
2018 J jnl
On the use of convolutional neural networks for robust classification of multiple fingerprint captures.
Int. J. Intell. Syst.
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
2018 J jnl
Self-labeling techniques for semi-supervised time series classification: an empirical study.
Knowl. Inf. Syst.
Mabel González Castellanos, Christoph Bergmeir, Isaac Triguero, Yanet Rodríguez, José Manuel Benítez
2017 B conf
A first attempt on global evolutionary undersampling for imbalanced big data.
CEC
Isaac Triguero, Mikel Galar, Humberto Bustince, Francisco Herrera
2017 J jnl
An Immune-Inspired Technique to Identify Heavy Goods Vehicles Incident Hot Spots.
IEEE Trans. Emerg. Top. Comput. Intell.
Grazziela P. Figueredo, Isaac Triguero, Mohammad Mesgarpour, Alexandre M. Guerra, Jonathan M. Garibaldi, Robert I. John
2017 J jnl
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection.
Knowl. Based Syst.
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
2017 B conf
Exact fuzzy k-nearest neighbor classification for big datasets.
FUZZ-IEEE
Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera, Isaac Triguero
2017 J jnl
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints.
CoRR
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
2017 J jnl
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining.
Int. J. Comput. Intell. Syst.
Isaac Triguero, Sergio González, Jose M. Moyano, Salvador García, Jesús Alcalá-Fdez, Julián Luengo, Alberto Fernández, María José del Jesus, Luciano Sánchez, Francisco Herrera
2017 — conf
Vehicle Incident Hot Spots Identification: An Approach for Big Data.
TrustCom/BigDataSE/ICESS
Isaac Triguero, Grazziela P. Figueredo, Mohammad Mesgarpour, Jonathan M. Garibaldi, Robert I. John
2017 J jnl
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data.
Knowl. Based Syst.
Jesús Maillo, Sergio Ramírez-Gallego, Isaac Triguero, Francisco Herrera
2016 J jnl
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases.
Inf. Fusion
Daniel Peralta, Isaac Triguero, Salvador García, Francisco Herrera, José Manuel Benítez
2016 J jnl
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data.
Neurocomputing
Sarah Vluymans, Isaac Triguero, Chris Cornelis, Yvan Saeys
2016 B conf
Evolutionary undersampling for extremely imbalanced big data classification under apache spark.
CEC
Isaac Triguero, Mikel Galar, D. Merino, Jesús Maillo, Humberto Bustince, Francisco Herrera
2016 — conf
From Big Data to Smart Data with the K-Nearest Neighbours Algorithm.
iThings/GreenCom/CPSCom/SmartData
Isaac Triguero, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera
2016 J jnl
Labelling strategies for hierarchical multi-label classification techniques.
Pattern Recognit.
Isaac Triguero, Celine Vens
2016 J jnl
On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems.
Inf. Sci.
Mabel González Castellanos, Christoph Bergmeir, Isaac Triguero, Yanet Rodríguez, José Manuel Benítez
2015 — conf
A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification.
TrustCom/BigDataSE/ISPA (2)
Jesús Maillo, Isaac Triguero, Francisco Herrera
2015 J jnl
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models.
Knowl. Based Syst.
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
2015 J jnl
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal.
Knowl. Based Syst.
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
2015 J jnl
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation.
Inf. Sci.
Daniel Peralta, Mikel Galar, Isaac Triguero, Daniel Paternain, Salvador García, Edurne Barrenechea, José Manuel Benítez, Humberto Bustince, Francisco Herrera
2015 B conf
Evolutionary undersampling for imbalanced big data classification.
CEC
Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys
2015 J jnl
MRPR: A MapReduce solution for prototype reduction in big data classification.
Neurocomputing
Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera
2015 J jnl
ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem.
Knowl. Based Syst.
Isaac Triguero, Sara del Río, Victoria López, Jaume Bacardit, José Manuel Benítez, Francisco Herrera
2015 J jnl
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification.
IEEE Trans. Cybern.
Isaac Triguero, Salvador García, Francisco Herrera
2015 J jnl
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study.
Knowl. Inf. Syst.
Isaac Triguero, Salvador García, Francisco Herrera
2014 B conf
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation.
IEEE Congress on Evolutionary Computation
Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera
2014 B conf
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification.
IEEE Congress on Evolutionary Computation
Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera
2014 J jnl
Addressing imbalanced classification with instance generation techniques: IPADE-ID.
Neurocomputing
Victoria López, Isaac Triguero, Cristóbal J. Carmona, Salvador García, Francisco Herrera
2014 J jnl
Fast fingerprint identification for large databases.
Pattern Recognit.
Daniel Peralta, Isaac Triguero, Raul Sánchez-Reillo, Francisco Herrera, José Manuel Benítez
2014 J jnl
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms.
Eng. Appl. Artif. Intell.
Daniel Peralta, Mikel Galar, Isaac Triguero, Oscar Miguel-Hurtado, José Manuel Benítez, Francisco Herrera
2014 J jnl
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification.
Neurocomputing
Isaac Triguero, José A. Sáez, Julián Luengo, Salvador García, Francisco Herrera
2012 — conf
A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection.
HAIS (2)
Joaquín Derrac, Isaac Triguero, Salvador García, Francisco Herrera
2012 J jnl
A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification.
IEEE Trans. Syst. Man Cybern. Part C
Isaac Triguero, Joaquín Derrac, Salvador García, Francisco Herrera
2012 J jnl
Evolutionary algorithms for the design of grid-connected PV-systems.
Expert Syst. Appl.
Daniel Gómez-Lorente, Isaac Triguero, Consolación Gil, A. Espín Estrella
2012 J jnl
Evolutionary-based selection of generalized instances for imbalanced classification.
Knowl. Based Syst.
Salvador García, Joaquín Derrac, Isaac Triguero, Cristóbal J. Carmona, Francisco Herrera
2012 J jnl
Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms.
IEEE Trans. Syst. Man Cybern. Part B
Joaquín Derrac, Isaac Triguero, Salvador García, Francisco Herrera
2012 J jnl
Integrating a differential evolution feature weighting scheme into prototype generation.
Neurocomputing
Isaac Triguero, Joaquín Derrac, Salvador García, Francisco Herrera
2012 — conf
Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution.
HAIS (1)
Christoph Bergmeir, Isaac Triguero, Francisco Velasco, José Manuel Benítez
2012 J jnl
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models.
IEEE Trans. Neural Networks Learn. Syst.
Christoph Bergmeir, Isaac Triguero, Daniel Molina, José Luis Aznarte, José Manuel Benítez
2011 — conf
A study of the scaling up capabilities of stratified prototype generation.
NaBIC
Isaac Triguero, Joaquín Derrac, Francisco Herrera, Salvador García
2011 J jnl
Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification.
Pattern Recognit.
Isaac Triguero, Salvador García, Francisco Herrera
2011 — conf
Enhancing IPADE Algorithm with a Different Individual Codification.
HAIS (2)
Isaac Triguero, Salvador García, Francisco Herrera
2010 — conf
A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification.
IEA/AIE (1)
Salvador García, Joaquín Derrac, Isaac Triguero, Cristóbal J. Carmona, Francisco Herrera
2010 B conf
A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification.
IEEE Congress on Evolutionary Computation
Isaac Triguero, Salvador García, Francisco Herrera
2010 J jnl
IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification.
IEEE Trans. Neural Networks
Isaac Triguero, Salvador García, Francisco Herrera