| 2025 | CEC | A First Approach to Refine Semantic Spaces in Zero-Shot Learning with a Genetic Algorithm. | J. J. Herrera, Francisco Herrera, Isaac Triguero |
| 2025 | IJCNN | Directed Perturbations for Efficient Learning of Surrogate Losses. | Timothy Cargan, Dario Landa Silva, Isaac Triguero |
| 2025 | IJCNN | Frequency-Aware Contrastive Loss for Self-Supervised EEG Seizure Detection. | Kristina Stemikovskaya, Diana Manjarres, Isaac Triguero |
| 2025 | IDEAL | Monte Carlo-Based Interval TOPSIS for Navigating Decision Support Under Uncertainty. | Jingda Ying, Christian Wagner, Isaac Triguero, Shaily Kabir |
| 2025 | SMC | From Traditional Methods to GPT-based Models for 2D Video Game Level Procedural Content Generation: An Empirical Study. | Daniel Cerezo, Isaac Triguero |
| 2024 | HAIS | A Preliminary Study on Preprocessing the Semantic Space in Zero-Shot Learning. | Juan Jos Herrera Aranda, Francisco Herrera, Isaac Triguero |
| 2024 | IJCNN | A Wearable Eye-Tracking Approach for Early Autism Detection with Machine Learning: Unravelling Challenges and Opportunities. | J. Lopez-Martinez, Purificacin Checa, Jos Manuel Soto-Hidalgo, Isaac Triguero, Alberto Fernndez |
| 2024 | SMC | Exploring Automated Feature Engineering for Energy Consumption Forecasting with AutoML. | Nasser Alkhulaifi, Alexander L. Bowler, Direnc Pekaslan, Isaac Triguero, Nicholas James Watson |
| 2022 | GECCO | Accelerated pattern search with variable solution size for simultaneous instance selection and generation. | Hoang Lam Le, Ferrante Neri, Dario Landa-Silva, Isaac Triguero |
| 2022 | SMC | Feature Importance Identification for Time Series Classifiers. | Han Meng, Christian Wagner, Isaac Triguero |
| 2021 | IJCNN | Few-Shot Learning for Postnatal Gestational Age Estimation. | Stepan Romanov, Heda Song, Michel F. Valstar, Don Sharkey, Caz Henry, Isaac Triguero, Mercedes Torres Torres |
| 2020 | CEC | A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification. | Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador Garca, Isaac Triguero |
| 2020 | IPMU | 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 |
| 2019 | CEC | Evolving Deep CNN-LSTMs for Inventory Time Series Prediction. | Ning Xue, Isaac Triguero, Grazziela P. Figueredo, Dario Landa-Silva |
| 2019 | ICORES | A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food. | Ning Xue, Dario Landa-Silva, Grazziela P. Figueredo, Isaac Triguero |
| 2018 | CEC | 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 |
| 2018 | CEC | A Genetic Algorithm With Composite Chromosome for Shift Assignment of Part-time Employees. | Ning Xue, Dario Landa-Silva, Isaac Triguero, Grazziela P. Figueredo |
| 2018 | IDC | A Preliminary Study on Automatic Algorithm Selection for Short-Term Traffic Forecasting. | Juan S. Angarita-Zapata, Isaac Triguero, Antonio D. Masegosa |
| 2017 | CEC | A first attempt on global evolutionary undersampling for imbalanced big data. | Isaac Triguero, Mikel Galar, Humberto Bustince, Francisco Herrera |
| 2017 | TrustCom | Vehicle Incident Hot Spots Identification: An Approach for Big Data. | Isaac Triguero, Grazziela P. Figueredo, Mohammad Mesgarpour, Jonathan M. Garibaldi, Robert I. John |
| 2016 | CEC | Evolutionary undersampling for extremely imbalanced big data classification under apache spark. | Isaac Triguero, Mikel Galar, D. Merino, Jess Maillo, Humberto Bustince, Francisco Herrera |
| 2015 | CEC | Evolutionary undersampling for imbalanced big data classification. | Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys |
| 2015 | TrustCom | A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification. | Jess Maillo, Isaac Triguero, Francisco Herrera |
| 2014 | CEC | A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification. | Bartosz Krawczyk, Isaac Triguero, Salvador Garca, Michal Wozniak, Francisco Herrera |
| 2014 | CEC | A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation. | Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador Garca, Francisco Herrera |
| 2012 | HAIS | Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution. | Christoph Bergmeir, Isaac Triguero, Francisco Velasco, Jos Manuel Bentez |
| 2012 | HAIS | A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection. | Joaqun Derrac, Isaac Triguero, Salvador Garca, Francisco Herrera |
| 2011 | HAIS | Enhancing IPADE Algorithm with a Different Individual Codification. | Isaac Triguero, Salvador Garca, Francisco Herrera |
| 2010 | CEC | A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification. | Isaac Triguero, Salvador Garca, Francisco Herrera |