| COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on chest X-ray images S Tabik, A Gómez-Ríos, JL Martín-Rodríguez, I Sevillano-García, ... IEEE journal of biomedical and health informatics 24 (12), 3595-3605, 2020 | 371 | 2020 |
| REVEL framework to measure local linear explanations for black-box models: Deep learning image classification case study I Sevillano-García, J Luengo, F Herrera International Journal of Intelligent Systems 2023, 1-34, 2023 | 7 | 2023 |
| Slicer: feature learning for class separability with least-squares support vector machine loss and COVID-19 chest X-ray case study D Charte, I Sevillano-García, MJ Lucena-González, JL Martín-Rodríguez, ... Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS …, 2021 | 3 | 2021 |
| SHIELD: A regularization technique for eXplainable Artificial Intelligence I Sevillano-García, J Luengo, F Herrera arXiv preprint arXiv:2404.02611, 2024 | | 2024 |
| Optimizing LIME Explanations Using REVEL Metrics I Sevillano-Garcia, J Luengo, F Herrera International Conference on Hybrid Artificial Intelligence Systems, 304-313, 2023 | | 2023 |
| Check for updates Optimizing LIME Explanations Using I Sevillano-Garcia, J Luengo, F Herrera Hybrid Artificial Intelligent Systems: 18th International Conference, HAIS …, 2023 | | 2023 |
| Low-Impact Feature Reduction regularization term: How to improve Artificial Intelligence with Explainability I Sevillano-García, J Luengo, F Herrera | | 2023 |
| A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges J Luengo Martín, I Sevillano García, FD Charte Luque, A Peláez Vegas, ... Elsevier, 2021 | | 2021 |
