| 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 | 394 | 2020 |
| Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation A Gómez-Ríos, S Tabik, J Luengo, ASM Shihavuddin, B Krawczyk, ... Expert Systems with Applications 118, 315-328, 2019 | 151 | 2019 |
| A study on the noise label influence in boosting algorithms: AdaBoost, GBM and XGBoost A Gómez-Ríos, J Luengo, F Herrera Hybrid Artificial Intelligent Systems: 12th International Conference, HAIS …, 2017 | 78 | 2017 |
| Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks A Gómez-Ríos, S Tabik, J Luengo, ASM Shihavuddin, F Herrera Knowledge-Based Systems 184, 104891, 2019 | 42 | 2019 |
| Redes neuronales convolucionales para una clasificación precisa de imágenes de corales A Gómez-Rıos, S Tabik, J Luengo, F Herrera, ASM Shihavuddin, ... XVIII Conferencia de la Asociación Española para la Inteligencia Artificial …, 2019 | 4 | 2019 |
| Metodologías de datos de calidad (Smart Data) para Deep Learning: el problema del ruido de clase y aplicaciones en corales y COVID-19 A Gómez Ríos Universidad de Granada, 2022 | | 2022 |
| A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training A Gómez-Ríos, J Luengo, F Herrera arXiv preprint arXiv:2109.03748, 2021 | | 2021 |
