| Optimizing dense feed-forward neural networks L Balderas, M Lastra, JM Benítez Neural Networks 171, 229-241, 2024 | 5 | 2024 |
| Optimizing Convolutional Neural Network Architectures L Balderas, M Lastra, JM Benítez Mathematics 12 (19), 3032, 2024 | 2 | 2024 |
| COVID-ViT: COVID-19 detection method based on vision transformers L Balderas, M Lastra, AJ Láinez-Ramos-Bossini, JM Benítez International Conference on Intelligent Systems Design and Applications, 81-90, 2022 | 2 | 2022 |
| A real-world intelligent system for the diagnosis and triage of COVID-19 in the emergency department M Lastra Leidinger, F Aragón Royón, O Etxeberria, L Balderas Mre Press, 2023 | 1 | 2023 |
| An Efficient Green AI Approach to Time Series Forecasting Based on Deep Learning L Balderas, M Lastra, JM Benítez Big Data and Cognitive Computing 8 (9), 120, 2024 | | 2024 |
| Reliable Central Nervous System Tumor Differentiation on MRI Images with Deep Neural Networks and Conformal Prediction L Balderas, MM de Castro, M Lastra, JP Martínez, FJ Pérez, A Laínez, ... | | 2024 |
| Can persistent homology whiten Transformer-based black-box models? A case study on BERT compression L Balderas, M Lastra, JM Benítez arXiv preprint arXiv:2312.10702, 2023 | | 2023 |
Miguel LastraProfesor Contratado Doctor de la Universidad de Granada (Associate Professor)在 ugr.es 的电子邮件经过验证
