| Deep neural networks with convolutional and LSTM layers for SYM‐H and ASY‐H forecasting A Collado‐Villaverde, P Muñoz, C Cid Space Weather 19 (6), e2021SW002748, 2021 | 23 | 2021 |
| Machine learning approach to detect falls on elderly people using sound A Collado-Villaverde, MD R-Moreno, DF Barrero, D Rodriguez Advances in Artificial Intelligence: From Theory to Practice: 30th …, 2017 | 16* | 2017 |
| A simulator to support machine learning-based wearable fall detection systems A Collado-Villaverde, M Cobos, P Muñoz, D F. Barrero Electronics 9 (11), 1831, 2020 | 9 | 2020 |
| Triaxial accelerometer located on the wrist for elderly people’s fall detection AC Villaverde, MD R-Moreno, DF Barrero, D Rodriguez Intelligent Data Engineering and Automated Learning–IDEAL 2016: 17th …, 2016 | 4 | 2016 |
| Neural Networks for Operational SYM‐H Forecasting Using Attention and SWICS Plasma Features A Collado‐Villaverde, P Muñoz, C Cid Space Weather 21 (8), e2023SW003485, 2023 | 3 | 2023 |
| Classifying and bounding geomagnetic storms based on the SYM-H and ASY-H indices A Collado-Villaverde, P Muñoz, C Cid Natural Hazards 120 (2), 1141-1162, 2024 | 2 | 2024 |
| Fall simulator for supporting supervised Machine Learning techniques in wearable devices A Collado-Villaverde, M Cobos, P Muñoz, MD R-Moreno 2020 International Conference on INnovations in Intelligent SysTems and …, 2020 | 1 | 2020 |
| A framework for evaluating geomagnetic indices forecasting models A Collado‐Villaverde, P Muñoz, C Cid Space Weather 22 (3), e2024SW003868, 2024 | | 2024 |
