| Thermodynamics-informed neural network for recovering supercritical fluid thermophysical information from turbulent velocity data N Masclans, F Vázquez-Novoa, M Bernades, RM Badia, L Jofre International Journal of Thermofluids 20, 100448, 2023 | 12 | 2023 |
| Block size estimation for data partitioning in HPC applications using machine learning techniques R Cantini, F Marozzo, A Orsino, D Talia, P Trunfio, RM Badia, J Ejarque, ... Journal of Big Data 11 (1), 19, 2024 | 5 | 2024 |
| A machine learning estimator trained on synthetic data for real-time earthquake ground-shaking predictions in Southern California M Monterrubio-Velasco, S Callaghan, D Modesto, JC Carrasco, RM Badia, ... Communications Earth & Environment 5 (1), 258, 2024 | 1 | 2024 |
| Scalable random forest with data-parallel computing F Vázquez-Novoa, J Conejero, C Tatu, RM Badia European Conference on Parallel Processing, 397-410, 2023 | 1 | 2023 |
| GPU Cache System for COMPSs: A Task-Based Distributed Computing Framework CC Tatu, J Conejero, F Vázquez-Novoa, RM Badia European Conference on Parallel Processing, 225-239, 2024 | | 2024 |
| Harnessing the Computing Continuum across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0 F Baghdadi, D Cirillo, D Lezzi, F Lordan, F Vazquez, E Lomurno, ... arXiv preprint arXiv:2403.14650, 2024 | | 2024 |
| Ground Motion Shaking Predictions Based on Machine Learning and Physics-based Simulations M Monterrubio-Velasco, S Callaghan, D Modesto, JC Carrasco, RM Badia, ... | | 2023 |
| Meta reinforcement learning for fast adaptation to changing conditions: application to adaptive optics in large telescopes F Vázquez Novoa Universitat Politècnica de Catalunya, 2022 | | 2022 |
