Author  |
Title |
Year |
Publication |
Volume |
Pages |
| ANTARES Collaboration (Albert, A. et al); Alves, S.; Calvo, D.; Carretero, V.; Gozzini, R.; Hernandez-Rey, J.J.; Lazo, A.; Manczak, J.; Real, D.; Sanchez-Losa, A.; Saina, A.; Salesa Greus, F.; Zornoza, J.D.; Zuñiga, J. |
Deep learning framework for enhanced neutrino reconstruction of single-line events in the ANTARES telescope |
2026 |
Machine Learning-Science and Technology |
7 |
035004 - 27pp |
| Babiano, V.; Caballero, L.; Calvo, D.; Ladarescu, I.; Olleros, P.; Domingo-Pardo, C. |
gamma-Ray position reconstruction in large monolithic LaCl3(Ce) crystals with SiPM readout |
2019 |
Nuclear Instruments & Methods in Physics Research A |
931 |
1-22 |
| Balibrea-Correa, J.; Lerendegui-Marco, J.; Babiano-Suarez, V.; Caballero, L.; Calvo, D.; Ladarescu, I.; Olleros-Rodriguez, P.; Domingo-Pardo, C. |
Machine Learning aided 3D-position reconstruction in large LaCl3 crystals |
2021 |
Nuclear Instruments & Methods in Physics Research A |
1001 |
165249 - 17pp |
| Dilator, J.M.; Jaworski, G.; Goasduff, A.; Gonzalez, V.; Gadea, A.; Palacz, M.; Valiente-Dobon, J.J.; Nyberg, J.; Casans, S.; Navarro-Anton, A.E.; Sanchis, E.; de Angelis, G.; Boujrad, A.; Coudert, S.; Dupasquier, T.; Ertürk, S.; Stezowski, O.; Wadsworth, R. |
Reconstruction of pile-up events using a one-dimensional convolutional autoencoder for the NEDA detector array |
2025 |
Nuclear Science and Techniques |
36 |
32 - 9pp |
| Ferrer-Sanchez, A.; Martin-Guerrero, J.; Ruiz de Austri, R.; Torres-Forne, A.; Font, J.A. |
Gradient-annihilated PINNs for solving Riemann problems: Application to relativistic hydrodynamics |
2024 |
Computer Methods in Applied Mechanics and Engineering |
424 |
116906 - 18pp |
| Ferrer-Sanchez, A.; Villanueva-Espinosa, N.; Hernani-Morales, C.; Ruiz de Austri-Bazan, R.; Font, J.A.; Martin-Guerrero, J.D.; Choptuik, M.W. |
Addressing the gravitational collapse of a massless scalar field with physics-informed neural networks |
2026 |
Machine Learning-Science and Technology |
7 |
025038 - 26pp |
| Folgado, M.G.; Sanz, V. |
Exploring the political pulse of a country using data science tools |
2022 |
Journal of Computational Social Science |
5 |
987-1000 |
| Folgado, M.G.; Sanz, V.; Hirn, J.; Lorenzo-Saez, E.; Urchueguia, J.F. |
Towards Predictive Pollution Control Through Traffic Flux Forecasting With Deep Learning: A Case Study in the City of Valencia |
2025 |
Applied AI Letters |
6 |
e106 - 15pp |
| Khosa, C.K.; Mars, L.; Richards, J.; Sanz, V. |
Convolutional neural networks for direct detection of dark matter |
2020 |
Journal of Physics G |
47 |
095201 - 20pp |
| Perez-Curbelo, J.; Roser, J.; Muñoz, E.; Barrientos, L.; Sanz, V.; Llosa, G. |
Improving Compton camera imaging of multi-energy radioactive sources by using machine learning algorithms for event selection |
2025 |
Radiation Physics and Chemistry |
226 |
112166 - 11pp |
