| |
Author |
Title |
Year  |
Publication |
Volume |
Pages |
Links |
|
|
Kasieczka, G. et al; Sanz, V. |
The LHC Olympics 2020: a community challenge for anomaly detection in high energy physics |
2021 |
Reports on Progress in Physics |
84 |
124201 - 64pp |
|
|
|
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 |
|
|
|
Khosa, C.K.; Sanz, V. |
On the Impact of the LHC Run 2 Data on General Composite Higgs Scenarios |
2022 |
Advances in High Energy Physics |
2022 |
8970837 - 13pp |
|
|
|
Hirn, J.; Garcia, J.E.; Montesinos-Navarro, A.; Sanchez-Martin, R.; Sanz, V.; Verdu, M. |
A deep Generative Artificial Intelligence system to predict species coexistence patterns |
2022 |
Methods in Ecology and Evolution |
13 |
1052-1061 |
|
|
|
Cranmer, K. et al; Sanz, V. |
Publishing statistical models: Getting the most out of particle physics experiments |
2022 |
Scipost Physics |
12 |
037 - 55pp |
|
