| arXiv: Handbook of LHC Higgs Cross Sections: 4. Deciphering the Nature of the Higgs Sector D de Florian, D Fontes, J Quevillon, M Schumacher, FJ Llanes-Estrada, ... Cern, 2016 | 2812* | 2016 |
| Exploring the standard model EFT in production with machine learning FF Freitas, CK Khosa, V Sanz Physical Review D 100 (3), 035040, 2019 | 49 | 2019 |
| Probing -violating Higgs and gauge-boson couplings in the Standard Model effective field theory F Ferreira, B Fuks, V Sanz, D Sengupta The European Physical Journal C 77 (10), 675, 2017 | 41 | 2017 |
| Ultralight bosons for strong gravity applications from simple Standard Model extensions FF Freitas, CAR Herdeiro, AP Morais, A Onofre, R Pasechnik, E Radu, ... Journal of Cosmology and Astroparticle Physics 2021 (12), 047, 2021 | 36 | 2021 |
| Application of deep learning approach for the classification of buildings’ degradation state in a BIM methodology F Rodrigues, V Cotella, H Rodrigues, E Rocha, F Freitas, R Matos Applied Sciences 12 (15), 7403, 2022 | 31 | 2022 |
| Phenomenology of vector-like leptons with Deep Learning at the Large Hadron Collider FF Freitas, J Gonçalves, AP Morais, R Pasechnik Journal of High Energy Physics 2021 (1), 1-61, 2021 | 28 | 2021 |
| Exploring gravitational-wave detection and parameter inference using deep learning methods JD Álvares, JA Font, FF Freitas, OG Freitas, AP Morais, S Nunes, A Onofre, ... Classical and Quantum Gravity 38 (15), 155010, 2021 | 24 | 2021 |
| Inverse type II seesaw mechanism and its signature at the LHC and ILC FF Freitas, CAS Pires, PSR da Silva Physics Letters B 769, 48-56, 2017 | 16 | 2017 |
| Identification of binary neutron star mergers in gravitational-wave data using object-detection machine learning models J Aveiro, FF Freitas, M Ferreira, A Onofre, C Providência, G Gonçalves, ... Physical Review D 106 (8), 084059, 2022 | 15 | 2022 |
| Developing an app to interpret chest X-rays to support the diagnosis of respiratory pathology with artificial intelligence A Elkins, FF Freitas, V Sanz arXiv preprint arXiv:1906.11282, 2019 | 13 | 2019 |
| Collider signatures of vector-like fermions from a flavor symmetric model C Bonilla, AE Hernández, J Gonçalves, FF Freitas, AP Morais, ... Journal of High Energy Physics 2022 (1), 1-40, 2022 | 12 | 2022 |
| Impact of SM parameters and of the vacua of the Higgs potential in gravitational waves detection FF Freitas, G Lourenço, AP Morais, A Nunes, J Olívia, R Pasechnik, ... Journal of Cosmology and Astroparticle Physics 2022 (03), 046, 2022 | 11 | 2022 |
| Deep learning analysis of the inverse seesaw in a 3-3-1 model at the LHC D Cogollo, FF Freitas, CAS Pires, YM Oviedo-Torres, P Vasconcelos Physics Letters B 811, 135931, 2020 | 11 | 2020 |
| On new physics searches with multidimensional differential shapes F Ferreira, S Fichet, V Sanz Physics Letters B 778, 35-42, 2018 | 10 | 2018 |
| Contribution to the data on the Karroo of Portuguese Lake Nyasa A Borges, A Nunes, F Freitas CR 19th Int. geol. Congr. Fasc. 21, 83-92, 1954 | 10 | 1954 |
| Towards recognizing the light facet of the Higgs Boson A Alves, FF Freitas Machine Learning: Science and Technology 1 (4), 045025, 2020 | 9 | 2020 |
| Deep learning searches for vector-like leptons at the LHC and electron/muon colliders AP Morais, A Onofre, FF Freitas, J Gonçalves, R Pasechnik, R Santos The European Physical Journal C 83 (3), 1-24, 2023 | 8 | 2023 |
| Interplay between flavor anomalies and neutrino properties FF Freitas, J Gonçalves, AP Morais, R Pasechnik, W Porod Physical Review D 108 (11), 115002, 2023 | 7 | 2023 |
| Generating gravitational waveform libraries of exotic compact binaries with deep learning FF Freitas, CAR Herdeiro, AP Morais, A Onofre, R Pasechnik, E Radu, ... Physical Review D 109 (12), 124059, 2024 | 6 | 2024 |
| Phenomenology at the large hadron collider with deep learning: the case of vector-like quarks decaying to light jets FF Freitas, J Gonçalves, AP Morais, R Pasechnik The European Physical Journal C 82 (9), 1-16, 2022 | 5 | 2022 |
Veronica SanzUniversities of Sussex & Valencia在 sussex.ac.uk 的电子邮件经过验证
