Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Lieberman Benjamin"'
Autor:
Lieberman, Benjamin, Dahbi, Salah-Eddine, Crivellin, Andreas, Stevenson, Finn, Tripathi, Nidhi, Kumar, Mukesh, Mellado, Bruce
Publikováno v:
SciPost Phys. Core 7, 073 (2024)
To mitigate the model dependencies of searches for new narrow resonances at the Large Hadron Collider (LHC), semi-supervised Neural Networks (NNs) can be used. Unlike fully supervised classifiers these models introduce an additional look-elsewhere ef
Externí odkaz:
http://arxiv.org/abs/2404.07822
Autor:
Perikli, Nicholas, Bhattacharya, Srimoy, Ogbuokiri, Blessing, Nia, Zahra Movahedi, Lieberman, Benjamin, Tripathi, Nidhi, Dahbi, Salah-Eddine, Stevenson, Finn, Bragazzi, Nicola, Kong, Jude, Mellado, Bruce
Very large numbers of M-pox cases have, since the start of May 2022, been reported in non-endemic countries leading many to fear that the M-pox Outbreak would rapidly transition into another pandemic, while the COVID-19 pandemic ravages on. Given the
Externí odkaz:
http://arxiv.org/abs/2310.04453
Autor:
Perikli, Nicholas, Bhattacharya, Srimoy, Ogbuokiri, Blessing, Nia, Zahra Movahedi, Lieberman, Benjamin, Tripathi, Nidhi, Dahbi, Salah-Eddine, Stevenson, Finn, Bragazzi, Nicola, Kong, Jude, Mellado, Bruce
Very few social media studies have been done on South African user-generated content during the COVID-19 pandemic and even fewer using hand-labelling over automated methods. Vaccination is a major tool in the fight against the pandemic, but vaccine h
Externí odkaz:
http://arxiv.org/abs/2307.15072
In particle physics, semi-supervised machine learning is an attractive option to reduce model dependencies searches beyond the Standard Model. When utilizing semi-supervised techniques in training machine learning models in the search for bosons at t
Externí odkaz:
http://arxiv.org/abs/2109.07287