18 citations · 18 across the 2 of their papers we have counts for
2 papers
hep-ph2022
A simple guide from Machine Learning outputs to statistical criteria
Charanjit K. Khosa, Veronica Sanz, Michael Soughton
In this paper we propose ways to incorporate Machine Learning training outputs into a study of statistical significance. We describe these methods in supervised classification task…
hep-ph2019★ 18 cited
Using Machine Learning to disentangle LHC signatures of Dark Matter candidates
C. K. Khosa, V. Sanz, M. Soughton
We study the prospects of characterising Dark Matter at colliders using Machine Learning (ML) techniques. We focus on the monojet and missing transverse energy (MET) channel and pr…