4 citations · 5 across the 3 of their papers we have counts for
3 papers
physics.data-an2007★ 1 cited
A multivariate approach to heavy flavour tagging with cascade training
J. Bastos, Y. Liu
This paper compares the performance of artificial neural networks and boosted decision trees, with and without cascade training, for tagging b-jets in a collider experiment. It is…
physics.data-an2007★ 4 cited
Tagging heavy flavours with boosted decision trees
J. Bastos
This paper evaluates the performance of boosted decision trees for tagging b-jets. It is shown, using a Monte Carlo simulation of events that boosted decision t…
physics.ins-det2006
A statistical method for luminosity monitoring in high energy collider experiments
J. Bastos, J. Carvalho, M. Schmelling
A statistical method which uses a combination of two subdetectors to monitor the luminosity in high energy interactions is presented. To illustrate its performance, this method was…