65 citations · 216 across the 7 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
physics.plasm-ph2019★ 53 cited
Deep Learning for Plasma Tomography and Disruption Prediction from Bolometer Data
Diogo R. Ferreira, Pedro J. Carvalho, Horácio Fernandes
The use of deep learning is facilitating a wide range of data processing tasks in many areas. The analysis of fusion data is no exception, since there is a need to process large am…
hep-ex2019★ 65 cited
The Tracking Machine Learning challenge : Accuracy phase
Sabrina Amrouche, Laurent Basara, Paolo Calafiura +24
This paper reports the results of an experiment in high energy physics: using the power of the "crowd" to solve difficult experimental problems linked to tracking accurately the tr…