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physics.data-an2020★ 1 cited
Machine Learning scientific competitions and datasets
David Rousseau, Andrey Ustyuzhanin
A number of scientific competitions have been organised in the last few years with the objective of discovering innovative techniques to perform typical High Energy Physics tasks,…
physics.data-an2017★ 6 cited
Towards automation of data quality system for CERN CMS experiment
Maxim Borisyak, Fedor Ratnikov, Denis Derkach +1
Daily operation of a large-scale experiment is a challenging task, particularly from perspectives of routine monitoring of quality for data being taken. We describe an approach tha…
physics.data-an2016★ 88 cited
Reweighting with Boosted Decision Trees
A. Rogozhnikov
Machine learning tools are commonly used in modern high energy physics (HEP) experiments. Different models, such as boosted decision trees (BDT) and artificial neural networks (ANN…