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20172022
most citedhls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

8 citations · 10 across the 4 of their papers we have counts for

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Showing physics.data-anShow all

2 papers · 1 filter

physics.data-an2018

Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider

Adrian Alan Pol, Gianluca Cerminara, Cecile Germain +2

Reliable data quality monitoring is a key asset in delivering collision data suitable for physics analysis in any modern large-scale High Energy Physics experiment. This paper focu…

physics.data-an2017★ 1 cited

Deep learning for inferring cause of data anomalies

V. Azzolini, M. Borisyak, G. Cerminara +10

Daily operation of a large-scale experiment is a resource consuming task, particularly from perspectives of routine data quality monitoring. Typically, data comes from different su…