Deep learning for inferring cause of data anomalies
Deep learning for inferring cause of data anomalies
About this item
Full title
Author / Creator
Azzolini, V. , Borisyak, M. , Cerminara, G. , Derkach, D. , Franzoni, G. , De Guio, F. , Koval, O. , Pierini, M. , Pol, A. , Ratnikov, F. , Siroky, F. , Ustyuzhanin, A. and Vlimant, J-R.
Publisher
Bristol: IOP Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Bristol: IOP Publishing
Subjects
More information
Scope and Contents
Contents
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 sub-detectors and the global quality of data depends on the combinatorial performance of each of them. In this paper, the problem of identifying channels in which anomalies...
Alternative Titles
Full title
Deep learning for inferring cause of data anomalies
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2572548292
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2572548292
Other Identifiers
ISSN
1742-6588
E-ISSN
1742-6596
DOI
10.1088/1742-6596/1085/4/042015
