Anomaly detection using Deep Autoencoders for the assessment of the quality of the data acquired by the CMS experiment (2019)

First Author: Pol A

Attributed to: GRIDPP PROJECT COORDINATION funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1051/epjconf/201921406008

Publication URI: http://dx.doi.org/10.1051/epjconf/201921406008

Type: Journal Article/Review

Parent Publication: EPJ Web of Conferences