Gravity Spy: integrating advanced LIGO detector characterization, machine learning, and citizen science. (2017)

First Author: Zevin M
Attributed to:  Human-Machine Classification for Astrophysical Projects funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1088/1361-6382/aa5cea

PubMed Identifier: 29722360

Publication URI: http://europepmc.org/abstract/MED/29722360

Type: Journal Article/Review

Volume: 34

Parent Publication: Classical and quantum gravity

Issue: No 6

ISSN: 0264-9381