Explaining the decisions of power quality disturbance classifiers using latent space features
author
Machlev, Ram
Perl, Michael
Caciularu, Avi
Belikov, Juri
Levy, Kfir Yehuda
Levron, Yoash
statement of authorship
Ram Machlev, Michael Perl, Avi Caciularu, Juri Belikov, Kfir Yehuda Levy, Yoash Levron
source
International journal of electrical power & energy systems
publisher
Elsevier
journal volume number month
vol. 148
year of publication
2023
pages
art. 108949
url
https://doi.org/10.1016/j.ijepes.2023.108949
subject term
häiringud
klassifitseerimine
tehisõpe
tehisintellekt
ISSN
0142-0615
notes
Bibliogr.: 42 ref
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/17985
https://www.scopus.com/record/display.uri?eid=2-s2.0-85146300050&origin=inward&txGid=d0252b42c34e3f6f867293a6a61a53eb
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=INT%20J%20ELEC%20POWER&year=2023
https://www.webofscience.com/wos/woscc/full-record/WOS:000938644800001
category (general)
Engineering
Tehnika
Energy
Energia
category (sub)
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
Energy. Energy engineering and power technology
Energia. Energiatehnika ja energeetika
quartile
Q1
TalTech department
tarkvarateaduse instituut
language
inglise
Reserch Group
Centre for intelligent systems