Ensemble approach for detection of depression using EEG features
author
Avots, Egils
Jermakovs, Klavs
Bachmann, Maie
Päeske, Laura
Ozcinar, Cagri
Anbarjafari, Gholamreza
statement of authorship
Egils Avots, Klavs Jermakovs, Maie Bachmann, Laura Päeske, Cagri Ozcinar and Gholamreza Anbarjafari
source
Entropy
publisher
MDPI
journal volume number month
vol. 24, 2
year of publication
2022
pages
art. 211
url
https://doi.org/10.3390/e24020211
subject term
depressioon
elektroentsefalogramm
tehisõpe
keyword
depression
electroencephalogram (EEG)
feature extraction and selection
machine learning
ensemble learning
ISSN
1099-4300
notes
Bibliogr.: 46 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/13715
https://www.scopus.com/record/display.uri?eid=2-s2.0-85123892123&origin=inward&txGid=b97cf826d6d30ef60e4ea694f996a953
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ENTROPY-SWITZ&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000763045400001
category (general)
Mathematics
Matemaatika
Physics and astronomy
Füüsika ja astronoomia
Engineering
Tehnika
Computer Science
Arvutiteadus
category (sub)
Mathematics. Mathematical physics
Matemaatika. Matemaatiline füüsika
Physics and astronomy. Physics and astronomy (miscellaneous)
Füüsika ja astronoomia. Füüsika ja astronoomia (mitmesugused)
Physics and astronomy. General physics and astronomy
Füüsika ja astronoomia. Üldfüüsika ja astronoomia
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
Computer science. Information systems
Arvutiteadus. Infosüsteemid
quartile
Q2
TalTech department
tervisetehnoloogiate instituut
language
inglise
Reserch Group
Brain bioelectrical signals research group