I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Early Detection of Depression Using Machine Learning and So..:
, In:
2024 16th International Conference on Computer and Automation Engineering (ICCAE)
,
Wang, Alex X.
;
Nguyen, Binh P.
;
Elliott, Tom
... - p. 181-186 , 2024
Link:
https://doi.org/10.1109/ICCAE59995.2024.10569222
RT T1 <cTitle>2024 16th International Conference on Computer and Automation Engineering (ICCAE)</cTitle>: T1 <Title>Early Detection of Depression Using Machine Learning and Social Well-Being Survey Data</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10569222&Exemplar=1&LAN=DE A1 Wang, Alex X. A1 Nguyen, Binh P. A1 Elliott, Tom A1 Mbinta, James F. A1 Sporle, Andrew A1 Simpson, Colin R. YR 2024 SN 2154-4360 K1 Surveys K1 COVID-19 K1 Correlation K1 Accuracy K1 Sensitivity K1 Machine learning K1 Receivers K1 Depression K1 Survey data K1 XAI SP 181 OP 186 LK http://dx.doi.org/https://doi.org/10.1109/ICCAE59995.2024.10569222 DO https://doi.org/10.1109/ICCAE59995.2024.10569222 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
