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
An Extreme Gradient Boosting-based Prediction for Depressio:
, In:
2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
,
Ibrahum, Ahmed
;
Park, Kwang Ho
;
Hong, Jang-Eui
.. - p. 1607-1613 , 2023
Link:
https://doi.org/10.1109/APSIPAASC58517.2023.10317543
RT T1
2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
: T1
An Extreme Gradient Boosting-based Prediction for Depression
UL https://suche.suub.uni-bremen.de/peid=ieee-10317543&Exemplar=1&LAN=DE A1 Ibrahum, Ahmed A1 Park, Kwang Ho A1 Hong, Jang-Eui A1 Pham, Van-Huy A1 Ryu, Keun Ho YR 2023 SN 2640-0103 K1 Surveys K1 Input variables K1 Sociology K1 Hafnium K1 Predictive models K1 Depression K1 Feature extraction K1 machine-learning K1 Hybrid Feature Selection K1 LASSO K1 XGBoost SP 1607 OP 1613 LK http://dx.doi.org/https://doi.org/10.1109/APSIPAASC58517.2023.10317543 DO https://doi.org/10.1109/APSIPAASC58517.2023.10317543 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)