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
Joint Modeling of Heterogeneous Sensing Data for Depression..:
Lu, Jin
;
Shang, Chao
;
Yue, Chaoqun
...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2 (2018) 1 - p. 1-21 , 2018
Link:
https://doi.org/10.1145/3191753
RT Journal T1
Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning
UL https://suche.suub.uni-bremen.de/peid=cr-10.1145_3191753&Exemplar=1&LAN=DE A1 Lu, Jin A1 Shang, Chao A1 Yue, Chaoqun A1 Morillo, Reynaldo A1 Ware, Shweta A1 Kamath, Jayesh A1 Bamis, Athanasios A1 Russell, Alexander A1 Wang, Bing A1 Bi, Jinbo PB Association for Computing Machinery (ACM) YR 2018 SN 2474-9567 JF Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies VO 2 IS 1 SP 1 OP 21 LK http://dx.doi.org/https://doi.org/10.1145/3191753 DO https://doi.org/10.1145/3191753 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)