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
Towards Parkinson's Disease Prognosis Using Self-Supervised..:
, In:
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Jiang, Hongchao
;
Bryan Lim, Wei Yang
;
Shyuan Ng, Jer
... - p. 3960-3964 , 2021
Link:
https://doi.org/10.1109/ICASSP39728.2021.9414840
RT T1 <cTitle>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Towards Parkinson's Disease Prognosis Using Self-Supervised Learning and Anomaly Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9414840&Exemplar=1&LAN=DE A1 Jiang, Hongchao A1 Bryan Lim, Wei Yang A1 Shyuan Ng, Jer A1 Wang, Yu A1 Chi, Ying A1 Miao, Chunyan YR 2021 SN 2379-190X K1 Supervised learning K1 Tools K1 Sensors K1 Task analysis K1 Prognostics and health management K1 Biomedical monitoring K1 Statistics K1 Parkinson's Disease K1 Self-supervised learning K1 Anomaly detection K1 Triaxial Accelerometers SP 3960 OP 3964 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP39728.2021.9414840 DO https://doi.org/10.1109/ICASSP39728.2021.9414840 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
