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
Detecting Atrial Fibrillation from Single-Lead ECG Using Un..:
, In:
Proceedings of the 2019 4th International Conference on Machine Learning Technologies
,
Mei, Xingming
;
Rao, Nini
;
Li, Quanchi
... - p. 66-69 , 2019
Link:
https://dl.acm.org/doi/10.1145/3340997.3341004
RT T1
Proceedings of the 2019 4th International Conference on Machine Learning Technologies
: T1
Detecting Atrial Fibrillation from Single-Lead ECG Using Unbalanced Multi-classification Support Vector Machine
UL https://suche.suub.uni-bremen.de/peid=acm-3341004&Exemplar=1&LAN=DE A1 Mei, Xingming A1 Rao, Nini A1 Li, Quanchi A1 Luo, Chengsi A1 Kipkurui, Biwott Fleix A1 Jiang, Hongxiu PB ACM YR 2019 K1 Atrial fibrillation (AF) K1 Detection K1 Multi-classification K1 SVM K1 Single-lead ECG K1 Computing methodologies K1 Modeling and simulation K1 Model development and analysis K1 Modeling methodologies SP 66 OP 69 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3340997.3341004 DO https://dl.acm.org/doi/10.1145/3340997.3341004 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)