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
LARA: A Light and Anti-overfitting Retraining Approach for ..:
, In:
Proceedings of the ACM Web Conference 2024
,
Chen, Feiyi
;
Qin, Zhen
;
Zhou, Mengchu
... - p. 4138-4149 , 2024
Link:
https://dl.acm.org/doi/10.1145/3589334.3645472
RT T1
Proceedings of the ACM Web Conference 2024
: T1
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection
UL https://suche.suub.uni-bremen.de/peid=acm-3645472&Exemplar=1&LAN=DE A1 Chen, Feiyi A1 Qin, Zhen A1 Zhou, Mengchu A1 Zhang, Yingying A1 Deng, Shuiguang A1 Fan, Lunting A1 Pang, Guansong A1 Wen, Qingsong PB ACM YR 2024 K1 anomaly detection K1 anti-overfitting K1 light overhead K1 time series K1 Information systems K1 World Wide Web K1 Web mining K1 Web log analysis K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Anomaly detection SP 4138 OP 4149 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3589334.3645472 DO https://dl.acm.org/doi/10.1145/3589334.3645472 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)