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
Anomaly Detection in Dynamic Graphs Via Long Short-Term Tem..:
, In:
2023 International Conference on Machine Learning and Cybernetics (ICMLC)
,
Gao, Zu-Kang
;
Ma, Le-Ming
;
Li, Mei-Ting
.. - p. 153-158 , 2023
Link:
https://doi.org/10.1109/ICMLC58545.2023.10327925
RT T1
2023 International Conference on Machine Learning and Cybernetics (ICMLC)
: T1
Anomaly Detection in Dynamic Graphs Via Long Short-Term Temporal Attention Network
UL https://suche.suub.uni-bremen.de/peid=ieee-10327925&Exemplar=1&LAN=DE A1 Gao, Zu-Kang A1 Ma, Le-Ming A1 Li, Mei-Ting A1 Zhao, Gen A1 Li, Mark Jun-Jie YR 2023 SN 2160-1348 K1 Social networking (online) K1 Heuristic algorithms K1 Aggregates K1 Machine learning K1 Feature extraction K1 Electronic commerce K1 Computer security K1 Anomaly detection K1 Dynamic graphs K1 Long Short-term Temporal Attention SP 153 OP 158 LK http://dx.doi.org/https://doi.org/10.1109/ICMLC58545.2023.10327925 DO https://doi.org/10.1109/ICMLC58545.2023.10327925 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)