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
Multi-level Interaction Network for Multi-Modal Rumor Detec..:
, In:
2023 International Joint Conference on Neural Networks (IJCNN)
,
Zou, Ting
;
Qian, Zhong
;
Li, Peifeng
- p. 1-8 , 2023
Link:
https://doi.org/10.1109/IJCNN54540.2023.10191639
RT T1
2023 International Joint Conference on Neural Networks (IJCNN)
: T1
Multi-level Interaction Network for Multi-Modal Rumor Detection
UL https://suche.suub.uni-bremen.de/peid=ieee-10191639&Exemplar=1&LAN=DE A1 Zou, Ting A1 Qian, Zhong A1 Li, Peifeng YR 2023 SN 2161-4407 K1 Knowledge engineering K1 Fuses K1 Semantics K1 Neural networks K1 Blogs K1 Media K1 Benchmark testing K1 multi-modal rumor detection K1 multi-level interaction network K1 external knowledge K1 multi-modal fusion SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/IJCNN54540.2023.10191639 DO https://doi.org/10.1109/IJCNN54540.2023.10191639 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)