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
Robustness Analysis and Evaluation Study of Chinese Text Ev..:
, In:
2023 9th International Conference on Big Data and Information Analytics (BigDIA)
,
Chen, Haiwen
;
Liu, Kaiyue
;
Liu, Pengyu
.. - p. 632-639 , 2023
Link:
https://doi.org/10.1109/BigDIA60676.2023.10429355
RT T1 <cTitle>2023 9th International Conference on Big Data and Information Analytics (BigDIA)</cTitle>: T1 <Title>Robustness Analysis and Evaluation Study of Chinese Text Event Detection Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10429355&Exemplar=1&LAN=DE A1 Chen, Haiwen A1 Liu, Kaiyue A1 Liu, Pengyu A1 Wang, Ji A1 Ge, Ningchao YR 2023 SN 2771-6902 K1 Analytical models K1 Event detection K1 Perturbation methods K1 Training data K1 Robustness K1 Data models K1 Task analysis K1 Deep learning K1 Neural network K1 Confrontation sample SP 632 OP 639 LK http://dx.doi.org/https://doi.org/10.1109/BigDIA60676.2023.10429355 DO https://doi.org/10.1109/BigDIA60676.2023.10429355 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
