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
Research on Medical Text Classification based on BioBERT-GR..:
, In:
2022 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)
,
Chen, Weidong
;
Fang, Fang
;
Wang, Pin
... - p. 213-219 , 2022
Link:
https://doi.org/10.1109/AEECA55500.2022.9919061
RT T1 <cTitle>2022 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)</cTitle>: T1 <Title>Research on Medical Text Classification based on BioBERT-GRU-Attention</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9919061&Exemplar=1&LAN=DE A1 Chen, Weidong A1 Fang, Fang A1 Wang, Pin A1 Kan, Junling A1 Li, Wenhai A1 Wu, Wenjian YR 2022 K1 Deep learning K1 Electrical engineering K1 Biological system modeling K1 Computational modeling K1 Text categorization K1 Bit error rate K1 Manuals K1 Deep Learning K1 Medical Text Classification K1 BioBERT K1 BiGRU K1 BiLSTM K1 Multi-head Self-Attention Mechanism SP 213 OP 219 LK http://dx.doi.org/https://doi.org/10.1109/AEECA55500.2022.9919061 DO https://doi.org/10.1109/AEECA55500.2022.9919061 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
