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
Multimodal Architecture for Sentiment Recognition via emplo..:
, In:
2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
,
Kapoor, Samridhi
;
Gulati, Shubham
;
Verma, Sumit
.. - p. 435-439 , 2024
Link:
https://doi.org/10.1109/InCACCT61598.2024.10551131
RT T1 <cTitle>2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)</cTitle>: T1 <Title>Multimodal Architecture for Sentiment Recognition via employing Multiple Modalities</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10551131&Exemplar=1&LAN=DE A1 Kapoor, Samridhi A1 Gulati, Shubham A1 Verma, Sumit A1 Pandey, Ananya A1 Vishwakarma, Dinesh Kumar YR 2024 K1 Visualization K1 Sentiment analysis K1 Analytical models K1 Text analysis K1 Image recognition K1 Social networking (online) K1 Text recognition K1 Sentiment Recognition (SR) K1 Multi-modal Sentiment Recognition (MSR) K1 RoBERTa K1 RegNet SP 435 OP 439 LK http://dx.doi.org/https://doi.org/10.1109/InCACCT61598.2024.10551131 DO https://doi.org/10.1109/InCACCT61598.2024.10551131 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
