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
Detection of Emotions Using a Boosted Machine Learning Appr..:
, In:
2022 1st International Conference on Computational Science and Technology (ICCST)
,
Pragnya, Y
;
Kumar, N Jagadish
;
Udhaya Sankar, S M
.. - p. 16-21 , 2022
Link:
https://doi.org/10.1109/ICCST55948.2022.10040393
RT T1
2022 1st International Conference on Computational Science and Technology (ICCST)
: T1
Detection of Emotions Using a Boosted Machine Learning Approach
UL https://suche.suub.uni-bremen.de/peid=ieee-10040393&Exemplar=1&LAN=DE A1 Pragnya, Y A1 Kumar, N Jagadish A1 Udhaya Sankar, S M A1 Manoj, Allen A1 Achary, Goloti Pavani YR 2022 K1 Training K1 Sentiment analysis K1 Social networking (online) K1 Scientific computing K1 Computational modeling K1 Blogs K1 Mental health K1 Sentiment Analysis K1 Social Networks K1 Cognitive Health K1 Classification K1 Boosting SP 16 OP 21 LK http://dx.doi.org/https://doi.org/10.1109/ICCST55948.2022.10040393 DO https://doi.org/10.1109/ICCST55948.2022.10040393 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)