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
A Meta-Learner-Integrated Stacking Voting Ensemble Network ..:
, In:
2024 International Conference on Emerging Smart Computing and Informatics (ESCI)
,
Wankhade, Kanchan V.
;
Gulame, Mayuresh
;
Khune, Priya
... - p. 1-5 , 2024
Link:
https://doi.org/10.1109/ESCI59607.2024.10497389
RT T1 <cTitle>2024 International Conference on Emerging Smart Computing and Informatics (ESCI)</cTitle>: T1 <Title>A Meta-Learner-Integrated Stacking Voting Ensemble Network for Cervical Malignancy Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10497389&Exemplar=1&LAN=DE A1 Wankhade, Kanchan V. A1 Gulame, Mayuresh A1 Khune, Priya A1 Pimpalkar, Aarati A1 Singha, Sneha A1 Kumbhar, Mohini YR 2024 K1 Training K1 Pathology K1 Stacking K1 Data preprocessing K1 Collaboration K1 Data augmentation K1 Proposals K1 Cervical malignancy classification K1 Ensemble learning K1 Transfer learning K1 Stacking ensemble SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ESCI59607.2024.10497389 DO https://doi.org/10.1109/ESCI59607.2024.10497389 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
