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
Optimal number of strong labels for curriculum learning wit..:
Cho, Yongwon
;
Park, Beomhee
;
Lee, Sang Min
...
Computers in Biology and Medicine. 136 (2021) - p. 104750 , 2021
Link:
https://doi.org/10.1016/j.compbiomed.2021.104750
RT Journal T1
Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.compbiomed.2021.104750&Exemplar=1&LAN=DE A1 Cho, Yongwon A1 Park, Beomhee A1 Lee, Sang Min A1 Lee, Kyung Hee A1 Seo, Joon Beom A1 Kim, Namkug PB Elsevier BV YR 2021 SN 0010-4825 JF Computers in Biology and Medicine VO 136 SP 104750 LK http://dx.doi.org/https://doi.org/10.1016/j.compbiomed.2021.104750 DO https://doi.org/10.1016/j.compbiomed.2021.104750 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)