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
Variable importance analysis with interpretable machine lea..:
Ning, Yilin
;
Li, Siqi
;
Ng, Yih Yng
...
PLOS Digital Health. 3 (2024) 7 - p. e0000542 , 2024
Link:
https://doi.org/10.1371/journal.pdig.0000542
RT Journal T1
Variable importance analysis with interpretable machine learning for fair risk prediction
UL https://suche.suub.uni-bremen.de/peid=cr-10.1371_journal.pdig.0000542&Exemplar=1&LAN=DE A1 Ning, Yilin A1 Li, Siqi A1 Ng, Yih Yng A1 Chia, Michael Yih Chong A1 Gan, Han Nee A1 Tiah, Ling A1 Mao, Desmond Renhao A1 Ng, Wei Ming A1 Leong, Benjamin Sieu-Hon A1 Doctor, Nausheen A1 Ong, Marcus Eng Hock A1 Liu, Nan A1 Kuo, Po-Chih PB Public Library of Science (PLoS) YR 2024 SN 2767-3170 JF PLOS Digital Health VO 3 IS 7 SP e0000542 LK http://dx.doi.org/https://doi.org/10.1371/journal.pdig.0000542 DO https://doi.org/10.1371/journal.pdig.0000542 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)