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
Interpretable Machine Learning for COVID-19: An Empirical S..:
Wu, Han
;
Ruan, Wenjie
;
Wang, Jiangtao
...
IEEE Transactions on Artificial Intelligence. 4 (2023) 4 - p. 764-777 , 2023
Link:
https://doi.org/10.1109/tai.2021.3092698
RT Journal T1
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tai.2021.3092698&Exemplar=1&LAN=DE A1 Wu, Han A1 Ruan, Wenjie A1 Wang, Jiangtao A1 Zheng, Dingchang A1 Liu, Bei A1 Geng, Yayuan A1 Chai, Xiangfei A1 Chen, Jian A1 Li, Kunwei A1 Li, Shaolin A1 Helal, Sumi PB Institute of Electrical and Electronics Engineers (IEEE) YR 2023 SN 2691-4581 JF IEEE Transactions on Artificial Intelligence VO 4 IS 4 SP 764 OP 777 LK http://dx.doi.org/https://doi.org/10.1109/tai.2021.3092698 DO https://doi.org/10.1109/tai.2021.3092698 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)