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 framework for grassroots research collaboration in machin..:
Currin, Christopher Brian
;
Asiedu, Mercy Nyamewaa
;
Fourie, Chris
...
doi:10.5281/zenodo.7837848. , 2023
Link:
https://zenodo.org/record/7846597
RT Journal T1
A framework for grassroots research collaboration in machine learning and global health
UL https://suche.suub.uni-bremen.de/peid=base-ftzenodo:oai:zenodo.org:7846597&Exemplar=1&LAN=DE A1 Currin, Christopher Brian A1 Asiedu, Mercy Nyamewaa A1 Fourie, Chris A1 Rosman, Benjamin A1 Turki, Houcemeddine A1 Tonja, Atnafu Lambebo A1 Abbott, Jade A1 Ajala, Marvellous A1 Adedayo, Sadiq Adewale A1 Emezue, Chris Chinenye A1 Daphne Machangara YR 2023 K1 Participatory Research K1 Machine Learning K1 Global Health K1 Africa JF doi:10.5281/zenodo.7837848 LK http://dx.doi.org/https://zenodo.org/record/7846597 DO https://zenodo.org/record/7846597 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)