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
Poverty rate prediction using multi-modal survey and earth ..:
, In:
Proceedings of the 6th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies
,
Fobi, Simone
;
Cardona, Manuel
;
Collins, Elliott
... - p. 23-29 , 2023
Link:
https://dl.acm.org/doi/10.1145/3588001.3609359
RT T1 <cTitle>Proceedings of the 6th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies</cTitle>: T1 <Title>Poverty rate prediction using multi-modal survey and earth observation data</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3609359&Exemplar=1&LAN=DE A1 Fobi, Simone A1 Cardona, Manuel A1 Collins, Elliott A1 Robinson, Caleb A1 Ortiz, Anthony A1 Sederholm, Tina A1 Dodhia, Rahul A1 Ferres, Juan Lavista PB ACM YR 2023 K1 machine learning K1 poverty rate K1 proxy-means test K1 satellite imagery K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Classification and regression trees K1 Learning paradigms K1 Supervised learning K1 Artificial intelligence K1 Computer vision K1 Computer vision representations K1 Image representations SP 23 OP 29 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3588001.3609359 DO https://dl.acm.org/doi/10.1145/3588001.3609359 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
