Poster (Scientific congresses, symposiums and conference proceedings)
Predicting Vulnerability to Poverty with Machine Learning
Taye, Alemayehu; d'Ambrosio, Conchita
2021DTU DRIVEN Colloquium
 

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Keywords :
Machine Learning; Vulnerability; Poverty; Wellbeing
Disciplines :
Business & economic sciences: Multidisciplinary, general & others
Author, co-author :
Taye, Alemayehu ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)
d'Ambrosio, Conchita ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)
External co-authors :
no
Language :
English
Title :
Predicting Vulnerability to Poverty with Machine Learning
Publication date :
21 May 2021
Event name :
DTU DRIVEN Colloquium
Event organizer :
Andreas Zilian
Event place :
University of Luxembourg, Luxembourg
Event date :
21/05/2021
Focus Area :
Computational Sciences
FnR Project :
FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian
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since 01 July 2021

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