Interpreting wealth distribution via poverty map inference using multimodal data-Reference-Cited by-同舟云学术

Interpreting wealth distribution via poverty map inference using multimodal data

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2023
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Author:

Espín-Noboa Lisette¹^ORCID,Kertész János¹^ORCID,Karsai Márton²^ORCID

Affiliation:

1. Central European University, Austria and Complexity Science Hub Vienna, Austria

2. Central European University, Austria and Rènyi Institute of Mathematics, Hungary

Funder

SoBigData++ H2020

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543507.3583862

Reference69 articles.

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2. Interpretable socioeconomic status inference from aerial imagery through urban patterns

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4. Lishan Adam and Michael Minges. 2018. ICTs LDCs and the SDGs: Achieving Universal and Affordable Internet in the Least Developed Countries. 128 pages. Lishan Adam and Michael Minges. 2018. ICTs LDCs and the SDGs: Achieving Universal and Affordable Internet in the Least Developed Countries. 128 pages.

5. Areppim AG. 2017. Mobile Phone Market Forecast. https://stats.areppim.com/stats/stats_mobilex2017.htm. Accessed: 2022-02-02. Areppim AG. 2017. Mobile Phone Market Forecast. https://stats.areppim.com/stats/stats_mobilex2017.htm. Accessed: 2022-02-02.

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