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A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty

A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty

30 May 2024
Kazuki Sakamoto
Connor Jerzak
Adel Daoud
ArXivPDFHTML

Papers citing "A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty"

4 / 4 papers shown
Title
Causality-informed Rapid Post-hurricane Building Damage Detection in
  Large Scale from InSAR Imagery
Causality-informed Rapid Post-hurricane Building Damage Detection in Large Scale from InSAR Imagery
Chenguang Wang
Yepeng Liu
Xiaojian Zhang
Xuechun Li
Vladimir Paramygin
Arthriya Subgranon
Peter Sheng
Xilei Zhao
Susu Xu
22
12
0
02 Oct 2023
A Review of Generalizability and Transportability
A Review of Generalizability and Transportability
Irina Degtiar
Sherri Rose
CML
23
202
0
23 Feb 2021
A Generalizable and Accessible Approach to Machine Learning with Global
  Satellite Imagery
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery
Esther Rolf
J. Proctor
T. Carleton
I. Bolliger
Vaishaal Shankar
Miyabi Ishihara
Benjamin Recht
S. Hsiang
80
116
0
16 Oct 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
420
15,438
0
02 Nov 2015
1