A review of explainable AI in the satellite data, deep machine learning, and human poverty domain.
- DOI
- 10.1016/j.patter.2022.100600
- Published
- 2022 Oct 14
- Container
- Patterns (New York, N.Y.)
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.patter.2022.100600,
title = {A review of explainable AI in the satellite data, deep machine learning, and human poverty domain.},
author = {Hall O and Ohlsson M and Rögnvaldsson T},
year = {2022},
journal = {Patterns (New York, N.Y.)},
doi = {10.1016/j.patter.2022.100600},
url = {https://doi.org/10.1016/j.patter.2022.100600}
}RIS
TY - JOUR TI - A review of explainable AI in the satellite data, deep machine learning, and human poverty domain. AU - Hall O AU - Ohlsson M AU - Rögnvaldsson T PY - 2022 JO - Patterns (New York, N.Y.) DO - 10.1016/j.patter.2022.100600 UR - https://doi.org/10.1016/j.patter.2022.100600 ER -
APA
O, H., M, O., & T, R. (2022). A review of explainable AI in the satellite data, deep machine learning, and human poverty domain.. Patterns (New York, N.Y.). https://doi.org/10.1016/j.patter.2022.100600
Source records
- pubmed · retrieved 2026-09-25T07:24:30.613Z