Proxy Data Selection
Proxy Data Selection is a methodological process in which indirect, observable data are systematically chosen to serve as substitutes for direct measurements in reconstructing or representing unobserved target variables within background systems.
39
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2.2K
Citations
116
Authors
89
Institutions
Publications per year
2017–2026
16
Parents
39
The Ethics of Emotion in Artificial Intelligence Systems
Luke Stark, Jesse Hoey · 2021 · 164 citations · Full text
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Capital Medical University
Beijing, China
2 h-index
2 publications
52 citations

UNSW Sydney
Sydney, Australia
2 h-index
2 publications
534 citations

Polish Academy of Sciences
Warsaw, Poland
2 h-index
4 publications
49 citations

Western University
London, Canada
2 h-index
2 publications
178 citations
Indiana University
Bloomington, United States
2 h-index
4 publications
1.1K citations
University at Buffalo, State University of New York
Buffalo, United States
2 h-index
2 publications
52 citations

Buffalo State University
Buffalo, United States
2 h-index
2 publications
52 citations
York University
York, United States
2 h-index
2 publications
52 citations
1–8 of 89
2 publications · 48 citations
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2 publications · 58 citations
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1 publications · 56 citations
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BAMS · 1 publications · 41 citations
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SWSC · 1 publications · 63 citations
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