Selective Prediction
Selective Prediction is a predictive modeling approach that, unlike conventional methods which issue predictions for all inputs, selectively refrains from predicting on uncertain or low-confidence instances, thereby improving overall accuracy at the cost of coverage.
21
Publications
563
Citations
88
Authors
32
Institutions
Publications per year
2017–2026
10
Variants
Classification With A Reject OptionReject Option Classification
Parents
21
Selective prediction of interaction sites in protein structures with THEMATICS
Ying Wei, Jaeju Ko, Leonel F. Murga et al. · BMC Bioinformatics · 2007 · 74 citations · Full text
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32
Google (United States)
Mountain View, United States
2 h-index
9 publications
212 citations
Arizona State University
Tempe, United States
2 h-index
6 publications
132 citations
Flatiron Health (United States)
New York, United States
1 h-index
1 publications
12 citations

Taras Shevchenko National University of Kyiv
Kyiv, Ukraine
1 h-index
1 publications
36 citations
University of Washington
Seattle, United States
1 h-index
2 publications
24 citations

Beijing University of Technology
Beijing, China
1 h-index
2 publications
28 citations
University of California, San Francisco
San Francisco, United States
1 h-index
1 publications
12 citations

Brandeis University
Waltham, United States
1 h-index
1 publications
74 citations
1–8 of 32
Repository · 3 publications · 112 citations
3
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Conference · 1 publications · 30 citations
1
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1 publications · 11 citations
1
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1 publications · 26 citations
1
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EEJET · 1 publications · 36 citations
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