Outlier Flagging
Outlier Flagging is a methodological procedure in data preprocessing that identifies and marks individual data points as potential outliers based on their deviation from the expected pattern or distribution of the dataset.
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2.2K
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86
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2017–2026
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Outlier detection by active learning
Naoki Abe, Bianca Zadrozny, John Langford · 2006 · 329 citations
How Significant is a Boxplot Outlier?
Robert J. MacG. Dawson · Journal of Statistics Education · 2011 · 215 citations · Full text
Robust principal component analysis for accurate outlier sample detection in RNA-Seq data
Xiaoying Chen, Bo Zhang, Ting Wang et al. · BMC Bioinformatics · 2020 · 117 citations · Full text
Gad Segal, Amitai Segev, Adi Brom et al. · Journal of the American Medical Informatics Association · 2019 · 110 citations · Full text
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Washington University in St. Louis
St Louis, United States
2 h-index
14 publications
738 citations
Alberta Health Services
Edmonton, Canada
2 h-index
3 publications
216 citations

University of Calgary
Calgary, Canada
2 h-index
3 publications
216 citations
Tobacco Research Institute
Qingdao, China
1 h-index
2 publications
56 citations
Duke Medical Center
Durham, United States
1 h-index
3 publications
117 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
1 h-index
1 publications
52 citations
Lahey Hospital and Medical Center
Burlington, United States
1 h-index
1 publications
60 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
1 h-index
1 publications
329 citations
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Repository · 2 publications · 119 citations
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2 publications · 132 citations
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2 publications · 114 citations
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1 publications · 29 citations
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FGCS · 1 publications · 14 citations
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