Z-score Detection
Z-Score Detection is a statistical outlier identification method that classifies data points as outliers based on their deviation from the mean in terms of standard deviations, typically flagging those with a z-score magnitude exceeding a predefined threshold.
8
Publications
497
Citations
38
Authors
15
Institutions
Publications per year
2017–2026
4
Parents
8
L. Bryan Ray, Stéphane Sockeel, Melissa Soon et al. · Frontiers in Human Neuroscience · 2015 · 69 citations · Full text
Medicine, Neurobiology, Neuroscience +17
Frédéric Dallaire, Cameron Slorach, Timothy J. Bradley et al. · Journal of the American Society of Echocardiography · 2016 · 67 citations
Medicine, Cardiology, Pediatrics +16
1–5 of 8
38
2
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2
h-index
2
h-index
1
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1
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1–5 of 38
15
University of Hradec Králové
Hradec Králové, Czechia
2 h-index
7 publications
550 citations

Ahmadu Bello University
Zaria, Nigeria
2 h-index
2 publications
159 citations

University of Toronto
Toronto, Canada
1 h-index
10 publications
670 citations
Columbia University
New York, United States
1 h-index
1 publications
38 citations
Harvard University
Cambridge, United States
1 h-index
1 publications
38 citations
Université de Montréal
Montreal, Canada
1 h-index
2 publications
138 citations
University of Tennessee at Knoxville
Knoxville, United States
1 h-index
3 publications
72 citations

Centre Hospitalier Universitaire de Sherbrooke
Sherbrooke, Canada
1 h-index
1 publications
67 citations
1–8 of 15
JASE · 2 publications · 105 citations
2
h-index
1 publications · 69 citations
1
h-index
1 publications · 63 citations
1
h-index
1 publications · 73 citations
1
h-index
1 publications · 86 citations
1
h-index
1–5