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

Authors

38

  1. PP
    Pavel Pražák

    University of Hradec Králové, Czechia

    2 publications · 159 citations

    2

    h-index

  2. AS
    Abdulmalik Shehu Yaro

    Ahmadu Bello University, Nigeria

    2 publications · 159 citations

    2

    h-index

  3. FM
    Filip Malý

    University of Hradec Králové, Czechia

    2 publications · 159 citations

    2

    h-index

  4. AM
    Adrian M. Owen

    Western University, Canada

    1 publications · 69 citations

    1

    h-index

  5. DD
    Denis Daneman

    Hospital for Sick Children, Canada

    1 publications · 67 citations

    1

    h-index

1–5 of 38

Venues

  1. Journal of the American Society of Echocardiography

    JASE · 2 publications · 105 citations

    2

    h-index

  2. Frontiers in Human Neuroscience

    1 publications · 69 citations

    1

    h-index

  3. Analytical Methods

    1 publications · 63 citations

    1

    h-index

  4. IEEE Access

    1 publications · 73 citations

    1

    h-index

  5. Applied Sciences

    1 publications · 86 citations

    1

    h-index

1–5