Anomaly Detection Thresholds

Anomaly Detection Thresholds is a decision boundary mechanism in anomaly detection systems that distinguishes normal from anomalous data instances by defining the critical value beyond which a score or metric is classified as indicative of an anomaly.

29

Publications

940

Citations

120

Authors

63

Institutions

Publications per year

2017–2026

17

Authors

120

  1. HL
    Haobo Li

    Aerospace Information Research Institute, China

    1 publications · 52 citations

    1

    h-index

  2. MQ
    Muhammad Qasim Ali

    University of North Carolina at Charlotte, United States

    1 publications · 27 citations

    1

    h-index

  3. XZ
    Xinyun Zhu

    Third Affiliated Hospital of Zhengzhou University, China

    1 publications · 23 citations

    1

    h-index

  4. SC
    Suelynn Choy

    RMIT University, Australia

    1 publications · 52 citations

    1

    h-index

  5. SK
    S. Kailas

    Bhabha Atomic Research Centre, India

    1 publications · 18 citations

    1

    h-index

1–5 of 120

Venues

  1. Nuclear Physics A

    2 publications · 59 citations

    2

    h-index

  2. Sensors

    2 publications · 47 citations

    2

    h-index

  3. Computers & Security

    1 publications · 15 citations

    1

    h-index

  4. ACM Transactions on Information and System Security

    TISSEC · 1 publications · 27 citations

    1

    h-index

  5. Electronics

    1 publications · 13 citations

    1

    h-index

1–5