Anomaly Localization

Anomaly Localization is a methodological framework within anomaly detection in time series that identifies the precise temporal positions or subsequences where anomalous behavior occurs, distinguishing itself from general anomaly detection by focusing on the exact spatial-temporal delineation of anomalies rather than mere detection or classification.

442

Publications

31.2K

Citations

1.5K

Authors

559

Institutions

Publications per year

2017–2026

291

Authors

1.5K

  1. MS
    Mohammad Sabokrou

    Institute for Research in Fundamental Sciences, Iran

    6 publications · 893 citations

    6

    h-index

  2. MF
    Mahmood Fathy

    Iran University of Science and Technology, Iran

    6 publications · 893 citations

    6

    h-index

  3. RK
    Reinhard Klette

    University of Auckland, New Zealand

    5 publications · 696 citations

    5

    h-index

  4. YC
    Yie‐Tarng Chen

    National Taiwan University of Science and Technology, Taiwan

    4 publications · 387 citations

    4

    h-index

  5. WF
    Wen‐Hsien Fang

    National Taiwan University of Science and Technology, Taiwan

    4 publications · 387 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. arXiv (Cornell University)

    Repository · 25 publications · 981 citations

    16

    h-index

  2. Neurocomputing

    16 publications · 696 citations

    14

    h-index

  3. Expert Systems with Applications

    10 publications · 385 citations

    10

    h-index

  4. Multimedia Tools and Applications

    10 publications · 346 citations

    10

    h-index

  5. IEEE Access

    10 publications · 784 citations

    9

    h-index

1–5