Model Performance Monitoring

Model Performance Monitoring is the systematic process of tracking a model's operational accuracy, stability, and reliability over time against predefined performance benchmarks to detect degradation, drift, or anomalies in its predictive behavior.

88

Publications

6.4K

Citations

847

Authors

190

Institutions

Publications per year

2017–2026

60

Authors

847

  1. BS
    Bo Song

    Drexel University, United States

    2 publications · 51 citations

    2

    h-index

  2. JG
    Jake Grigsby

    University of Virginia, United States

    2 publications · 595 citations

    2

    h-index

  3. DK
    Douwe Kiela

    Meta (Israel), Israel

    2 publications · 199 citations

    2

    h-index

  4. DK
    D. Koch

    Goddard Institute for Space Studies, United States

    2 publications · 196 citations

    2

    h-index

  5. JH
    Jesper Heile Christensen

    Aarhus University, Denmark

    2 publications · 196 citations

    2

    h-index

1–5 of 847

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 978 citations

    10

    h-index

  2. 3

    h-index

  3. Expert Systems with Applications

    2 publications · 124 citations

    2

    h-index

  4. Geoscientific model development

    2 publications · 89 citations

    2

    h-index

  5. Applied and Computational Engineering

    2 publications · 51 citations

    2

    h-index

1–5