Metric Robustness

Metric Robustness is a property of a performance metric that characterizes its ability to maintain consistent and reliable measurement outcomes under varying conditions, model perturbations, or data distribution shifts, thereby distinguishing it from metrics that are sensitive to such variations.

19

Publications

1.1K

Citations

41

Authors

23

Institutions

Publications per year

2017–2026

4

Authors

41

  1. JK
    Jong‐Kook Kim

    Korea University, South Korea

    2 publications · 235 citations

    2

    h-index

  2. GM
    Gene McDaniel

    Palo Alto Research Center, United States

    2 publications · 30 citations

    2

    h-index

  3. SA
    Shoukat Ali

    Purdue University West Lafayette, United States

    2 publications · 235 citations

    2

    h-index

  4. HJ
    Howard Jay Siegel

    Colorado State University, United States

    2 publications · 235 citations

    2

    h-index

  5. AA
    Anthony A. Maciejewski

    Colorado State University, United States

    2 publications · 235 citations

    2

    h-index

1–5 of 41

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 188 citations

    1

    h-index

  2. Psychometrika

    1 publications · 157 citations

    1

    h-index

  3. IEEE Design and Test

    1 publications · 26 citations

    1

    h-index

  4. Speech Communication

    1 publications · 26 citations

    1

    h-index

  5. Neural Information Processing Systems

    Conference · 1 publications · 120 citations

    1

    h-index

1–5