Feature Robustness Evaluation

Feature Robustness Evaluation is a methodological framework within feature stability analysis that systematically assesses the sensitivity and consistency of feature representations under perturbations, thereby distinguishing it by its focus on resilience to variations in input conditions or model configurations.

55

Publications

3.3K

Citations

259

Authors

114

Institutions

Publications per year

2017–2026

41

Authors

259

  1. TM
    Taghi M. Khoshgoftaar

    Florida Atlantic University, United States

    3 publications · 41 citations

    3

    h-index

  2. RW
    Randall Wald

    Florida Atlantic University, United States

    2 publications · 28 citations

    2

    h-index

  3. ES
    Evis Sala

    University of Cambridge, United Kingdom

    2 publications · 110 citations

    2

    h-index

  4. HW
    Huanjing Wang

    Western Kentucky University, United States

    2 publications · 28 citations

    2

    h-index

  5. LR
    Leonardo Rundo

    University of Cambridge, United Kingdom

    2 publications · 110 citations

    2

    h-index

1–5 of 259

Venues

  1. Scientific Reports

    4 publications · 435 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 477 citations

    4

    h-index

  3. Frontiers in Oncology

    1 publications · 36 citations

    1

    h-index

  4. Sensors and Actuators B Chemical

    1 publications · 18 citations

    1

    h-index

  5. IET Biometrics

    BMT · 1 publications · 89 citations

    1

    h-index

1–5