Feature Stability Analysis

Feature Stability Analysis is a methodological framework within feature engineering that evaluates the consistency of feature values across varying datasets or temporal intervals to assess their reliability and robustness for model generalization.

72

Publications

4.7K

Citations

197

Authors

114

Institutions

Publications per year

2017–2026

33

Authors

197

  1. TM
    Taghi M. Khoshgoftaar

    Florida Atlantic University, United States

    8 publications · 175 citations

    8

    h-index

  2. RW
    Randall Wald

    Florida Atlantic University, United States

    7 publications · 164 citations

    7

    h-index

  3. HW
    Huanjing Wang

    Western Kentucky University, United States

    5 publications · 104 citations

    5

    h-index

  4. AN
    Amri Napolitano

    Florida Atlantic University, United States

    4 publications · 82 citations

    4

    h-index

  5. BP
    Barbara Pes

    University of Cagliari, Italy

    3 publications · 363 citations

    3

    h-index

1–5 of 197

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 71 citations

    3

    h-index

  2. Data Mining and Knowledge Discovery

    2 publications · 90 citations

    2

    h-index

  3. PLoS ONE

    2 publications · 109 citations

    2

    h-index

  4. Bioinformatics

    2 publications · 249 citations

    2

    h-index

  5. IEEE Access

    2 publications · 52 citations

    2

    h-index

1–5