Feature Reliability Analysis

Feature Reliability Analysis is a methodological framework within feature stability analysis that systematically assesses the consistency and reproducibility of feature importance or selection across varying conditions, datasets, or models to determine the trustworthiness of features in predictive or explanatory contexts.

9

Publications

554

Citations

44

Authors

18

Institutions

Publications per year

2017–2026

5

Authors

44

  1. TY
    Tianwei Yu

    Emory University, United States

    1 publications · 30 citations

    1

    h-index

  2. CA
    Christoph Ackermann

    St. Claraspital, Switzerland

    1 publications · 203 citations

    1

    h-index

  3. ET
    E. Tessa Hedley‐Whyte

    Massachusetts General Hospital, United States

    1 publications · 26 citations

    1

    h-index

  4. YK
    Yin Kin Cheung

    Hong Kong Sanatorium and Hospital, Hong Kong SAR China

    1 publications · 35 citations

    1

    h-index

  5. KF
    Kieran Foley

    Cardiff University, United Kingdom

    1 publications · 82 citations

    1

    h-index

1–5 of 44

Venues

  1. Scientific Reports

    2 publications · 112 citations

    2

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. ISA Transactions

    1 publications · 26 citations

    1

    h-index

  5. European Radiology

    1 publications · 203 citations

    1

    h-index

1–5