Feature Synergy Analysis

Feature Synergy Analysis is a methodological framework within interaction features research that systematically identifies and quantifies the cooperative effects among features in predictive models, distinguishing itself by focusing on emergent performance gains beyond individual feature contributions.

5

Publications

173

Citations

17

Authors

7

Institutions

Publications per year

2017–2026

1

Authors

17

  1. MS
    Max Schmidt

    Audi (Germany), Germany

    1 publications · 17 citations

    1

    h-index

  2. CR
    Chad R. Foster

    Bank of America, United States

    1 publications · 18 citations

    1

    h-index

  3. PL
    Penghui Liu

    Nantong University, China

    1 publications · 20 citations

    1

    h-index

  4. DF
    Daniel Frey

    Massachusetts Institute of Technology, United States

    1 publications · 18 citations

    1

    h-index

  5. BR
    Bodo Röers

    University of Münster, Germany

    1 publications · 17 citations

    1

    h-index

1–5 of 17

Venues

  1. ETRI Journal

    1 publications · 85 citations

    1

    h-index

  2. Journal of Sensory Studies

    1 publications · 33 citations

    1

    h-index

  3. 1

    h-index

  4. Postharvest Biology and Technology

    1 publications · 20 citations

    1

    h-index

  5. Vision Research

    1 publications · 17 citations

    1

    h-index

1–5