Feature Interaction Visualization

Feature Interaction Visualization is a visualization technique that specifically represents the interactions among features in a model or dataset, distinguishing itself by depicting how joint variations in input features collectively influence model predictions or system behavior.

7

Publications

99

Citations

23

Authors

9

Institutions

Publications per year

2017–2026

3

Authors

23

  1. RJ
    R. J. A. Buhr

    Carleton University, Canada

    1 publications · 12 citations

    1

    h-index

  2. DA
    Daniel Amyot

    University of Ottawa, Canada

    1 publications · 12 citations

    1

    h-index

  3. SM
    Serge Mankovski

    Mitel (Canada), Canada

    1 publications · 12 citations

    1

    h-index

  4. RY
    Runlong Yu

    University of Science and Technology of China, China

    1 publications · 13 citations

    1

    h-index

  5. OG
    Orla Greevy

    University of Bern, Switzerland

    1 publications · 24 citations

    1

    h-index

1–5 of 23

Venues

  1. arXiv (Cornell University)

    Repository · 1 publications · 10 citations

    1

    h-index

  2. FIW

    1 publications · 12 citations

    1

    h-index

  3. Critical Care Medicine

    1 publications · 11 citations

    1

    h-index

  4. The R Journal

    1 publications · 12 citations

1–5