Automatic Interaction Discovery

Automatic Interaction Discovery is a computational method that autonomously identifies meaningful patterns of interplay between variables or components within a system without requiring explicit prior specification by the user.

65

Publications

6K

Citations

229

Authors

112

Institutions

Publications per year

2017–2026

21

Authors

229

  1. AP
    Adam Porter

    University of Maryland, College Park, United States

    4 publications · 86 citations

    4

    h-index

  2. JS
    Jeffrey S. Foster

    University of Maryland, College Park, United States

    4 publications · 86 citations

    4

    h-index

  3. CS
    Charles Song

    University of Maryland, College Park, United States

    3 publications · 66 citations

    3

    h-index

  4. DG
    Daniel Gática-Pérez

    Idiap Research Institute, Switzerland

    2 publications · 137 citations

    2

    h-index

  5. SA
    Sven Apel

    University of Passau, Germany

    2 publications · 194 citations

    2

    h-index

1–5 of 229

Venues

  1. Journal of Sports Sciences

    2 publications · 187 citations

    2

    h-index

  2. BMC Bioinformatics

    2 publications · 96 citations

    2

    h-index

  3. Journal of Evaluation in Clinical Practice

    1 publications · 22 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Marketing Management

    MM · 1 publications · 30 citations

    1

    h-index

1–5