Nonlinear Feature Interactions

Nonlinear Feature Interactions is a type of feature interaction in machine learning models characterized by the presence of higher-order, non-additive relationships between input variables that cannot be captured by linear combinations alone.

73

Publications

7.2K

Citations

265

Authors

127

Institutions

Publications per year

2017–2026

41

Authors

265

  1. JH
    Jeremiah Harmsen

    Rensselaer Polytechnic Institute, United States

    2 publications · 3.6K citations

    2

    h-index

  2. GA
    Glen Anderson

    Google (United States), United States

    2 publications · 3.6K citations

    2

    h-index

  3. KN
    Kevin N. O’Connor

    University of California, Davis, United States

    2 publications · 108 citations

    2

    h-index

  4. RT
    Ruiming Tang

    Huawei Technologies (China), China

    2 publications · 66 citations

    2

    h-index

  5. LK
    Levent Koç

    Google (United States), United States

    2 publications · 3.6K citations

    2

    h-index

1–5 of 265

Venues

  1. FIW

    3 publications · 115 citations

    3

    h-index

  2. IEEE Access

    2 publications · 30 citations

    2

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 33 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 368 citations

    2

    h-index

  5. 2

    h-index

1–5