Feature Crosses

Feature Crosses is a polynomial feature engineering technique that belongs to the class of feature transformation methods, distinguished by its creation of new synthetic features through the multiplicative combination of two or more existing features to capture nonlinear interactions in data.

7

Publications

780

Citations

23

Authors

9

Institutions

Publications per year

2017–2026

4

Authors

23

  1. MB
    Michael B. Lewis

    Cardiff University, United Kingdom

    1 publications · 47 citations

    1

    h-index

  2. YC
    Yuqiang Chen

    Hong Kong University of Science and Technology, Hong Kong SAR China

    1 publications · 95 citations

    1

    h-index

  3. JC
    Judith Calvert

    Southern Connecticut State University, United States

    1 publications · 52 citations

    1

    h-index

  4. HZ
    Hao Zhou

    UNSW Sydney, Australia

    1 publications · 95 citations

    1

    h-index

  5. DZ
    Derek Zhiyuan Cheng

    Google (United States), United States

    1 publications · 13 citations

    1

    h-index

1–5 of 23

Venues

  1. Brittonia

    1 publications · 27 citations

    1

    h-index

  2. Visual Cognition

    1 publications · 47 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 13 citations

    1

    h-index

  4. The Art Bulletin

    1 publications · 52 citations

    1

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 39 citations

    1

    h-index

1–5