Interaction Feature Design

Interaction Feature Design is a domain-specific feature design approach that systematically models and integrates cross-variable interactions to capture latent synergies or dependencies among features within a predictive or analytical framework.

32

Publications

989

Citations

101

Authors

50

Institutions

Publications per year

2017–2026

8

Authors

101

  1. LL
    Luigi Logrippo

    University of Ottawa, Canada

    2 publications · 50 citations

    2

    h-index

  2. PZ
    Pamela Zave

    AT&T (United States), United States

    2 publications · 58 citations

    2

    h-index

  3. YW
    Y.S. Wong

    National University of Singapore, Singapore

    1 publications · 112 citations

    1

    h-index

  4. PD
    Petre Dini

    Cisco Systems (China), China

    1 publications · 18 citations

    1

    h-index

  5. TZ
    Tian Zheng

    Columbia University, United States

    1 publications · 52 citations

    1

    h-index

1–5 of 101

Venues

  1. FIW

    4 publications · 79 citations

    4

    h-index

  2. Computer Networks

    3 publications · 72 citations

    3

    h-index

  3. Computer-Aided Design

    2 publications · 132 citations

    2

    h-index

  4. Computer

    1 publications · 35 citations

    1

    h-index

  5. Bioinformatics

    1 publications · 52 citations

    1

    h-index

1–5