Temporal Interaction Features

Temporal Interaction Features is a temporal feature engineering method that captures dynamic relationships between time-dependent variables by modeling their interdependent patterns across multiple temporal scales and lags.

98

Publications

4.4K

Citations

328

Authors

168

Institutions

Publications per year

2017–2026

49

Authors

328

  1. KC
    Keyan Chen

    Beihang University, China

    2 publications · 99 citations

    2

    h-index

  2. HC
    Hao Chen

    Beihang University, China

    2 publications · 99 citations

    2

    h-index

  3. FH
    Feiyue Huang

    Tencent (China), China

    2 publications · 289 citations

    2

    h-index

  4. DL
    Donghao Luo

    Tencent (China), China

    2 publications · 289 citations

    2

    h-index

  5. HS
    Hans Slabbekoorn

    Leiden University, Netherlands

    2 publications · 60 citations

    2

    h-index

1–5 of 328

Venues

  1. Ethology

    4 publications · 122 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 84 citations

    4

    h-index

  3. Time & Society

    T&S · 3 publications · 74 citations

    3

    h-index

  4. Scientific Reports

    3 publications · 51 citations

    3

    h-index

  5. EPJ Data Science

    2 publications · 69 citations

    2

    h-index

1–5