Temporal-spatial Feature Engineering

Temporal-Spatial Feature Engineering is a subclass of geospatial feature engineering that specifically integrates temporal dynamics and spatial dependencies to construct predictive features from spatio-temporally indexed data.

29

Publications

969

Citations

138

Authors

55

Institutions

Publications per year

2017–2026

28

Authors

138

  1. CY
    Chunhua Yang

    Central South University, China

    2 publications · 51 citations

    2

    h-index

  2. LN
    Liu Na

    Dalian Polytechnic University, China

    1 publications · 15 citations

    1

    h-index

  3. ZO
    Zhenchao Ouyang

    Beihang University, China

    1 publications · 34 citations

    1

    h-index

  4. KL
    Kin‐Man Lam

    Hong Kong Polytechnic University, Hong Kong SAR China

    1 publications · 13 citations

    1

    h-index

  5. SI
    Sasi Inguva

    Google (United States), United States

    1 publications · 21 citations

    1

    h-index

1–5 of 138

Venues

  1. Renewable Energy

    2 publications · 48 citations

    2

    h-index

  2. IEEE Access

    2 publications · 24 citations

    2

    h-index

  3. Neurocomputing

    2 publications · 60 citations

    2

    h-index

  4. PLoS ONE

    1 publications · 25 citations

    1

    h-index

  5. Signal Image and Video Processing

    1 publications · 21 citations

    1

    h-index

1–5