Autocorrelation Features

Autocorrelation Features is a temporal feature engineering construct that quantifies the linear dependence between a time series and its lagged versions over successive time intervals to capture inherent serial patterns.

89

Publications

4K

Citations

239

Authors

129

Institutions

Publications per year

2017–2026

28

Authors

239

  1. QQ
    Qizhe Qu

    University of Electronic Science and Technology of China, China

    3 publications · 158 citations

    3

    h-index

  2. SW
    Shunjun Wei

    University of Electronic Science and Technology of China, China

    3 publications · 158 citations

    3

    h-index

  3. SI
    Shajith Ikbal

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 81 citations

    3

    h-index

  4. MS
    M. Sabarimalai Manikandan

    Indian Institute of Technology Bhubaneswar, India

    2 publications · 61 citations

    2

    h-index

  5. SN
    Samuel N. Stechmann

    University of Wisconsin–Madison, United States

    2 publications · 96 citations

    2

    h-index

1–5 of 239

Venues

  1. Electronics Letters

    2 publications · 52 citations

    2

    h-index

  2. 2

    h-index

  3. Pattern Recognition

    2 publications · 65 citations

    2

    h-index

  4. 2

    h-index

  5. Speech Communication

    2 publications · 103 citations

    2

    h-index

1–5