Sliding Window Features

Sliding Window Features is a time series feature engineering method that extracts summary statistics or patterns from a fixed-length, temporally ordered subsequence of observations by successively advancing the window position through the series.

116

Publications

6K

Citations

442

Authors

193

Institutions

Publications per year

2017–2026

67

Authors

442

  1. JZ
    Jiantao Zhou

    University of Macau, Macao SAR China

    4 publications · 1.1K citations

    4

    h-index

  2. XW
    Xintao Wang

    Tencent (China), China

    4 publications · 1.1K citations

    4

    h-index

  3. XC
    Xiangyu Chen

    University of Macau, Macao SAR China

    3 publications · 1.1K citations

    3

    h-index

  4. CD
    Chao Dong

    Shenzhen Institutes of Advanced Technology, China

    2 publications · 1K citations

    2

    h-index

  5. AK
    Anton Kummert

    University of Wuppertal, Germany

    2 publications · 96 citations

    2

    h-index

1–5 of 442

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 233 citations

    7

    h-index

  2. IEEE Access

    5 publications · 139 citations

    5

    h-index

  3. Sensors

    5 publications · 318 citations

    5

    h-index

  4. IEEE Transactions on Industrial Informatics

    2 publications · 45 citations

    2

    h-index

  5. IEEE Sensors Journal

    2 publications · 82 citations

    2

    h-index

1–5