Change Point Features

Change Point Features is a temporal feature engineering construct that identifies and characterizes abrupt changes in the statistical properties of a time series, distinguishing itself by capturing structural breaks indicative of regime shifts or anomalies within sequential data.

27

Publications

1.1K

Citations

105

Authors

45

Institutions

Publications per year

2017–2026

16

Authors

105

  1. OM
    Okan Mert Katipoğlu

    Erzincan Binali Yıldırım University, Türkiye

    2 publications · 28 citations

    2

    h-index

  2. DD
    D. Dragoni

    Indiana University Bloomington, United States

    1 publications · 100 citations

    1

    h-index

  3. CV
    Christian von Borczyskowski

    Chemnitz University of Technology, Germany

    1 publications · 25 citations

    1

    h-index

  4. YX
    Yuanyuan Xia

    Qingdao University of Science and Technology, China

    1 publications · 18 citations

    1

    h-index

  5. TL
    Tiejian Li

    Tsinghua University, China

    1 publications · 27 citations

    1

    h-index

1–5 of 105

Venues

  1. PLoS ONE

    1 publications · 21 citations

    1

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  2. 1

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  3. arXiv (Cornell University)

    Repository · 1 publications · 143 citations

    1

    h-index

  4. Complexity

    1 publications · 38 citations

    1

    h-index

  5. 1

    h-index

1–5