Domain-specific Feature Construction

Domain-Specific Feature Construction is a time series feature engineering method that incorporates domain knowledge to derive informative and interpretable features from raw temporal data, distinguishing itself from generic feature extraction techniques by its reliance on contextual, application-specific principles.

29

Publications

1K

Citations

96

Authors

39

Institutions

Publications per year

2017–2026

18

Authors

96

  1. DV
    Daniel Vassallo

    University of Notre Dame, United States

    2 publications · 53 citations

    2

    h-index

  2. HJ
    Harindra J. S. Fernando

    University of Notre Dame, United States

    2 publications · 53 citations

    2

    h-index

  3. RK
    Raghavendra Krishnamurthy

    Pacific Northwest National Laboratory, United States

    2 publications · 53 citations

    2

    h-index

  4. FD
    Fernando D. Garcia

    Universidade Estadual Paulista (Unesp), Brazil

    1 publications · 29 citations

    1

    h-index

  5. MY
    Mang Ye

    Wuhan University, China

    1 publications · 18 citations

    1

    h-index

1–5 of 96

Venues

  1. Advanced Engineering Informatics

    2 publications · 51 citations

    2

    h-index

  2. Wind energy science

    WES · 1 publications · 43 citations

    1

    h-index

  3. Computational Brain & Behavior

    1 publications · 10 citations

    1

    h-index

  4. PLoS ONE

    1 publications · 38 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 14 citations

    1

    h-index

1–5