Data Resampling

Data Resampling is a data transformation technique that involves systematically重新selecting or modifying the instances within a dataset to alter its distribution, typically to address class imbalance or to improve model robustness through repeated sampling with or without replacement.

637

Publications

44.6K

Citations

1.9K

Authors

831

Institutions

Publications per year

2017–2026

283

Authors

1.9K

  1. PM
    Petar M. Djurić

    Stony Brook University, United States

    5 publications · 264 citations

    5

    h-index

  2. PB
    P.M.T. Broersen

    Delft University of Technology, Netherlands

    5 publications · 83 citations

    5

    h-index

  3. PB
    Paula Branco

    University of Ottawa, Canada

    3 publications · 243 citations

    4

    h-index

  4. MV
    Mark V. Pauly

    University of Pennsylvania, United States

    4 publications · 888 citations

    4

    h-index

  5. MB
    Michael Beetz

    Technical University of Munich, Germany

    3 publications · 286 citations

    4

    h-index

1–5 of 1.9K

Venues

  1. IEEE Access

    18 publications · 1.4K citations

    15

    h-index

  2. arXiv (Cornell University)

    Repository · 10 publications · 461 citations

    10

    h-index

  3. Expert Systems with Applications

    7 publications · 290 citations

    8

    h-index

  4. PLoS ONE

    8 publications · 241 citations

    8

    h-index

  5. Knowledge-Based Systems

    8 publications · 591 citations

    8

    h-index

1–5