Temporal Balance

Temporal Balance is a methodological framework within ensemble learning that ensures proportional representation of predictions across temporal intervals by weighting base learners according to their performance stability over time, thereby distinguishing it from static or accuracy-biased ensemble strategies.

17

Publications

584

Citations

78

Authors

39

Institutions

Publications per year

2017–2026

10

Authors

78

  1. JW
    Joanna Witowska

    University of Warsaw, Poland

    1 publications · 51 citations

    1

    h-index

  2. TN
    Thang N. Dinh

    Virginia Commonwealth University, United States

    1 publications · 152 citations

    1

    h-index

  3. ML
    Mathilde Lefebvre

    Inserm, France

    1 publications · 19 citations

    1

    h-index

  4. ZG
    Ziyu Guan

    Northwest University, China

    1 publications · 31 citations

    1

    h-index

  5. CF
    Colleen F. Kelley

    Emory University, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 78

Venues

  1. Science Advances

    1 publications · 19 citations

    1

    h-index

  2. Justitiële verkenningen

    JV · 1 publications · 10 citations

    1

    h-index

  3. Human Brain Mapping

    1 publications · 72 citations

    1

    h-index

  4. Personality and Individual Differences

    1 publications · 22 citations

    1

    h-index

  5. Knowledge-Based Systems

    1 publications · 31 citations

    1

    h-index

1–5