Beta Calibration

Beta Calibration is a probabilistic calibration method that refines predictive probability estimates by modeling the output scores as samples from a beta distribution, thereby enabling more accurate and reliable uncertainty quantification in classification tasks.

12

Publications

695

Citations

31

Authors

24

Institutions

Publications per year

2017–2026

5

Authors

31

  1. MK
    Meelis Kull

    University of Tartu, Estonia

    4 publications · 373 citations

    4

    h-index

  2. TM
    Telmo M. Silva Filho

    Universidade Federal da Paraíba, Brazil

    4 publications · 373 citations

    4

    h-index

  3. PF
    Peter Flach

    University of Bristol, United Kingdom

    4 publications · 373 citations

    4

    h-index

  4. MP
    Miquel Perelló-Nieto

    University of Bristol, United Kingdom

    2 publications · 176 citations

    2

    h-index

  5. HS
    Hao Song

    University of Bristol, United Kingdom

    2 publications · 176 citations

    2

    h-index

1–5 of 31

Venues

  1. Radiation Measurements

    2 publications · 236 citations

    2

    h-index

  2. Bristol Research (University of Bristol)

    Repository · 2 publications · 106 citations

    2

    h-index

  3. Archaeometry

    1 publications · 11 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 164 citations

    1

    h-index

  5. Ancient TL

    1 publications · 14 citations

    1

    h-index

1–5