Bayesian Late Fusion

Bayesian Late Fusion is a late fusion method that employs Bayesian inference to probabilistically integrate outputs from multiple models or modalities by updating beliefs based on evidence, distinguishing itself through its principled treatment of uncertainty and prior knowledge in the fusion process.

2

Publications

55

Citations

7

Authors

4

Institutions

Publications per year

2017–2026

1

Authors

7

  1. VP
    Vicente Peruffo Minotto

    Universidade Federal do Rio Grande do Sul, Brazil

    1 publications · 29 citations

    1

    h-index

  2. JS
    Jacob Scharcanski

    Universidade Federal do Rio Grande do Sul, Brazil

    1 publications · 29 citations

    1

    h-index

  3. BD
    Bruno Degardin

    University of Beira Interior, Portugal

    1 publications · 26 citations

    1

    h-index

  4. CB
    Carlos B. O. Lopes

    Universidade Federal do Rio Grande do Sul, Brazil

    1 publications · 29 citations

    1

    h-index

  5. CR
    Cláudio R. Jung

    Universidade Federal do Rio Grande do Sul, Brazil

    1 publications · 29 citations

    1

    h-index

1–5 of 7

Venues

  1. 1

    h-index

1–1