Credal Networks

Credal Networks is a probabilistic graphical model that extends Bayesian networks by representing uncertainty through sets of probability distributions, allowing for imprecise probabilities and robust reasoning under incomplete or ambiguous statistical information.

41

Publications

1K

Citations

60

Authors

34

Institutions

Publications per year

2017–2026

9

Authors

60

  1. AA
    Alessandro Antonucci

    Dalle Molle Institute for Artificial Intelligence Research, Switzerland

    12 publications · 278 citations

    11

    h-index

  2. MZ
    Marco Zaffalon

    Dalle Molle Institute for Artificial Intelligence Research, Switzerland

    10 publications · 239 citations

    10

    h-index

  3. FG
    Fábio Gagliardi Cozman

    Universidade de São Paulo, Brazil

    11 publications · 274 citations

    10

    h-index

  4. CP
    Cassio P. de Campos

    Dalle Molle Institute for Artificial Intelligence Research, Switzerland

    10 publications · 307 citations

    10

    h-index

  5. GD
    Gert de Cooman

    Ghent University, Belgium

    4 publications · 110 citations

    4

    h-index

1–5 of 60

Venues

  1. International Journal of Approximate Reasoning

    12 publications · 310 citations

    12

    h-index

  2. Research Portal (Queen's University Belfast)

    Repository · 3 publications · 88 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 106 citations

    3

    h-index

  4. Ghent University Academic Bibliography (Ghent University)

    Repository · 2 publications · 25 citations

    2

    h-index

  5. Reliability Engineering & System Safety

    1 publications · 42 citations

    1

    h-index

1–5