Bayesian Network Diagnosis

Bayesian Network Diagnosis is a diagnostic framework that employs a Bayesian network—a directed acyclic graph representing probabilistic dependencies among variables—to model uncertain relationships in a domain and perform probabilistic inference for identifying the most likely故障 states or diseases given observed evidence.

452

Publications

19K

Citations

1.4K

Authors

562

Institutions

Publications per year

2017–2026

142

Authors

1.4K

  1. FK
    Faisal Khan

    Memorial University of Newfoundland, Canada

    11 publications · 1.1K citations

    11

    h-index

  2. OJ
    Ole J. Mengshoel

    Carnegie Mellon University, United States

    9 publications · 234 citations

    9

    h-index

  3. BC
    Baoping Cai

    China University of Petroleum, East China, China

    8 publications · 1.4K citations

    8

    h-index

  4. RM
    Rodolfo Montironi

    Marche Polytechnic University, Italy

    8 publications · 181 citations

    8

    h-index

  5. DT
    D Thompson

    University of Arizona, United States

    5 publications · 159 citations

    5

    h-index

1–5 of 1.4K

Venues

  1. PubMed

    Repository · 12 publications · 348 citations

    11

    h-index

  2. arXiv (Cornell University)

    Repository · 8 publications · 334 citations

    8

    h-index

  3. Figshare

    Repository · 6 publications · 179 citations

    6

    h-index

  4. Industrial & Engineering Chemistry Research

    5 publications · 326 citations

    5

    h-index

  5. 5

    h-index

1–5