Bayesian Risk Classification
Bayesian Risk Classification is a probabilistic classification framework that assigns risk categories to instances by updating prior beliefs with observed evidence through Bayes' theorem, distinguishing itself from classical risk classification methods through its explicit incorporation of uncertainty and prior knowledge into the decision process.
16
Publications
821
Citations
59
Authors
30
Institutions
Publications per year
2017–2026
3
Parents
16
An ensemble model of QSAR tools for regulatory risk assessment
Prachi Pradeep, Richard J. Povinelli, Shannon M. White et al. · Journal of Cheminformatics · 2016 · 64 citations · Full text
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Marquette University
Milwaukee, United States
1 h-index
2 publications
128 citations

Federal University of Technology
Akure, Nigeria
1 h-index
3 publications
36 citations
Georgetown University
Washington, United States
1 h-index
1 publications
64 citations
Sathyabama Institute of Science and Technology
Chennai, India
1 h-index
3 publications
654 citations
Southwest University of Science and Technology
Mianyang, China
1 h-index
1 publications
14 citations

Télécom Paris
Palaiseau, France
1 h-index
1 publications
18 citations
Guangdong University of Petrochemical Technology
Maoming, China
1 h-index
2 publications
24 citations
Ingegneria dei Trasporti (Italy)
Rome, Italy
1 h-index
3 publications
54 citations
1–8 of 30
Repository · 2 publications · 25 citations
2
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1 publications · 49 citations
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MPE · 1 publications · 14 citations
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1 publications · 64 citations
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Conference · 1 publications · 141 citations
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