Bayesian Network Integration is a computational framework that combines multiple Bayesian networks into a unified probabilistic model to enable coherent inference and decision-making under uncertainty across heterogeneous data sources and knowledge domains.
299
Publications
16.4K
Citations
1.1K
Authors
491
Institutions
Publications per year
2017–2026
122
Parents
Publications
299
Bayesian integration in sensorimotor learning
Konrad P. Körding, Daniel M. Wolpert · Nature · 2004 · 2.1K citations
1–5 of 299
Authors
1.1K
- KM
6
h-index
- ZY
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- JL
4
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- WHWei Huang
Hong Kong University of Science and Technology, Hong Kong SAR China
3 publications · 102 citations
3
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- STSolomon Tesfamariam
University of British Columbia, Okanagan Campus, Canada
3 publications · 116 citations
3
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1–5 of 1.1K
Institutions
491
Queensland University of Technology
Brisbane, Australia
8 h-index
22 publications
889 citations
Tsinghua University
Beijing, China
7 h-index
15 publications
317 citations
University of British Columbia
Vancouver, Canada
6 h-index
17 publications
628 citations
Liverpool John Moores University
Liverpool, United Kingdom
5 h-index
13 publications
2.1K citations
Technical University of Munich
Munich, Germany
4 h-index
11 publications
160 citations
The University of Melbourne
Melbourne, Australia
4 h-index
6 publications
635 citations
Chinese Academy of Sciences
Beijing, China
4 h-index
17 publications
461 citations
Wageningen University & Research
Wageningen, The Netherlands
4 h-index
10 publications
367 citations
1–8 of 491
Venues
- Reliability Engineering & System Safety
8 publications · 920 citations
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- Environmental Modelling & Software
6 publications · 1.3K citations
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- Expert Systems with Applications
6 publications · 393 citations
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- Bioinformatics
5 publications · 93 citations
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- Integrated Environmental Assessment and Management
IEAM · 5 publications · 177 citations
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