Statistical Data Fusion is a formal integration methodology that combines multiple heterogeneous datasets originating from distinct but related sources or measurement platforms, using probabilistic and multivariate statistical techniques to infer a unified model that enhances analytical power and biological interpretability in metabolomics studies.
203
Publications
14.6K
Citations
2K
Authors
765
Institutions
Publications per year
2017–2026
92
Parents
Publications
203
An introduction to multisensor data fusion
David L. Hall, James Llinas · Proceedings of the IEEE · 1997 · 2.5K citations
1–5 of 203
Authors
2K
- BA
8
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- AJ
7
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Institutions
765
Vanderbilt University
Nashville, United States
10 h-index
21 publications
1.7K citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
10 publications
2.2K citations
Jet Propulsion Laboratory
Pasadena, United States
4 h-index
7 publications
545 citations
ETH Zurich
Zurich, Switzerland
4 h-index
19 publications
2.5K citations
University at Buffalo, State University of New York
Buffalo, United States
4 h-index
4 publications
3K citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
9 publications
2K citations
Johns Hopkins University
Baltimore, United States
4 h-index
33 publications
6.4K citations
Centre National de la Recherche Scientifique
Paris, France
4 h-index
8 publications
465 citations
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Venues
- Food Chemistry
5 publications · 275 citations
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- Medical Image Analysis
4 publications · 536 citations
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- Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
4 publications · 187 citations
4
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- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
4 publications · 59 citations
4
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- IEEE Transactions on Aerospace and Electronic Systems
4 publications · 276 citations
4
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1–5