Uncertainty-aware Fusion
Uncertainty-Aware Fusion is a context-aware fusion method that explicitly quantifies and integrates uncertainty estimates from individual sources or modalities to improve the reliability and robustness of fused outputs.
79
Publications
3.4K
Citations
291
Authors
145
Institutions
Publications per year
2017–2026
40
Parents
79
Advances and Applications of DSmT for Information Fusion
Florentín Smarandache, Jean Dezert · viXra · 2004 · 447 citations
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Yingda Xia, Fengze Liu, Dong Yang et al. · 2020 · 171 citations
1–5 of 79
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Office National d'Études et de Recherches Aérospatiales, France
2 publications · 611 citations
2
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1–5 of 291
145

Iona College
New Rochelle, United States
3 h-index
3 publications
110 citations
George Mason University
Fairfax, United States
3 h-index
7 publications
176 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
4 publications
131 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
9 publications
313 citations
CEA Cadarache
Saint-Paul-lès-Durance, France
2 h-index
7 publications
71 citations
University of New Mexico
Albuquerque, United States
2 h-index
2 publications
181 citations

North China Electric Power University
Beijing, China
2 h-index
5 publications
143 citations
North Atlantic Treaty Organization
Brussels, Belgium
2 h-index
3 publications
49 citations
1–8 of 145
9 publications · 444 citations
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3 publications · 99 citations
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2 publications · 83 citations
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Conference · 2 publications · 40 citations
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2 publications · 76 citations
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