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

Authors

291

  1. RR
    Ronald R. Yager

    Iona College, United States

    3 publications · 110 citations

    3

    h-index

  2. AJ
    Anne-Laure Jousselme

    Defence Research and Development Canada, Canada

    3 publications · 61 citations

    3

    h-index

  3. KB
    Kathryn Blackmond Laskey

    George Mason University, United States

    3 publications · 77 citations

    3

    h-index

  4. SH
    Sadiq Hussain

    Dibrugarh University, India

    2 publications · 129 citations

    2

    h-index

  5. JD
    Jean Dezert

    Office National d'Études et de Recherches Aérospatiales, France

    2 publications · 611 citations

    2

    h-index

1–5 of 291

Venues

  1. Information Fusion

    9 publications · 444 citations

    9

    h-index

  2. Information Sciences

    3 publications · 99 citations

    3

    h-index

  3. Measurement

    2 publications · 83 citations

    2

    h-index

  4. International Conference on Information Fusion

    Conference · 2 publications · 40 citations

    2

    h-index

  5. Pattern Recognition

    2 publications · 76 citations

    2

    h-index

1–5