Probabilistic Fusion

Probabilistic Fusion is a fusion methodology that integrates multimodal information by modeling uncertainty and estimating the likelihood of combined evidence through probabilistic frameworks.

251

Publications

11.7K

Citations

708

Authors

337

Institutions

Publications per year

2017–2026

71

Authors

708

  1. TS
    Thomas S. Huang

    University of Illinois Urbana-Champaign, United States

    5 publications · 162 citations

    5

    h-index

  2. JS
    J.J. Sudano

    Lockheed Martin (United States), United States

    5 publications · 135 citations

    5

    h-index

  3. YD
    Yong Deng

    University of Electronic Science and Technology of China, China

    5 publications · 307 citations

    5

    h-index

  4. RR
    Ronald R. Yager

    Iona College, United States

    4 publications · 194 citations

    4

    h-index

  5. GB
    Giorgio Battistelli

    University of Florence, Italy

    4 publications · 364 citations

    4

    h-index

1–5 of 708

Venues

  1. Information Fusion

    10 publications · 444 citations

    10

    h-index

  2. International Journal of Intelligent Systems

    6 publications · 317 citations

    6

    h-index

  3. IEEE Transactions on Image Processing

    5 publications · 540 citations

    5

    h-index

  4. 5

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  5. 5

    h-index

1–5