Model Attribution

Model Attribution is a computational method designed to identify and quantify the contribution of individual models or omics layers within a multi-omics integration framework by distinguishing their specific influence on predictive outcomes.

113

Publications

9.6K

Citations

382

Authors

176

Institutions

Publications per year

2017–2026

79

Authors

382

  1. SL
    Scott Lundberg

    University of Washington, United States

    4 publications · 509 citations

    4

    h-index

  2. SL
    Su‐In Lee

    University of Washington, United States

    4 publications · 509 citations

    4

    h-index

  3. NY
    Ning Yu

    Zhejiang Sci-Tech University, China

    3 publications · 505 citations

    3

    h-index

  4. LS
    Larry S. Davis

    University of Maryland, College Park, United States

    3 publications · 505 citations

    3

    h-index

  5. MF
    Mario Fritz

    Max Planck Institute for Informatics, Germany

    3 publications · 505 citations

    3

    h-index

1–5 of 382

Venues

  1. arXiv (Cornell University)

    Repository · 19 publications · 4.4K citations

    15

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 103 citations

    3

    h-index

  3. 2

    h-index

  4. Environmental Science & Technology

    2 publications · 43 citations

    2

    h-index

  5. Nature Communications

    2 publications · 254 citations

    2

    h-index

1–5