Model Library Management

Model Library Management is a systematic framework within the domain of model reuse that governs the organization, retrieval, versioning, and interoperability of pre-trained models in a shared repository to facilitate efficient and standardized access across machine learning workflows.

21

Publications

873

Citations

84

Authors

32

Institutions

Publications per year

2017–2026

5

Authors

84

  1. PS
    P. Sharer

    Argonne National Laboratory, United States

    2 publications · 141 citations

    2

    h-index

  2. AR
    Aymeric Rousseau

    Argonne National Laboratory, United States

    2 publications · 141 citations

    2

    h-index

  3. JZ
    Juntai Zheng

    Vibrant Data (United States), United States

    1 publications · 100 citations

    1

    h-index

  4. FX
    Fen Xie

    Vibrant Data (United States), United States

    1 publications · 100 citations

    1

    h-index

  5. FS
    Faramarz Soheili

    Payame Noor University, Iran

    1 publications · 63 citations

    1

    h-index

1–5 of 84

Venues

  1. 2

    h-index

  2. Bioinformatics

    2 publications · 212 citations

    2

    h-index

  3. Scientometrics

    1 publications · 15 citations

    1

    h-index

  4. Urban Library Journal

    ULJ · 1 publications · 15 citations

    1

    h-index

  5. Journal of Marine Systems

    1 publications · 33 citations

    1

    h-index

1–5