Model Dependency Management

Model Dependency Management is a systematic framework within Model Repository Management that governs the identification, resolution, and tracking of interdependencies among machine learning models, model versions, and associated artifacts to ensure reproducibility, consistency, and interoperability across model deployment and lifecycle stages.

17

Publications

638

Citations

81

Authors

37

Institutions

Publications per year

2017–2026

9

Authors

81

  1. CJ
    Christiaan J. J. Paredis

    Georgia Institute of Technology, United States

    2 publications · 58 citations

    2

    h-index

  2. AQ
    Ahsan Qamar

    KTH Royal Institute of Technology, Sweden

    2 publications · 58 citations

    2

    h-index

  3. PS
    P. Sznajder

    Institut de Recherche sur les Lois Fondamentales de l'Univers, France

    2 publications · 77 citations

    2

    h-index

  4. HM
    H. Moutarde

    Institut de Recherche sur les Lois Fondamentales de l'Univers, France

    2 publications · 77 citations

    2

    h-index

  5. PV
    Péter Völgyesi

    Vanderbilt University, United States

    1 publications · 11 citations

    1

    h-index

1–5 of 81

Venues

  1. The European Physical Journal C

    2 publications · 77 citations

    2

    h-index

  2. 1

    h-index

  3. IEEE Wireless Communications

    1 publications · 150 citations

    1

    h-index

  4. The Journal of Sexual Medicine

    1 publications · 125 citations

    1

    h-index

  5. IEEE Transactions on Sustainable Energy

    TSTE · 1 publications · 32 citations

    1

    h-index

1–5