Model Integration Architecture

Model Integration Architecture is a formal computational framework that specifies the structural design and interaction protocols for combining multiple machine learning models into a unified system, distinguishing it from other model integration contributions by its focus on systemic organization, interoperability mechanisms, and scalable coordination of component models.

120

Publications

5.7K

Citations

485

Authors

227

Institutions

Publications per year

2017–2026

49

Authors

485

  1. MC
    Min Chen

    Nanjing Normal University, China

    4 publications · 178 citations

    4

    h-index

  2. DR
    Daniel R. Dolk

    Naval Postgraduate School, United States

    4 publications · 179 citations

    4

    h-index

  3. AV
    Alexey Voinov

    University of Twente, Netherlands

    3 publications · 128 citations

    3

    h-index

  4. YJ
    Yanxiang Jiang

    Southeast University, China

    2 publications · 49 citations

    2

    h-index

  5. SD
    Stuart D. Miller

    MedStar Union Memorial Hospital, United States

    2 publications · 123 citations

    2

    h-index

1–5 of 485

Venues

  1. Environmental Modelling & Software

    7 publications · 575 citations

    7

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 247 citations

    5

    h-index

  3. Decision Support Systems

    5 publications · 250 citations

    5

    h-index

  4. 2

    h-index

  5. Advances in geosciences

    ADGEO · 2 publications · 24 citations

    2

    h-index

1–5