Runtime Model Adaptation

Runtime Model Adaptation is a model execution technique that dynamically modifies a computational model's structure or parameters during execution to maintain performance, accuracy, or compliance in response to evolving environmental conditions or input data distributions.

29

Publications

1K

Citations

108

Authors

56

Institutions

Publications per year

2017–2026

8

Authors

108

  1. SG
    Suat Gümüşsoy

    KU Leuven, Belgium

    2 publications · 38 citations

    2

    h-index

  2. AD
    Andrew D. Wilson

    Microsoft (United States), United States

    2 publications · 86 citations

    2

    h-index

  3. TH
    Tobias Helms

    University of Rostock, Germany

    2 publications · 25 citations

    2

    h-index

  4. AB
    Aaron Bobick

    Georgia Institute of Technology, United States

    2 publications · 86 citations

    2

    h-index

  5. FP
    Francesco Paterna

    University of Bologna, Italy

    2 publications · 38 citations

    2

    h-index

1–5 of 108

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 1 publications · 55 citations

    1

    h-index

  2. Computer Animation and Virtual Worlds

    1 publications · 36 citations

    1

    h-index

  3. Microprocessors and Microsystems

    MICPRO · 1 publications · 37 citations

    1

    h-index

  4. Software & Systems Modeling

    SoSyM · 1 publications · 14 citations

    1

    h-index

  5. Hispana

    Repository · 1 publications · 20 citations

    1

    h-index

1–5