Training Workflow Design

Training Workflow Design is a methodological framework within vine architecture that specifies the systematic orchestration of data processing, model development, and optimization phases to enable efficient and reproducible training of machine learning models.

22

Publications

1.2K

Citations

111

Authors

36

Institutions

Publications per year

2017–2026

14

Authors

111

  1. WW
    Wei Wang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    1 publications · 30 citations

    1

    h-index

  2. TM
    Tania Mak So-Ning

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 16 citations

    1

    h-index

  3. DB
    Denis Baylor

    Google (United States), United States

    1 publications · 328 citations

    1

    h-index

  4. BL
    Bo Li

    Hong Kong University of Science and Technology, Hong Kong SAR China

    1 publications · 30 citations

    1

    h-index

  5. CR
    Cynthia Rosas

    Mexican Social Security Institute, Mexico

    1 publications · 14 citations

    1

    h-index

1–5 of 111

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 76 citations

    2

    h-index

  2. ACM Transactions on Interactive Intelligent Systems

    TIIS · 1 publications · 21 citations

    1

    h-index

  3. Data Archiving and Networked Services (DANS)

    Repository · 1 publications · 39 citations

    1

    h-index

  4. IEEE Transactions on Big Data

    1 publications · 30 citations

    1

    h-index

  5. Industrial and Commercial Training

    1 publications · 10 citations

    1

    h-index

1–5