Importance Scoring

Importance Scoring is a methodological framework within the academic domain of Dormant Pruning that quantifies the relative significance of individual components in a model to prioritize pruning decisions based on their contribution to overall performance.

996

Publications

67K

Citations

3.2K

Authors

1.4K

Institutions

Publications per year

2017–2026

308

Authors

3.2K

  1. CH
    Chang‐ming Hsieh

    University of Illinois Chicago, United States

    8 publications · 240 citations

    8

    h-index

  2. SS
    Shubin Si

    Northwestern Polytechnical University, China

    5 publications · 217 citations

    5

    h-index

  3. AT
    Armando Teixeira‐Pinto

    The University of Sydney, Australia

    4 publications · 200 citations

    4

    h-index

  4. HD
    Hongyan Dui

    Zhengzhou University, China

    4 publications · 208 citations

    4

    h-index

  5. CW
    Chia‐Huei Wu

    London School of Economics and Political Science, United Kingdom

    4 publications · 236 citations

    4

    h-index

1–5 of 3.2K

Venues

  1. Reliability Engineering & System Safety

    28 publications · 1.6K citations

    22

    h-index

  2. arXiv (Cornell University)

    Repository · 18 publications · 1.2K citations

    14

    h-index

  3. Sustainability

    13 publications · 321 citations

    13

    h-index

  4. Expert Systems with Applications

    12 publications · 892 citations

    12

    h-index

  5. PubMed

    Repository · 10 publications · 547 citations

    10

    h-index

1–5