Redundancy Pruning

Redundancy Pruning is a method in redundancy management that systematically eliminates redundant components from a system or dataset while preserving essential functionality or information integrity.

9

Publications

204

Citations

20

Authors

10

Institutions

Publications per year

2017–2026

4

Authors

20

  1. ZH
    Zhongzhan Huang

    Sun Yat-sen University, China

    2 publications · 37 citations

    2

    h-index

  2. XW
    Xinjiang Wang

    Nara Medical University, Japan

    2 publications · 37 citations

    2

    h-index

  3. PL
    Ping Luo

    University of Hong Kong, Hong Kong SAR China

    2 publications · 37 citations

    2

    h-index

  4. YM
    Yann Meurisse

    Institut Polytechnique de Paris, France

    1 publications · 23 citations

    1

    h-index

  5. HO
    Hideyuki Ohtani

    National Epilepsy Center, Japan

    1 publications · 10 citations

    1

    h-index

1–5 of 20

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 20 citations

    2

    h-index

  2. Applied Soft Computing

    1 publications · 31 citations

    1

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 47 citations

    1

    h-index

  4. IEEE Transactions on Information Theory

    1 publications · 23 citations

    1

    h-index

  5. Neural Information Processing Systems

    Conference · 1 publications · 27 citations

    1

    h-index

1–5