Concepedia

Pruning Percentage

Pruning Percentage is a quantitative metric in model compression that specifies the proportion of parameters or connections removed from a neural network relative to its original size.

9

Publications

206

Citations

28

Authors

13

Institutions

Publications per year

2017–2026

5

Variants

Pruning Ratio

Parents

Publications

9

Genetic algorithm pruning of probabilistic neural networks in medical disease estimation

Dimitrios Mantzaris, George Anastassopoulos, Adam Adamopoulos · Neural Networks · 2011 · 86 citations

, , +13

Reliability Evaluation of Pruned Neural Networks against Errors on Parameters

Zhen Gao, Xiaohui Wei, Han Zhang et al. · 2020 · 20 citations

, , +17

Reliability evaluation of FPGA based pruned neural networks

Zhen Gao, Yi Yao, Xiaohui Wei et al. · Microelectronics Reliability · 2022 · 19 citations

, , +14

Structured Pruning for Deep Neural Networks with Adaptive Pruning Rate Derivation Based on Connection Sensitivity and Loss Function

Yasufumi Sakai, Yu Eto, Yuta Teranishi · Journal of Advances in Information Technology · 2022 · 18 citations · Full text

, , +12

Pruning methods to MLP neural networks considering proportional apparent error rate for classification problems with unbalanced data

Miriam Rodrigues Silvestre, Lee Luan Ling · Measurement · 2014 · 17 citations

, , +12

1–5 of 9

Authors

28

  1. GG
    Guangjun Ge

    Tsinghua University, China

    1 publications · 20 citations

    2

    h-index

  2. XW
    Xiaohui Wei

    Hunan University, China

    1 publications · 20 citations

    2

    h-index

  3. PR
    Pedro Reviriego

    Universidad Nebrija, Spain

    1 publications · 20 citations

    2

    h-index

  4. AJ
    A. J. Winkler

    University of California, Davis, United States

    1 publications · 12 citations

    1

    h-index

  5. SA
    Saeed Amirgholipour

    University of Technology Sydney, Australia

    1 publications · 11 citations

    1

    h-index

1–5 of 28

Institutions

13

  1. Tsinghua University

    Beijing, China

    2 h-index

    3 publications

    60 citations

  2. Tianjin University

    Tianjin, China

    2 h-index

    3 publications

    60 citations

  3. University of California, Davis

    Davis, United States

    2 h-index

    5 publications

    62 citations

  4. Universidad Carlos III de Madrid

    Madrid, Spain

    2 h-index

    1 publications

    20 citations

  5. Technological Educational Institute of Eastern Macedonia and Thrace

    Kavala, Greece

    1 h-index

    1 publications

    86 citations

  6. Hellenic Open University

    Pátrai, Greece

    1 h-index

    2 publications

    172 citations

  7. Universidade Estadual Paulista (Unesp)

    São Paulo, Brazil

    1 h-index

    1 publications

    17 citations

  8. Annamalai University

    Chidambaram, India

    1 h-index

    2 publications

    20 citations

1–8 of 13

Venues

  1. American Journal of Enology and Viticulture

    AJEV · 2 publications · 25 citations

    2

    h-index

  2. Measurement

    1 publications · 17 citations

    1

    h-index

  3. Neural Networks

    1 publications · 86 citations

    1

    h-index

  4. Journal of Advances in Information Technology

    JAIT · 1 publications · 18 citations

    1

    h-index

  5. Neurocomputing

    1 publications · 11 citations

    1

    h-index

1–5