Concepedia

Pruning Sensitivity Analysis

Pruning Sensitivity Analysis is a methodological procedure in machine learning that systematically evaluates the impact of removing specific components from a neural network to determine their relative importance to model performance.

31

Publications

1.5K

Citations

96

Authors

34

Institutions

Publications per year

2017–2026

17

Parents

Publications

31

Methods for Pruning Deep Neural Networks

Sunil Vadera, Salem Ameen · IEEE Access · 2022 · 201 citations · Full text

, , +13

Sensitivity analysis for minimization of input data dimension for feedforward neural network

Jacek M. Żurada, A. Malinowski, I. Cloete · 2002 · 200 citations

, , +12

A new pruning heuristic based on variance analysis of sensitivity information

Andries P. Engelbrecht · IEEE Transactions on Neural Networks · 2001 · 199 citations

, , +10

Pruning algorithms of neural networks — a comparative study

M. Gethsiyal Augasta, T. Kathirvalavakumar · Open Computer Science · 2013 · 114 citations · Full text

, , +10

A Node Pruning Algorithm Based on a Fourier Amplitude Sensitivity Test Method

P Lauret, Éric Fock, Thierry A. Mara · IEEE Transactions on Neural Networks · 2006 · 104 citations · Full text

, , +13

1–5 of 31

Authors

96

  1. IC
    I. Cloete

    Stellenbosch University, South Africa

    3 publications · 277 citations

    3

    h-index

  2. XZ
    Xiaoqin Zeng

    Hohai University, China

    3 publications · 114 citations

    3

    h-index

  3. AP
    Andries P. Engelbrecht

    University of Pretoria, South Africa

    3 publications · 276 citations

    3

    h-index

  4. ÉF
    Éric Fock

    Laboratoire Génie Industriel, France

    2 publications · 122 citations

    2

    h-index

  5. SA
    Salem Ameen

    University of Salford, United Kingdom

    2 publications · 212 citations

    2

    h-index

1–5 of 96

Institutions

34

  1. University of Pretoria

    Pretoria, South Africa

    3 h-index

    3 publications

    276 citations

  2. Hohai University

    Nanjing, China

    3 h-index

    6 publications

    250 citations

  3. Stellenbosch University

    Stellenbosch, South Africa

    2 h-index

    2 publications

    249 citations

  4. Laboratoire Génie Industriel

    Gif-sur-Yvette, France

    2 h-index

    8 publications

    402 citations

  5. Hong Kong Polytechnic University

    Hong Kong, Hong Kong

    2 h-index

    2 publications

    102 citations

  6. Peking University

    Beijing, China

    2 h-index

    2 publications

    68 citations

  7. University of South Africa

    Pretoria, South Africa

    2 h-index

    2 publications

    77 citations

  8. Hochschule Bremen

    Bremen, Germany

    1 h-index

    1 publications

    28 citations

1–8 of 34

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 119 citations

    7

    h-index

  2. IEEE Internet of Things Journal

    2 publications · 75 citations

    2

    h-index

  3. Neurocomputing

    2 publications · 153 citations

    2

    h-index

  4. Neural Computing and Applications

    2 publications · 27 citations

    2

    h-index

  5. IEEE Transactions on Neural Networks

    2 publications · 303 citations

    2

    h-index

1–5