Concepedia

Pruning Epoch Selection

Pruning Epoch Selection is a methodological framework in machine learning that determines the optimal training epoch at which to apply model pruning to maximize performance retention while minimizing computational overhead.

16

Publications

910

Citations

46

Authors

22

Institutions

Publications per year

2017–2026

10

Parents

Publications

16

A fast pruned-extreme learning machine for classification problem

Hai-Jun Rong, Yew-Soon Ong, Ah‐Hwee Tan et al. · Neurocomputing · 2008 · 361 citations

, , +13

Pruning Deep Convolutional Neural Networks Architectures with Evolution Strategy

Francisco Erivaldo Fernandes, Gary G. Yen · Information Sciences · 2020 · 97 citations · Full text

, , +12

Deep Learning on a Data Diet: Finding Important Examples Early in\n Training

Mansheej Paul, Surya Ganguli, Gintare Karolina Dziugaite · arXiv (Cornell University) · 2021 · 81 citations · Full text

, , +10

An evolutionary constructive and pruning algorithm for artificial neural networks and its prediction applications

Shih‐Hung Yang, Yon‐Ping Chen · Neurocomputing · 2012 · 64 citations

, , +14

Comparing of deep neural networks and extreme learning machines based on growing and pruning approach

Kemal Akyol · Expert Systems with Applications · 2019 · 61 citations

, , +8

1–5 of 16

Authors

46

  1. SS
    Sergii Stirenko

    National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine

    1 publications · 15 citations

    1

    h-index

  2. GG
    Gary G. Yen

    Oklahoma State University, United States

    1 publications · 97 citations

    1

    h-index

  3. JP
    João P. P. Gomes

    Universidade Federal do Ceará, Brazil

    1 publications · 61 citations

    1

    h-index

  4. FN
    Ferrante Neri

    University of Jyväskylä, Finland

    1 publications · 44 citations

    1

    h-index

  5. MM
    M.T. Manry

    The University of Texas at Arlington, United States

    1 publications · 14 citations

    1

    h-index

1–5 of 46

Institutions

22

  1. Clemson University

    Clemson, United States

    1 h-index

    2 publications

    22 citations

  2. Universidade de São Paulo

    São Paulo, Brazil

    1 h-index

    1 publications

    97 citations

  3. Colorado State University

    Fort Collins, United States

    1 h-index

    2 publications

    38 citations

  4. Universidade Federal do Ceará

    Fortaleza, Brazil

    1 h-index

    2 publications

    122 citations

  5. Jilin University

    Changchun, China

    1 h-index

    4 publications

    60 citations

  6. National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

    Kyiv, Ukraine

    1 h-index

    4 publications

    60 citations

  7. Ontario Institute for Cancer Research

    Toronto, Canada

    1 h-index

    1 publications

    10 citations

  8. Oklahoma State University

    Stillwater, United States

    1 h-index

    1 publications

    97 citations

1–8 of 22

Venues

  1. Applied Soft Computing

    3 publications · 125 citations

    3

    h-index

  2. Neurocomputing

    2 publications · 425 citations

    2

    h-index

  3. Information Sciences

    2 publications · 112 citations

    2

    h-index

  4. Measurement

    1 publications · 17 citations

    1

    h-index

  5. 1

    h-index

1–5