Transfer Learning Features

Transfer Learning Features is a feature representation method that leverages pre-trained model knowledge from a source task to enhance feature extraction and model performance in a target task through parameter transfer and adaptation.

165

Publications

11.5K

Citations

739

Authors

324

Institutions

Publications per year

2017–2026

151

Authors

739

  1. MA
    Majed Alhaisoni

    HITEC University, Pakistan

    3 publications · 148 citations

    3

    h-index

  2. SK
    Seifedine Kadry

    Beirut Arab University, Lebanon

    3 publications · 92 citations

    3

    h-index

  3. MA
    Muhammad Attique Khan

    HITEC University, Pakistan

    3 publications · 153 citations

    3

    h-index

  4. YN
    Yunyoung Nam

    Soonchunhyang University, South Korea

    3 publications · 94 citations

    3

    h-index

  5. MS
    Mehdhar S. A. M. Al-Gaashani

    Princess Nourah bint Abdulrahman University, Saudi Arabia

    2 publications · 146 citations

    2

    h-index

1–5 of 739

Venues

  1. IEEE Access

    7 publications · 541 citations

    7

    h-index

  2. Diagnostics

    4 publications · 149 citations

    4

    h-index

  3. 4

    h-index

  4. 3

    h-index

  5. Sensors

    3 publications · 112 citations

    3

    h-index

1–5