Ensemble Feature Aggregation

Ensemble Feature Aggregation is a feature aggregation method that combines multiple heterogeneous or homogeneous feature representations through an ensemble strategy to enhance representation robustness and discriminability by leveraging complementary information across constituent features.

54

Publications

2K

Citations

228

Authors

120

Institutions

Publications per year

2017–2026

38

Authors

228

  1. TM
    Taghi M. Khoshgoftaar

    Florida Atlantic University, United States

    2 publications · 49 citations

    2

    h-index

  2. HS
    Hana Sulieman

    American University of Sharjah, United Arab Emirates

    2 publications · 78 citations

    2

    h-index

  3. DJ
    David J. Dittman

    Florida Atlantic University, United States

    2 publications · 49 citations

    2

    h-index

  4. AA
    Ayman Alzaatreh

    American University of Sharjah, United Arab Emirates

    2 publications · 78 citations

    2

    h-index

  5. RW
    Randall Wald

    Florida Atlantic University, United States

    2 publications · 49 citations

    2

    h-index

1–5 of 228

Venues

  1. Decision Support Systems

    2 publications · 137 citations

    2

    h-index

  2. Neurocomputing

    2 publications · 155 citations

    2

    h-index

  3. Entropy

    2 publications · 64 citations

    2

    h-index

  4. Smart Materials and Structures

    SMS · 1 publications · 23 citations

    1

    h-index

  5. Measurement

    1 publications · 141 citations

    1

    h-index

1–5