Concepedia

Class Imbalance Learning

Class Imbalance Learning is a methodological framework in image classification that addresses the challenge of uneven class distribution by enabling models to learn effectively from minority classes while maintaining performance across majority classes.

3.1K

Publications

316.4K

Citations

10.3K

Authors

2.6K

Institutions

Publications per year

2017–2026

2.4K

Parents

Publications

3.1K

SMOTE: Synthetic Minority Over-sampling Technique

Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall et al. · Journal of Artificial Intelligence Research · 2002 · 31.2K citations · Full text

, , +12

Focal Loss for Dense Object Detection

Tsung-Yi Lin, Priya Goyal, Ross Girshick et al. · 2017 · 25.7K citations

, , +15

Learning from Imbalanced Data

Haibo He, Edwardo A. Garcia · IEEE Transactions on Knowledge and Data Engineering · 2009 · 9.7K citations

, , +17

Focal Loss for Dense Object Detection

Tsung-Yi Lin, Priya Goyal, Ross Girshick et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2018 · 9.6K citations

, , +15

ADASYN: Adaptive synthetic sampling approach for imbalanced learning

Haibo He, Yang Bai, Edwardo A. Garcia et al. · 2008 · 4.4K citations

, , +16

1–5 of 3.1K

Authors

10.3K

  1. TM
    Taghi M. Khoshgoftaar

    Florida Atlantic University, United States

    43 publications · 7.1K citations

    29

    h-index

  2. FH
    Francisco Herrera

    Universidad de Granada, Spain

    31 publications · 8.3K citations

    28

    h-index

  3. XY
    Xin Yao

    University of Birmingham, United Kingdom

    18 publications · 4K citations

    16

    h-index

  4. JV
    Jason Van Hulse

    Florida Atlantic University, United States

    15 publications · 2.3K citations

    15

    h-index

  5. AF
    Alberto Fernández

    Universidad de Granada, Spain

    15 publications · 5.7K citations

    15

    h-index

1–5 of 10.3K

Institutions

2.6K

  1. Chinese Academy of Sciences

    Beijing, China

    38 h-index

    249 publications

    15K citations

  2. Universidad de Granada

    Granada, Spain

    33 h-index

    79 publications

    19.2K citations

  3. University of Chinese Academy of Sciences

    Beijing, China

    31 h-index

    159 publications

    13.8K citations

  4. Florida Atlantic University

    Boca Raton, United States

    31 h-index

    136 publications

    18.8K citations

  5. Nanyang Technological University

    Singapore, Singapore

    27 h-index

    69 publications

    6.8K citations

  6. Tsinghua University

    Beijing, China

    27 h-index

    100 publications

    4.8K citations

  7. Beihang University

    Beijing, China

    25 h-index

    98 publications

    4K citations

  8. South China University of Technology

    Guangzhou, China

    24 h-index

    77 publications

    5.4K citations

1–8 of 2.6K

Venues

  1. IEEE Access

    143 publications · 9.9K citations

    57

    h-index

  2. arXiv (Cornell University)

    Repository · 161 publications · 11.6K citations

    43

    h-index

  3. Neurocomputing

    74 publications · 5.1K citations

    40

    h-index

  4. Expert Systems with Applications

    69 publications · 7.3K citations

    39

    h-index

  5. Information Sciences

    62 publications · 8.9K citations

    38

    h-index

1–5