Concepedia

Imbalanced Learning

Imbalanced Learning is a machine learning paradigm in which the classification or prediction task is complicated by a significant disparity in the distribution of class labels, typically characterized by a substantial preponderance of instances in one class over others, necessitating specialized techniques to mitigate bias and improve detection of the minority class.

2.1K

Publications

213.1K

Citations

6.9K

Authors

1.9K

Institutions

Publications per year

2017–2026

1.6K

Parents

Publications

2.1K

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

Learning from Imbalanced Data

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

, , +17

ADASYN: Adaptive synthetic sampling approach for imbalanced learning

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

, , +16

A study of the behavior of several methods for balancing machine learning training data

Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard · ACM SIGKDD Explorations Newsletter · 2004 · 4.1K citations

, , +10

Probabilistic Matrix Factorization

Andriy Mnih, Ruslan Salakhutdinov · Neural Information Processing Systems · 2007 · 3.6K citations

, , +14

1–5 of 2.1K

Authors

6.9K

  1. FH
    Francisco Herrera

    Universidad de Granada, Spain

    31 publications · 9K citations

    29

    h-index

  2. TM
    Taghi M. Khoshgoftaar

    Florida Atlantic University, United States

    37 publications · 4.2K citations

    24

    h-index

  3. AF
    Alberto Fernández

    Universidad de Granada, Spain

    18 publications · 6.4K citations

    18

    h-index

  4. JV
    Jason Van Hulse

    Florida Atlantic University, United States

    16 publications · 2.8K citations

    15

    h-index

  5. NJ
    Nathalie Japkowicz

    University of Ottawa, Canada

    16 publications · 2.5K citations

    14

    h-index

1–5 of 6.9K

Institutions

1.9K

  1. Universidad de Granada

    Granada, Spain

    33 h-index

    74 publications

    20.6K citations

  2. Florida Atlantic University

    Boca Raton, United States

    29 h-index

    126 publications

    13.8K citations

  3. Tsinghua University

    Beijing, China

    26 h-index

    111 publications

    5.3K citations

  4. Chinese Academy of Sciences

    Beijing, China

    23 h-index

    87 publications

    6.1K citations

  5. Shanghai Jiao Tong University

    Shanghai, China

    20 h-index

    58 publications

    4K citations

  6. South China University of Technology

    Guangzhou, China

    20 h-index

    68 publications

    5.3K citations

  7. Nanyang Technological University

    Singapore, Singapore

    18 h-index

    34 publications

    4.3K citations

  8. Universidad de Jaén

    Jaén, Spain

    18 h-index

    30 publications

    8K citations

1–8 of 1.9K

Venues

  1. IEEE Access

    82 publications · 4.8K citations

    38

    h-index

  2. Expert Systems with Applications

    62 publications · 4.2K citations

    36

    h-index

  3. Neurocomputing

    52 publications · 4.3K citations

    35

    h-index

  4. Information Sciences

    48 publications · 9.4K citations

    34

    h-index

  5. arXiv (Cornell University)

    Repository · 93 publications · 7.3K citations

    33

    h-index

1–5