Concepedia

Cost-sensitive Learning

Cost-Sensitive Learning is a supervised learning paradigm that modifies the learning process to account for unequal misclassification costs by incorporating a cost matrix that assigns different penalties to distinct types of prediction errors.

788

Publications

54.5K

Citations

2.2K

Authors

806

Institutions

Publications per year

2017–2026

372

Parents

Publications

788

The foundations of cost-sensitive learning

Charles Elkan · 2001 · 1.8K citations

, , +17

Cost-sensitive boosting for classification of imbalanced data

Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong et al. · Pattern Recognition · 2007 · 1.4K citations

, , +13

Training cost-sensitive neural networks with methods addressing the class imbalance problem

Zhi‐Hua Zhou, Xuying Liu · IEEE Transactions on Knowledge and Data Engineering · 2006 · 1.3K citations

, , +15

MetaCost

Pedro Domingos · 1999 · 1.3K citations

, , +8

Learning Deep Representation for Imbalanced Classification

Chen Huang, Yining Li, Chen Change Loy et al. · 2016 · 1K citations

, , +13

1–5 of 788

Authors

2.2K

  1. CX
    Charles X. Ling

    Western University, Canada

    11 publications · 1.3K citations

    11

    h-index

  2. ZZ
    Zhi‐Hua Zhou

    Nanjing University, China

    9 publications · 2K citations

    9

    h-index

  3. PZ
    Peilin Zhao

    Tencent (China), China

    9 publications · 528 citations

    9

    h-index

  4. HL
    Hsuan-Tien Lin

    National Taiwan University, Taiwan

    9 publications · 223 citations

    9

    h-index

  5. VS
    Victor S. Sheng

    Texas Tech University, United States

    9 publications · 757 citations

    9

    h-index

1–5 of 2.2K

Institutions

806

  1. Chinese Academy of Sciences

    Beijing, China

    20 h-index

    47 publications

    1.9K citations

  2. Nanjing University

    Nanjing, China

    18 h-index

    46 publications

    6.2K citations

  3. Nanyang Technological University

    Singapore, Singapore

    16 h-index

    31 publications

    2.3K citations

  4. Western University

    London, Canada

    13 h-index

    24 publications

    2.2K citations

  5. University of Chinese Academy of Sciences

    Beijing, China

    13 h-index

    27 publications

    1.2K citations

  6. University of Technology Sydney

    Sydney, Australia

    12 h-index

    34 publications

    1.5K citations

  7. Carnegie Mellon University

    Pittsburgh, United States

    12 h-index

    16 publications

    829 citations

  8. University of California San Diego

    San Diego, United States

    11 h-index

    27 publications

    8.2K citations

1–8 of 806

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 20 publications · 3.1K citations

    20

    h-index

  2. arXiv (Cornell University)

    Repository · 38 publications · 1.3K citations

    20

    h-index

  3. Expert Systems with Applications

    20 publications · 1.7K citations

    17

    h-index

  4. IEEE Access

    20 publications · 787 citations

    17

    h-index

  5. Information Sciences

    16 publications · 1K citations

    15

    h-index

1–5