Concepedia

Cost-sensitive Ensemble Learning

Cost-Sensitive Ensemble Learning is an ensemble learning framework that integrates differential misclassification costs into the model training and aggregation process to optimize predictive performance with respect to cost-aware objectives rather than simple accuracy.

121

Publications

7.3K

Citations

419

Authors

184

Institutions

Publications per year

2017–2026

76

Parents

Publications

121

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

Cost-sensitive decision tree ensembles for effective imbalanced classification

Bartosz Krawczyk, Michał Woźniak, Gerald Schaefer · Applied Soft Computing · 2013 · 361 citations · Full text

, , +14

A Comparative Study of Cost-Sensitive Boosting Algorithms

Kai Ming Ting · 2000 · 266 citations

, , +10

Online Bagging and Boosting for Imbalanced Data Streams

Boyu Wang, Joëlle Pineau · IEEE Transactions on Knowledge and Data Engineering · 2016 · 181 citations

, , +17

Confusion-Matrix-Based Kernel Logistic Regression for Imbalanced Data Classification

Miho Ohsaki, Peng Wang, Kenji Matsuda et al. · IEEE Transactions on Knowledge and Data Engineering · 2017 · 179 citations

, , +17

1–5 of 121

Authors

419

  1. BK
    Bartosz Krawczyk

    Wrocław University of Science and Technology, Poland

    5 publications · 485 citations

    5

    h-index

  2. GS
    Gerald Schaefer

    Loughborough University, United Kingdom

    5 publications · 470 citations

    5

    h-index

  3. MW
    Michał Woźniak

    Wrocław University of Science and Technology, Poland

    4 publications · 454 citations

    4

    h-index

  4. MC
    Mark Coates

    McGill University, Canada

    2 publications · 74 citations

    2

    h-index

  5. AS
    Adam Santorelli

    McGill University, Canada

    2 publications · 74 citations

    2

    h-index

1–5 of 419

Institutions

184

  1. Loughborough University

    Loughborough, United Kingdom

    6 h-index

    6 publications

    510 citations

  2. Wrocław University of Science and Technology

    Wroclaw, Poland

    5 h-index

    9 publications

    939 citations

  3. South China University of Technology

    Guangzhou, China

    4 h-index

    12 publications

    752 citations

  4. Nanjing University

    Nanjing, China

    4 h-index

    10 publications

    2.9K citations

  5. Tongji University

    Shanghai, China

    3 h-index

    9 publications

    416 citations

  6. McGill University

    Montreal, Canada

    2 h-index

    9 publications

    355 citations

  7. Ben-Gurion University of the Negev

    Beersheba, Israel

    2 h-index

    7 publications

    193 citations

  8. Sun Yat-sen University

    Guangzhou, China

    2 h-index

    3 publications

    95 citations

1–8 of 184

Venues

  1. Expert Systems with Applications

    5 publications · 215 citations

    5

    h-index

  2. IEEE Access

    4 publications · 178 citations

    4

    h-index

  3. Knowledge-Based Systems

    4 publications · 335 citations

    4

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 1.7K citations

    4

    h-index

  5. Information Sciences

    3 publications · 312 citations

    3

    h-index

1–5