Concepedia

Heterogeneous Ensemble Learning

Heterogeneous Ensemble Learning is an ensemble learning approach that combines diverse base learners of different types or families to improve predictive performance by leveraging complementary strengths across varied model architectures.

207

Publications

9.5K

Citations

802

Authors

350

Institutions

Publications per year

2017–2026

157

Parents

Publications

207

The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift

Leandro L. Minku, A. P. White, Xin Yao · IEEE Transactions on Knowledge and Data Engineering · 2009 · 438 citations

, , +11

Ensemble feature selection: Homogeneous and heterogeneous approaches

Borja Seijo-Pardo, Iago Porto-Díaz, Verónica Bolón‐Canedo et al. · Knowledge-Based Systems · 2016 · 299 citations

, , +13

A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping

Zhice Fang, Yi Wang, Ling Peng et al. · International Journal of Geographical Information Systems · 2020 · 285 citations · Full text

, , +16

A novel heterogeneous ensemble credit scoring model based on bstacking approach

Yufei Xia, Chuanzhe Liu, Bowen Da et al. · Expert Systems with Applications · 2017 · 210 citations

, , +12

Two-stage consumer credit risk modelling using heterogeneous ensemble learning

Monika Papoušková, Petr Hájek · Decision Support Systems · 2019 · 177 citations

, , +14

1–5 of 207

Authors

802

  1. AW
    Alan Wee‐Chung Liew

    Griffith University, Australia

    4 publications · 142 citations

    4

    h-index

  2. SE
    Shaker El–Sappagh

    Benha University, Egypt

    4 publications · 211 citations

    4

    h-index

  3. TT
    Tien Thanh Nguyen

    Griffith University, Australia

    4 publications · 142 citations

    4

    h-index

  4. JL
    Jason Lines

    University of East Anglia, United Kingdom

    3 publications · 151 citations

    3

    h-index

  5. SC
    Shaoze Cui

    Dalian University of Technology, China

    3 publications · 77 citations

    3

    h-index

1–5 of 802

Institutions

350

  1. Dalian University of Technology

    Dalian, China

    5 h-index

    11 publications

    318 citations

  2. Sichuan University

    Chengdu, China

    5 h-index

    9 publications

    194 citations

  3. Griffith University

    Brisbane, Australia

    4 h-index

    8 publications

    284 citations

  4. Chinese Academy of Sciences

    Beijing, China

    4 h-index

    8 publications

    405 citations

  5. Benha University

    Banhā, Egypt

    4 h-index

    4 publications

    211 citations

  6. Victoria University of Wellington

    Wellington, New Zealand

    3 h-index

    6 publications

    202 citations

  7. Wuhan University

    Wuhan, China

    3 h-index

    7 publications

    279 citations

  8. Beijing University of Posts and Telecommunications

    Beijing, China

    3 h-index

    9 publications

    679 citations

1–8 of 350

Venues

  1. IEEE Access

    7 publications · 230 citations

    7

    h-index

  2. Expert Systems with Applications

    8 publications · 454 citations

    7

    h-index

  3. Applied Sciences

    7 publications · 264 citations

    6

    h-index

  4. Applied Soft Computing

    7 publications · 264 citations

    6

    h-index

  5. arXiv (Cornell University)

    Repository · 5 publications · 140 citations

    5

    h-index

1–5