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Selective ensemble of classifiers trained on selective samples

  • Published:2021-11 Issue: Volume: Page:
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

M. Mohammed Amgad,Onieva Enrique,Woźniak Michał

Funder

Horizon 2020 MSCA

Horizon 2020

Polish Academy of Sciences

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference65 articles.

1. A survey of multiple classifier systems as hybrid systems;Woźniak;Inf. Fusion,2014

2. Ensemble learning: a survey;Sagi;Wiley Interdisc. Rev. Data Min. Knowl. Disc.,2018

3. A practical tutorial on bagging and boosting based ensembles for machine learning: algorithms, software tools, performance study, practical perspectives and opportunities;González;Inf. Fusion,2020

4. Combining Pattern Classifiers: Methods and Algorithms;Kuncheva,2014

5. Ensemble of extreme learning machines with trained classifier combination and statistical features for hyperspectral data;Ksieniewicz;Neurocomputing,2018

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