An improved GEV boosting method for imbalanced data classification with application to short-term rainfall prediction-Reference-Cited by-同舟云学术

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An improved GEV boosting method for imbalanced data classification with application to short-term rainfall prediction

Published:2023-02 Issue: Volume:617 Page:128882
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

He Shuaida,Li Zhouping,Liu Xinwei

Funder

National Natural Science Foundation of China

Natural Science Foundation of Gansu Province

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference41 articles.

1. Least squares revisited: Scalable approaches for multi-class prediction;Agarwal,2014

2. Gev-canonical regression for accurate binary class probability estimation when one class is rare;Agarwal,2014

3. A study of the behavior of several methods for balancing machine learning training data;Batista;SIGKDD Explor.,2004

4. Convex Optimization;Boyd,2004

5. Random forests;Breiman;Mach. Learn.,2001

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