Author

Fei Meng

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Open access Aug 2026

ASWBoost: Classification algorithm for noisy and imbalanced data based on parametric exponential loss

ASWBoost, a robust boosting algorithm, is proposed by introducing a parameter θ to modify the exponential loss, and significantly outperforms AdaBoost, CS-AdaBoost, GBDT, SMOTEBoost, and RUSBoost, with overall performance comparable to XGBoost.

Fei Meng, Mei Yan, Hang Liu et al. · PLoS ONE · 0 citations