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Yi-Kai Li

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Open access Aug 2026

DMAE: dual-memory active ensemble learning for multi-class imbalanced concept-drifting data streams

This work proposes DMAE, a dual-memory active ensemble learning method for multiclass imbalanced concept-drifting data streams, and proposes a composite sample-weighting formulation, PCN-Weight, which jointly models boundary difficulty, class-imbalance status, sample–prototype relations, and temporal decay to guide inc...

Meng Han, Ya-Jie Xue, Yi-Kai Li et al. · 0 citations

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