A MIP-based ensemble weighting scheme jointly selects K classifiers and assigns per-class weights; it reports average balanced accuracy gains of 4.53% over six baselines on four imbalanced CPS datasets.
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Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach
A MIP-based ensemble weighting scheme jointly selects K classifiers and assigns per-class weights; it reports average balanced accuracy gains of 4.53% over six baselines on four imbalanced CPS datasets.