QSMOTE improves non-linear classifiers on imbalanced industrial datasets, and random forests/SVMs tolerate quantum-inspired noise better than linear or naive-Bayes models.
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Noisy-QSMOTE: Robustness Analysis of Quantum SMOTE under Quantum-Inspired Noise for Condition Monitoring and Fault Classification in Industrial and Energy Systems
QSMOTE improves non-linear classifiers on imbalanced industrial datasets, and random forests/SVMs tolerate quantum-inspired noise better than linear or naive-Bayes models.