QI-SMOTE claims quantum-inspired oversampling improves imbalanced medical classification, but the described VQE step is self-defeating and the evidence is internally inconsistent.
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V.: SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15 -year Anniversary
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Enhancing Machine Learning for Imbalanced Medical Data: A Quantum-Inspired Approach to Synthetic Oversampling (QI-SMOTE)
QI-SMOTE claims quantum-inspired oversampling improves imbalanced medical classification, but the described VQE step is self-defeating and the evidence is internally inconsistent.