feature-augmentation

The paper introduces Local Reference Geometry (LRG), a lightweight post-hoc feature augmentation module that enhances local feature reliability for minority classes in imbalanced time series classification by measuring and repairing geometry failures.

This paper introduces AquaAugmentor, a novel feature augmentation algorithm to enhance the predictive performance of machine learning and deep learning models for water potability classification using chemical attributes.

Proposes Parallel Quantum Feature Augmentation (PQFA), a hybrid quantum-classical framework that applies shallow variational quantum circuits to enhance fused multimodal features, outperforming classical baselines with fewer parameters.