A stability aware meta adaptive framework for imbalance handling in machine learning and computer vision
Machine learning models are widely used in computer vision and classification tasks. However, imbalanced classification biases predictive models toward larger classes, reducing predictive performance for minority classes. To address this challenge, we propose meta-adaptive resampling selection plus plus (MARS + +), a s...