A stability aware meta adaptive framework for imbalance handling in machine learning and computer vision

Diagnosing Failure Modes of Causal Gating in Chest X-Ray Classification: A Reproducibility Study on CheXpert

Bootstrap-Driven Feature Weighting For Stable k-NN Performance

Enhanced convolutional neural networks by using adaptive conditional dropout with dynamic regularization

A lightweight, GPU-accelerated batch image encryption framework with integrated ECC and multi-attack resilience

Enhancing Image Quality by Optimizing and Fine-Tuning Multi-Fidelity Generative Adversarial Networks