2 papers
cs.CV2025
Latents of latents to delineate pixels: hybrid Matryoshka autoencoder-to-U-Net pairing for segmenting large medical images in GPU-poor and low-data regimes
Tahir Syed, Ariba Khan, Sawera Hanif
Medical images are often high-resolution and lose important detail if downsampled, making pixel-level methods such as semantic segmentation much less efficient if performed on a lo…
cs.LG2021
Developing a novel fair-loan-predictor through a multi-sensitive debiasing pipeline: DualFair
Jashandeep Singh, Arashdeep Singh, Ariba Khan +1
Machine learning (ML) models are increasingly used for high-stake applications that can greatly impact people's lives. Despite their use, these models have the potential to be bias…