121 citations · 276 across the 7 of their papers we have counts for
13 papers
Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality
Kailas Vodrahalli, Justin Ko, Albert S. Chiou +7
Telemedicine utilization was accelerated during the COVID-19 pandemic, and skin conditions were a common use case. However, the quality of photographs sent by patients remains a ma…
Clustering Plotted Data by Image Segmentation
Tarek Naous, Srinjay Sarkar, Abubakar Abid +1
Clustering algorithms are one of the main analytical methods to detect patterns in unlabeled data. Existing clustering methods typically treat samples in a dataset as points in a m…
Persistent Anti-Muslim Bias in Large Language Models
Abubakar Abid, Maheen Farooqi, James Zou
It has been observed that large-scale language models capture undesirable societal biases, e.g. relating to race and gender; yet religious bias has been relatively unexplored. We d…
MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning
Kexin Huang, Tianfan Fu, Dawood Khan +7
The efficacy of a drug depends on its binding affinity to the therapeutic target and pharmacokinetics. Deep learning (DL) has demonstrated remarkable progress in predicting drug ef…
Improving Training on Noisy Stuctured Labels
Abubakar Abid, James Zou
Fine-grained annotations---e.g. dense image labels, image segmentation and text tagging---are useful in many ML applications but they are labor-intensive to generate. Moreover ther…
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
Abubakar Abid, Ali Abdalla, Ali Abid +3
Accessibility is a major challenge of machine learning (ML). Typical ML models are built by specialists and require specialized hardware/software as well as ML experience to valida…