3 papers
cs.LG2024
Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models
Zhiwei Li, Carl Kesselman, Mike D'Arch +2
Increasingly, artificial intelligence (AI) and machine learning (ML) are used in eScience applications [9]. While these approaches have great potential, the literature has shown th…
cs.CV2024
ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization
Hong Nguyen, Hoang Nguyen, Melinda Chang +3
Understanding the severity of conditions shown in images in medical diagnosis is crucial, serving as a key guide for clinical assessment, treatment, as well as evaluating longitudi…
eess.IV2023
Explainable Severity ranking via pairwise n-hidden comparison: a case study of glaucoma
Hong Nguyen, Cuong V. Nguyen, Shrikanth Narayanan +2
Primary open-angle glaucoma (POAG) is a chronic and progressive optic nerve condition that results in an acquired loss of optic nerve fibers and potential blindness. The gradual on…