3 citations · 9 across the 7 of their papers we have counts for
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cs.LG2025★ 2 cited
Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework
Nathan Drenkow, Mitchell Pavlak, Keith Harrigian +5
Artificial Intelligence (AI) is now firmly at the center of evidence-based medicine. Despite many success stories that edge the path of AI's rise in healthcare, there are comparabl…
cs.LG2020★ 2 cited
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
Joshua C. Chang, Patrick Fletcher, Jungmin Han +5
Dimensionality reduction methods for count data are critical to a wide range of applications in medical informatics and other fields where model interpretability is paramount. For…