6 citations · 7 across the 5 of their papers we have counts for
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cs.LG2023★ 1 cited
Evidential Uncertainty Quantification: A Variance-Based Perspective
Ruxiao Duan, Brian Caffo, Harrison X. Bai +2
Uncertainty quantification of deep neural networks has become an active field of research and plays a crucial role in various downstream tasks such as active learning. Recent advan…
eess.IV2023
Applications of Sequential Learning for Medical Image Classification
Sohaib Naim, Brian Caffo, Haris I Sair +1
Purpose: The aim of this work is to develop a neural network training framework for continual training of small amounts of medical imaging data and create heuristics to assess trai…