390 citations · 390 across the 2 of their papers we have counts for
2 papers
eess.IV2023
Evidence-empowered Transfer Learning for Alzheimer's Disease
Kai Tzu-iunn Ong, Hana Kim, Minjin Kim +6
Transfer learning has been widely utilized to mitigate the data scarcity problem in the field of Alzheimer's disease (AD). Conventional transfer learning relies on re-using models…
cs.LG2022★ 390 cited
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…