44 citations · 44 across the 4 of their papers we have counts for
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eess.IV2021
Unsupervised cross domain learning with applications to 7 layer segmentation of OCTs
Yue Wu, Abraham Olvera Barrios, Ryan Yanagihara +4
Unsupervised cross domain adaptation for OCT 7 layer segmentation and other medical applications where labeled training data is only available in a source domain and unavailable in…
stat.ME2021
Generalized Permutation Framework for Testing Model Variable Significance
Yue Wu, Ted Spaide, Kenji Nakamichi +2
A common problem in machine learning is determining if a variable significantly contributes to a model's prediction performance. This problem is aggravated for datasets, such as ge…