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Found 3 papers, 1 papers with code
Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays
Therefore, we formulate the problem of identifying early cases in a pandemic as an anomaly detection problem, in which the data for healthy patients is abundantly available, whereas no training data is present for the class of interest (COVID-19 in our case).
A Hybrid Instance-based Transfer Learning Method
Transfer learning can help overcome this issue by transferring the knowledge from readily available datasets (source) to a new dataset (target).
Subspace Selection to Suppress Confounding Source Domain Information in AAM Transfer Learning
We propose a subspace transfer learning method, in which we select a subspace from the source that best describes the target space.
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