HIGHLIGHTS
- who: Samuel H. Waters from the Department of Bioengineering, Atlanta, United States, Emory University have published the research work: Comparison of deep transfer learning algorithms and transferability measures for wearable sleep staging, in the Journal: (JOURNAL)
- what: For this work, the authors also used a modified version of CORAL of the own design which takes class into account when learning the transformations. That is, DDC works by incentivizing the model to learn a similar hidden-layer representation across both source and target datasets, so if the layer it is applied to already generalizes well between . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.