Nature

A meta-learning framework to mitigate negative transfer in transfer learning applicable to drug design

Data sparseness is a major limiting factor for deep machine learning. In the natural sciences, data distributions are heterogeneous. For instance, in chemistry and early-phase drug discovery, compound ...
Nature

Transfer learning in DeepLC improves LC retention time prediction across substantially different modifications and setups

While LC retention time prediction of peptides and their modifications has proven useful, widespread adoption and optimal performance are hindered by variations in experimental parameters. These ...
EurekAlert!

Transfer learning in motor imagery brain computer interface: a review

Mingai Li, received her B.Sc. degree and M.Sc. degree from Daqing Petroleum Institute, Heilongjiang, China, in 1987 and 1990 respectively, and Ph.D. degree from Beijing University of Technology, ...