Shared Space Transfer Learning for analyzing multi-site fMRI data Muhammad Y ousefnezhad

This paper proposes the Shared Space Transfer Learning (SSTL) as a novel transfer learning (TL) approach that can functionally align homogeneous multi-site fMRI datasets, and so improve the prediction performance in every site.