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The AI Seminar is a weekly meeting at the University of Alberta where researchers interested in artificial intelligence (AI) can share their research. Presenters include both local speakers from the University of Alberta and visitors from other institutions. Topics can be related in any way to artificial intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems.
On August 13, Tony M. Yousefnezhad (Postdoctoral Fellow at the Department of Computing Science and the Department of Psychiatry at the University of Alberta) presented “Shared Space Transfer Learning for analyzing multi-site fMRI data" at the AI Seminar.
In this talk, Tony discusses his 2020 NeurIPS paper which proposes the Shared Space Transfer Learning (SSTL) as a novel transfer learning (TL) approach that can functionally align homogeneous multi-site fMRI datasets, improving the prediction performance in every site.
Watch the full presentation below:
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