1 code implementation • 10 Nov 2022 • Mo Wang, Kexin Lou, Zeming Liu, Pengfei Wei, Quanying Liu
In this paper, we propose a general framework called multi-objective optimization via evolutionary algorithms (MOVEA) to address the non-convex optimization problem in designing TES strategies without predefined direction.
no code implementations • 8 Oct 2022 • Ziyuan Ye, Youzhi Qu, Zhichao Liang, Mo Wang, Quanying Liu
The results show that STpGCN significantly improves brain decoding performance compared to competing baseline models; BrainNetX successfully annotates task-relevant brain regions.
no code implementations • 21 Jul 2017 • Patrice Y. Simard, Saleema Amershi, David M. Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Christopher Meek, Gonzalo Ramos, Jina Suh, Johan Verwey, Mo Wang, John Wernsing
This significantly limits the number of machine learning systems that can be created and has led to a mismatch between the demand for machine learning systems and the ability for organizations to build them.