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Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization


Feb 28, 2021
Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu


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Edge Sparse Basis Network: An Deep Learning Framework for EEG Source Localization


Feb 18, 2021
Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu


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Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review


Feb 05, 2021
Jie Yuan, Xuming Ran, Keyin Liu, Chen Yao, Yi Yao, Haiyan Wu, Quanying Liu


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HyperNTF: A Hypergraph Regularized Nonnegative Tensor Factorization for Dimensionality Reduction


Jan 26, 2021
Wanguang Yin, Zhengming Ma, Quanying Liu

* 12 pages, 6 figures, 9 tables 

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Riemannian-based Discriminant Analysis for Feature Extraction and Classification


Jan 26, 2021
Wanguang Yin, Zhengming Ma, Quanying Liu

* 12 pages, 4 figures, 6 tables 

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Bigeminal Priors Variational auto-encoder


Oct 05, 2020
Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu


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Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation


Jul 16, 2020
Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu


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Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning


Jun 13, 2019
Quanying Liu, Haiyan Wu, Anqi Liu

* Real-world Sequential Decision Making Workshop at ICML 2019 

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