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Yongdong Fan

Showing results (1-10 of 5) with videos related to

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Computational Intelligence and Neuroscience|December 23, 2021
CNN-Based Personal Identification System Using Resting State ElectroencephalographyYongdong Fan, Xiaoyu Shi, Qiong Li
IEEE Journal of Biomedical and Health Informatics|April 7, 2023
A Model-Agnostic Feature Attribution Approach to Magnetoencephalography Predictions Based on Shapley ValueYongdong Fan, Haokun Mao, Qiong Li
Interdisciplinary Sciences, Computational Life Sciences|May 21, 2026
BrainDEC: An M/EEG Unsupervised Representation Learning Framework with Disentangled Equivariance ConstraintXingyuan Song, Qiong Li, Haokun Mao, et al.
Annals of the New York Academy of Sciences|March 12, 2026
Explainable Model Differencing for MEG Decoding via Predict-Probability Differences and Boundary-Optimized RulesYongdong Fan, Qiong Li, Haokun Mao, et al.
IEEE Journal of Biomedical and Health Informatics|February 13, 2024
Magnetoencephalography Decoding Transfer Approach: From Deep Learning Models to Intrinsically Interpretable ModelsYongdong Fan, Qiong Li, Haokun Mao, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Computational Intelligence and Neuroscience|December 23, 2021
CNN-Based Personal Identification System Using Resting State ElectroencephalographyYongdong Fan, Xiaoyu Shi, Qiong Li
IEEE Journal of Biomedical and Health Informatics|April 7, 2023
A Model-Agnostic Feature Attribution Approach to Magnetoencephalography Predictions Based on Shapley ValueYongdong Fan, Haokun Mao, Qiong Li
Interdisciplinary Sciences, Computational Life Sciences|May 21, 2026
BrainDEC: An M/EEG Unsupervised Representation Learning Framework with Disentangled Equivariance ConstraintXingyuan Song, Qiong Li, Haokun Mao, et al.
Annals of the New York Academy of Sciences|March 12, 2026
Explainable Model Differencing for MEG Decoding via Predict-Probability Differences and Boundary-Optimized RulesYongdong Fan, Qiong Li, Haokun Mao, et al.
IEEE Journal of Biomedical and Health Informatics|February 13, 2024
Magnetoencephalography Decoding Transfer Approach: From Deep Learning Models to Intrinsically Interpretable ModelsYongdong Fan, Qiong Li, Haokun Mao, et al.
Pageof 1