邓欣
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教授
- 主要任职：数据工程系主任
- 其他任职：数据工程与可视计算重点实验室副主任
- 性别：男
- 毕业院校：新加坡国立大学
- 学历：研究生(博士)毕业
- 学位：工学博士
- 在职信息：在岗
- 所在单位：人工智能学院
- 办公地点：信科1808
- 联系电话：QQ:88561618
- 电子邮箱：8fc2a2674b3c9655c607ec5921f19d8d89c1e79dbe28556d169c2b63bf75bd2812085bec13f64de57515755da6e5254b701b919b27585573b37cfae2d6c0d3a2da79c60a997d9c1926a82c94ddd0625b1d6ce90f3daeb4adc5d0e873446771120e23db41b179a3125d1851b459fff241a2663fd4086b34cbeef36a44ab2cfd4a
访问量：
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[11] 邓欣，张家豪,王进,杨鹏飞.融合运动想象脑电与眼电信号的机械臂控制系统开发.[J].智能系统学报,2022
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[12] 邓欣，王进,孙开伟,张博宪,米建勋.基于多域特征与随机子空间集成的脑电分类.[J].系统仿真学报,2020,32(9):1787-1798.
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[13] Li Zhenghua，Deng Xin.Spatial fusion of maximum signal fraction analysis for frequency recognition in SSVEP-based BCI.[J].Biomedical Signal Processing and Control,2020,61:1-11.
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[14] 基于稀疏表示的脑电（EEG）情感分类.[J].计算机应用研究,2019,36(3):801-806.
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[15] 基于相关滤波的仪表定位方法.[J].电子测量与仪器学报,2019,33(5):102-110.
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[16] 基于多域特征与随机子空间集成的脑电分类.[J].系统仿真学报,2020,32(9):1787-1798.
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[17] A feature extraction method based on multi-rhythmic and co-space modes for P300 potential.[C].Proc. of the IEEE 7th Data Driven Control and Learning Systems Conference,2019
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[18] Deep LSTM Transfer Learning for Personalized ECG Anomaly Detection on Wearable Devices.[C].Proc. of the International Conference on Cognitive Systems and Information Processing,2020
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[19] A WeChat Mini-program System with LSTM for The Emotional EEG Signal Recognition.[C].Proc. of The 2nd International Conference on Industrial Artificial Intelligence,2020
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[20] EEG Identification based on Brain Functional Network and Autoregressive Model.[C].Proc. of IEEE 7th Data Driven Control and Learning Systems Conference,2020
