【基本信息】

姓名：谭学敏

职称：讲师

出生年月：1987年4月

电子邮件：tan_xue_min@126.com

【个人简介】

毕业于重庆大学，电气工程专业，工学博士。以第一作者身份发表论文6篇，其中5篇被SCI和EI工程索引等收录。取得授权专利2项（以第一发明人获得2项）。

【研究方向】

机器学习、模式识别、脑机接口、故障诊断

【主要成果】

论文著作

Xuemin Tan, Minyou Chen, Li Zhang and Wenjuan jian. Batch mode MS-based and entropy- based active learning for multiclass brain-computer interface (BCI)[J]. Journal of Computational Information Systems, 2014, 10(21): 9153-9160.

Xuemin Tan, Minyou Chen and John Q. Gan. A co-training algorithm based on modifiedfisher’s linear discriminant analysis[J]. Intelligent data analysis, 2015, 9(2):279-292.

Xuemin Tan, Chao Guo, Tao Jiang, Kechang Fu. A sequential updating self-training with segmented common spatial pattern algorithm for brain computer interface system[J]. Journal of medical imaging and health informatics.2019, 9(4):715-723.

谭学敏,郭超.半监督学习的运动想象脑电信号分类[J].计算机工程与应用.2020,56(3):139-145.

Xuemin Tan, Chao Guo, Tao Jiang, Kechang Fu, Nan Zhou, Jianying Yuan and Guoliang Zhang. A new semi-supervised algorithm combined with MCICA optimizing SVM for motion imagination EEG classification[J]. Intelligent data analysis, 2021, 25(4):863-877.

Xuemin Tan, Chao Guo, Ke Wang, Fu Wan. A novel two-stage dissolved gas analysis fault diagnosis system based semi-supervised learning[J]. High Voltage, 2022.

专利与获奖

谭学敏,周楠,郭超.一种高压电缆终端特高频或超声波局放测试支架(ZL201920849979.8), 2020.04.

谭学敏,郭超,周楠.一种高压电