Modern Machine-Learning Algorithms: For Classifying Cognitive and Affective States From Electroencephalography Signals

Appriou Aurelien; Cichocki Andrzej; Lotte Fabien

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Modern Machine-Learning Algorithms: For Classifying Cognitive and Affective States From Electroencephalography Signals

机译：现代机器学习算法：用于从脑电图信号进行分类和情感状态

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《IEEE Systems, Man, and Cybernetics Magazine》 |2020年第3期|29-38|共10页
作者
Appriou Aurelien; Cichocki Andrzej; Lotte Fabien;
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作者单位

Inria Bordeaux Sud Ouest Talence France|European Res Council BrainConquest Project Brussels Belgium;

Univ Erlangen Nuerenberg Erlangen Germany|RIKEN Brain Sci Inst Adv Brain Signal Proc Lab Tokyo Japan;

Inria Bordeaux Sud Ouest Potioc Team Talence France;

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Modern Machine-Learning Algorithms: For Classifying Cognitive and Affective States From Electroencephalography Signals

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