GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition

Yong Peng, Feiwei Qin, Wanzeng Kong, Yuan Ge, Feiping Nie, Andrzej Cichocki

Research output: Contribution to journal › Article › peer-review

59 Scopus citations

Fingerprint

Dive into the research topics of 'GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition'. Together they form a unique fingerprint.

Computer Science