重庆邮电大学教师主页邓欣--Home-- A novel multi-source contrastive learning approach for robust cross-subject emotion recognition in EEG data

location： Current position: Home >> Scientific Research >> Paper Publications

A novel multi-source contrastive learning approach for robust cross-subject emotion recognition in EEG data

Hits:

Title of Paper:A novel multi-source contrastive learning approach for robust cross-subject emotion recognition in EEG data

Journal:Biomedical Signal Processing and Control

Indexed by:Unit Twenty Basic Research

Discipline:Engineering

First-Level Discipline:电子与信息类

Document Type:J

Volume:97

Page Number:106716

Translation or Not:no

Date of Publication:2024-08-01

Included Journals:SCI

Pre One:Multi-level hierarchical dynamic graph convolutional networks for motor imagery EEG analysis

Next One:Graph-based Information Separator and Area Convolutional Network for EEG-based Intention Decoding