The Effects of Individual Differences, Non-Stationarity, and the Importance of Data Partitioning Decisions for Training and Testing of EEG Cross-Participant Models

标题
The Effects of Individual Differences, Non-Stationarity, and the Importance of Data Partitioning Decisions for Training and Testing of EEG Cross-Participant Models
作者
关键词
-
出版物
SENSORS
Volume 21, Issue 9, Pages 3225
出版商
MDPI AG
发表日期
2021-05-06
DOI
10.3390/s21093225

向作者/读者发起求助以获取更多资源

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More