The Effects of Individual Differences, Non-Stationarity, and the Importance of Data Partitioning Decisions for Training and Testing of EEG Cross-Participant Models
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Title
The Effects of Individual Differences, Non-Stationarity, and the Importance of Data Partitioning Decisions for Training and Testing of EEG Cross-Participant Models
Authors
Keywords
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Journal
SENSORS
Volume 21, Issue 9, Pages 3225
Publisher
MDPI AG
Online
2021-05-06
DOI
10.3390/s21093225
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