Shen, Y., & Lin, Y. (2024). Cross-Day Data Diversity Improves Inter-Individual Emotion Commonality of Spatio-Spectral EEG Signatures Using Independent Component Analysis. IEEE transactions on affective computing, 15(1), 1-15. https://doi.org/10.1109/TAFFC.2023.3261867
Chicago Style (17th ed.) CitationShen, Yi-Wei, and Yuan-Pin Lin. "Cross-Day Data Diversity Improves Inter-Individual Emotion Commonality of Spatio-Spectral EEG Signatures Using Independent Component Analysis." IEEE Transactions on Affective Computing 15, no. 1 (2024): 1-15. https://doi.org/10.1109/TAFFC.2023.3261867.
MLA (9th ed.) CitationShen, Yi-Wei, and Yuan-Pin Lin. "Cross-Day Data Diversity Improves Inter-Individual Emotion Commonality of Spatio-Spectral EEG Signatures Using Independent Component Analysis." IEEE Transactions on Affective Computing, vol. 15, no. 1, 2024, pp. 1-15, https://doi.org/10.1109/TAFFC.2023.3261867.