Improving Generalization Performance of Deep Learning for Brain-Computer Interface: Effects of Data Augmentation and Batch Size Strategy.

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dc.contributor.advisorChang Nam, Chair
dc.contributor.advisorEmily Hector, Minor
dc.contributor.advisorYunan Liu, Member
dc.contributor.advisorSara Shashaani, Member
dc.contributor.advisorKevin Flores, Member
dc.contributor.advisorDaniel Gruehn, Graduate School Representative
dc.contributor.authorChoo, Sanghyun
dc.date.accepted2022-06-27
dc.date.accessioned2022-06-28T12:30:23Z
dc.date.available2022-06-28T12:30:23Z
dc.date.defense2022-06-01
dc.date.issued2022-06-01
dc.date.released2022-06-28
dc.date.reviewed2022-06-16
dc.date.submitted2022-06-13
dc.degree.disciplineIndustrial Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg29951
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/39748
dc.titleImproving Generalization Performance of Deep Learning for Brain-Computer Interface: Effects of Data Augmentation and Batch Size Strategy.

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