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Ping-Keng Jao

Showing results (1-10 of 4) with videos related to

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Frontiers in Computational Neuroscience|August 4, 2017
Improving Cross-Day EEG-Based Emotion Classification Using Robust Principal Component AnalysisYuan-Pin Lin, Ping-Keng Jao, Yi-Hsuan Yang
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Using Robust Principal Component Analysis to Reduce EEG Intra-Trial VariabilityPing-Keng Jao, Ricardo Chavarriaga, Jose Del R Millan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Using robust principal component analysis to alleviate day-to-day variability in EEG based emotion classificationPing-Keng Jao, Yuan-Pin Lin, Yi-Hsuan Yang, et al.
IEEE Journal of Biomedical and Health Informatics|June 27, 2022
Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions With DronesFabio DellrAgnola, Ping-Keng Jao, Adriana Arza, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Frontiers in Computational Neuroscience|August 4, 2017
Improving Cross-Day EEG-Based Emotion Classification Using Robust Principal Component AnalysisYuan-Pin Lin, Ping-Keng Jao, Yi-Hsuan Yang
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Using Robust Principal Component Analysis to Reduce EEG Intra-Trial VariabilityPing-Keng Jao, Ricardo Chavarriaga, Jose Del R Millan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Using robust principal component analysis to alleviate day-to-day variability in EEG based emotion classificationPing-Keng Jao, Yuan-Pin Lin, Yi-Hsuan Yang, et al.
IEEE Journal of Biomedical and Health Informatics|June 27, 2022
Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions With DronesFabio DellrAgnola, Ping-Keng Jao, Adriana Arza, et al.
Pageof 1