Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task AutoencoderApiwat Ditthapron, Theerawit Wilaiprasitporn, Nannapas Banluesombatkul et al.|IEEE Access|2019Cited by 93
Towards Asynchronous Motor Imagery-Based Brain-Computer Interfaces: a joint training scheme using deep learningPatcharin Cheng, Theerawit Wilaiprasitporn, Boriwat Pijarana et al.|Unknown|2018Cited by 8
Neural network interpretation of the Parkinson's disease diagnosis from SPECT imagingTheerasarn Pianpanit, Theerawit Wilaiprasitporn, Ekapol Chuangsuwanich et al.|arXiv (Cornell University)|2019Cited by 2
MetaSleepLearner: Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning.Nannapas Banluesombatkul, Theerawit Wilaiprasitporn, Payongkit Lakhan et al.|arXiv (Cornell University)|2020Cited by 1
A comparative study for interpreting deep learning prediction of the Parkinson's disease diagnosis from SPECT imaging.Theerasarn Pianpanit, Theerawit Wilaiprasitporn, Ekapol Chuangsuwanich et al.|arXiv (Cornell University)|2019Cited by 0