E. YAVUZ And Ö. Aydemir, "Improving Classification Accuracy of EEG based Brain Computer Interface Signals by Extracting Features from Effective Time Segments," XX. Biyomedikal Mühendisliği Ulusal Toplantısı(BİYOMUT 2016) , İzmir, Turkey, pp.1-5, 2016
YAVUZ, E. And Aydemir, Ö. 2016. Improving Classification Accuracy of EEG based Brain Computer Interface Signals by Extracting Features from Effective Time Segments. XX. Biyomedikal Mühendisliği Ulusal Toplantısı(BİYOMUT 2016) , (İzmir, Turkey), 1-5.
YAVUZ, E., & Aydemir, Ö., (2016). Improving Classification Accuracy of EEG based Brain Computer Interface Signals by Extracting Features from Effective Time Segments . XX. Biyomedikal Mühendisliği Ulusal Toplantısı(BİYOMUT 2016) (pp.1-5). İzmir, Turkey
YAVUZ, EBRU, And Önder Aydemir. "Improving Classification Accuracy of EEG based Brain Computer Interface Signals by Extracting Features from Effective Time Segments," XX. Biyomedikal Mühendisliği Ulusal Toplantısı(BİYOMUT 2016), İzmir, Turkey, 2016
YAVUZ, EBRU And Aydemir, Önder. "Improving Classification Accuracy of EEG based Brain Computer Interface Signals by Extracting Features from Effective Time Segments." XX. Biyomedikal Mühendisliği Ulusal Toplantısı(BİYOMUT 2016) , İzmir, Turkey, pp.1-5, 2016
YAVUZ, E. And Aydemir, Ö. (2016) . "Improving Classification Accuracy of EEG based Brain Computer Interface Signals by Extracting Features from Effective Time Segments." XX. Biyomedikal Mühendisliği Ulusal Toplantısı(BİYOMUT 2016) , İzmir, Turkey, pp.1-5.
@conferencepaper{conferencepaper, author={EBRU ERGÜN And author={Önder Aydemir}, title={Improving Classification Accuracy of EEG based Brain Computer Interface Signals by Extracting Features from Effective Time Segments}, congress name={XX. Biyomedikal Mühendisliği Ulusal Toplantısı(BİYOMUT 2016)}, city={İzmir}, country={Turkey}, year={2016}, pages={1-5} }