Refereed journal articles
Siuly, Yin, X., Hadjiloucas, S. and Zhang, Y. (2016). Classification of THz pulse signals using two-dimensional cross-correlation feature extraction and non-linear classifiers. Computer Methods and Programs in Biomedicine, 127, pp.64-82.
Supriya, Siuly, Wang H., Cao J. and Zhang Y. (2016). Weighted visibility graph with complex network features in the detection of epilepsy. IEEE Access, DOI 10.1109/ACCESS.2016.2612242.
Alçin, Ö. F., Siuly, Bajaj, V., Guo, Y., Şengur, A. and Zhang, Y. (2016). Multi-category EEG signal classification developing Time-Frequency Texture Features based Fisher Vector encoding method. Neurocomputing, DOI: 10.1016/j.neucom.2016.08.050 (in Press).
Siuly, Wang, H. and Zhang, Y. (2016). Detection of motor imagery EEG signals employing Naïve Bayes based learning process. Measurement, 86, pp.148-158.
Hassan, A. R., Siuly and Zhang, Y. (2016). Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and Bootstrap aggregating. Computer Methods and programs in Biomedicine, Computer Methods and Programs in Biomedicine, 137, 247–259.
Peer reviewed conference papers
Supriya, S., Siuly, S., Wang, H., Zhuo, G. and Zhang, Y. (2016). Analyzing EEG signal data for detection of epileptic seizure: Introducing Weight on Visibility Graph with Complex Network Feature. Australasian Database Conference (ADC) 2016. LNCS 9877, pp. 56–66, 2016.
Siuly, Li, Y., Wu, J. And Yang, J. (2011) ‘Developing a Logistic Regression Model with Cross-Correlation for Motor Imagery Signal Recognition’, The proceedings of the 2011 IEEEIICME International Conference on Complex Medical Engineering May 22-25, Harbin, China, pp. 502-507.
