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Siuly Siuly (Ranked in the Top 2% of World Researchers)
Siuly Siuly (Ranked in the Top 2% of World Researchers)
Research Fellow, Victoria University, Australia
Verified email at vu.edu.au - Homepage
Title
Cited by
Cited by
Year
EEG Signal Analysis and Classification: Techniques and Applications
S Siuly, Y Li, Y Zhang
Health Information Science, Springer, 2016
302*2016
Clustering technique-based least square support vector machine for EEG signal classification
Siuly, Y Li, P Wen
Computer methods and programs in biomedicine 104 (3), 358-372, 2011
2732011
Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and bootstrap aggregating
AR Hassan, Siuly, Y Zhang
Computer Methods and Programs in Biomedicine, 2016
2402016
Medical Big Data: Neurological Diseases Diagnosis Through Medical Data Analysis
S Siuly, Y Zhang
DATA SCIENCE AND ENGINEERING 11, 2016
2292016
Improving the separability of motor imagery EEG signals using a cross correlation-based least square support vector machine for brain–computer interface
S Siuly, Y Li
IEEE Transactions on Neural Systems and Rehabilitation Engineering 20 (4 …, 2012
2212012
Weighted Visibility Graph with Complex Network Features in the Detection of Epilepsy
Supriya, S Siuly, H Wang, Y Zhang
IEEE Access, 2016
2052016
A Computerized Method for Automatic Detection of Schizophrenia Using EEG Signals
S Siuly, SK Khare, V Bajaj, H Wang, Y Zhang
IEEE Transactions on Neural systems & Rehabilitation Engineering, 2020
1992020
Detection of motor imagery EEG signals employing Naïve Bayes based learning process
S Siuly, H Wang, Y Zhang
Measurement, 2016
1422016
A new framework for automatic detection of patients with mild cognitive impairment using resting-state EEG signals
S Siuly, ÖF Alçin, E Kabir, A Şengür, H Wang, Y Zhang, F Whittaker
IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (9 …, 2020
1332020
Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification
S Siuly, Y Li
Computer Methods and Programs in Biomedicine, 2015
1302015
Epileptic seizure detection from EEG signals using logistic model trees
E Kabir, Siuly, Y Zhang
Brain Informatics 3 (2), 93-100, 2016
1252016
Exploring Deep Learning Features For Automatic Classification Of Human Emotion Using EEG Rhythms
F Demir, N Sobahi, S Siuly, A Sengur
IEEE Sensors Journal, 2021
972021
Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain–computer interface
Siuly, Y Li, P Wen
Computer methods and programs in biomedicine 113 (3), 767-780, 2014
962014
Automated Epilepsy Detection Techniques from EEG Signals: A Review Study
S Supriya, S Siuly, H Wang, Y Zhang
Health Information Science and System, 2020
952020
Features based on analytic IMF for classifying motor imagery EEG signals in BCI applications
S Taran, V Bajaj, D Sharmaa, S Siuly, A Sengur
Measurement, 2017
952017
A Spectrogram Image Based Intelligent Technique for Automatic Detection of Autism Spectrum Disorder from EEG
MNA Tawhid, S Siuly, H Wang, F Whittaker, K Wang, Y Zhang
Plos One, 2021
942021
A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classification
HR Al Ghayab, Y Li, S Siuly, S Abdulla
Journal of neuroscience methods 312, 43-52, 2019
942019
A Flexible Analytic Wavelet Transform Based Approach for Motor-Imagery Tasks Classification in BCI Applications
S Chaudhary, T S., B V., and Siuly S.
Computer Methods and Programs in Biomedicine, 2020
932020
Towards the Development of Versatile Brain-Computer Interfaces
MT Sadiq, X Yu, Z Yuan, MZ Aziza, S Siuly, W Ding
IEEE Transactions on Artificial Intelligence, 2021
882021
Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework
MT Sadiq, MZ Aziz, A Almogren, A Yousaf, S Siuly, AU Rehman
Computers in Biology and Medicine 143, 105242, 2022
852022
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