Siuly Siuly
Orcid: 0000-0003-2491-0546Affiliations:
- Victoria University, Melbourne, Australia
- University of Southern Queensland, Toowoomba, Australia
According to our database1,
Siuly Siuly
authored at least 69 papers
between 2009 and 2024.
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Bibliography
2024
GENet: A Generic Neural Network for Detecting Various Neurological Disorders From EEG.
IEEE Trans. Cogn. Dev. Syst., October, 2024
Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network.
Comput. Biol. Medicine, 2024
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024
2023
Health Inf. Sci. Syst., December, 2023
A Long Short-Term Memory Based Framework for Early Detection of Mild Cognitive Impairment From EEG Signals.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023
An optimized artificial intelligence based technique for identifying motor imagery from EEGs for advanced brain computer interface technology.
Neural Comput. Appl., March, 2023
An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification.
Int. J. Medical Informatics, March, 2023
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition.
Comput. Methods Programs Biomed., February, 2023
Proceedings of the Health Information Science - 12th International Conference, 2023
Analyzing Health Risks Resulting from Unplanned Land Use Plan and Structure: A Case Study in Historic Old Dhaka.
Proceedings of the Health Information Science - 12th International Conference, 2023
2022
A Convolutional Long Short-Term Memory-Based Neural Network for Epilepsy Detection From EEG.
IEEE Trans. Instrum. Meas., 2022
A Matrix Determinant Feature Extraction Approach for Decoding Motor and Mental Imagery EEG in Subject-Specific Tasks.
IEEE Trans. Cogn. Dev. Syst., 2022
Knowl. Based Syst., 2022
Identification of normal and depression EEG signals in variational mode decomposition domain.
Health Inf. Sci. Syst., 2022
Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework.
Comput. Biol. Medicine, 2022
Artif. Intell. Rev., 2022
Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG.
Proceedings of the Health Information Science - 11th International Conference, 2022
DRAM-Net: A Deep Residual Alzheimer's Diseases and Mild Cognitive Impairment Detection Network Using EEG Data.
Proceedings of the Health Information Science - 11th International Conference, 2022
Proceedings of the Databases Theory and Applications, 2022
Proceedings of the Databases Theory and Applications, 2022
Challenges in Electroencephalography Data Processing Using Machine Learning Approaches.
Proceedings of the Databases Theory and Applications, 2022
2021
EEG Sleep Stages Analysis and Classification Based on Weighed Complex Network Features.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
IEEE Trans. Artif. Intell., 2021
Health Inf. Sci. Syst., 2021
Automatic myocardial infarction detection in contrast echocardiography based on polar residual network.
Comput. Methods Programs Biomed., 2021
A novel computer-aided diagnosis framework for EEG-based identification of neural diseases.
Comput. Biol. Medicine, 2021
Artif. Intell. Medicine, 2021
An Efficient Gabor Walsh-Hadamard Transform Based Approach for Retrieving Brain Tumor Images From MRI.
IEEE Access, 2021
Data Mining Based Artificial Intelligent Technique for Identifying Abnormalities from Brain Signal Data.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021
Auto-correlation Based Feature Extraction Approach for EEG Alcoholism Identification.
Proceedings of the Health Information Science - 10th International Conference, 2021
A Novel Alcoholic EEG Signals Classification Approach Based on AdaBoost k-means Coupled with Statistical Model.
Proceedings of the Health Information Science - 10th International Conference, 2021
An Automatic Scheme with Diagnostic Index for Identification of Normal and Depression EEG Signals.
Proceedings of the Health Information Science - 10th International Conference, 2021
2020
Automated epilepsy detection techniques from electroencephalogram signals: a review study.
Health Inf. Sci. Syst., 2020
Guest Editorial: Special issue on "Application of artificial intelligence in health research".
Health Inf. Sci. Syst., 2020
A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications.
Comput. Methods Programs Biomed., 2020
2019
Epileptic seizures detection in EEGs blending frequency domain with information gain technique.
Soft Comput., 2019
Int. J. Autom. Comput., 2019
An Advanced Analysis System for Identifying Alcoholic Brain State Through EEG Signals.
Int. J. Autom. Comput., 2019
2018
Int. J. Comput. Intell. Syst., 2018
Epileptic EEG signal classification using optimum allocation based power spectral density estimation.
IET Signal Process., 2018
Health Inf. Sci. Syst., 2018
Alcoholic Brain State Identification from Brain Signals Using Support Vector Machine-Based Algorithm.
Proceedings of International Joint Conference on Computational Intelligence, 2018
Proceedings of the Health Information Science - 7th International Conference, 2018
A New Way of Channel Selection in the Motor Imagery Classification for BCI Applications.
Proceedings of the Health Information Science - 7th International Conference, 2018
Proceedings of the Databases Theory and Applications, 2018
2017
A hybrid method based on time-frequency images for classification of alcohol and control EEG signals.
Neural Comput. Appl., 2017
An optimum allocation sampling based feature extraction scheme for distinguishing seizure and seizure-free EEG signals.
Health Inf. Sci. Syst., 2017
Using neutrosophic graph cut segmentation algorithm for qualified rendering image selection in thyroid elastography video.
Health Inf. Sci. Syst., 2017
A PCA aided cross-covariance scheme for discriminative feature extraction from EEG signals.
Comput. Methods Programs Biomed., 2017
Developing a Tunable Q-Factor Wavelet Transform Based Algorithm for Epileptic EEG Feature Extraction.
Proceedings of the Health Information Science - 6th International Conference, 2017
Proceedings of the Databases Theory and Applications, 2017
2016
Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method.
Neurocomputing, 2016
Data Sci. Eng., 2016
Classification of THz pulse signals using two-dimensional cross-correlation feature extraction and non-linear classifiers.
Comput. Methods Programs Biomed., 2016
Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and bootstrap aggregating.
Comput. Methods Programs Biomed., 2016
Brain Informatics, 2016
Weighted Visibility Graph With Complex Network Features in the Detection of Epilepsy.
IEEE Access, 2016
Analyzing EEG Signal Data for Detection of Epileptic Seizure: Introducing Weight on Visibility Graph with Complex Network Feature.
Proceedings of the Databases Theory and Applications, 2016
Health Information Science, Springer, ISBN: 978-3-319-47653-7, 2016
2015
Discriminating the brain activities for brain-computer interface applications through the optimal allocation-based approach.
Neural Comput. Appl., 2015
Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification.
Comput. Methods Programs Biomed., 2015
Comput. Math. Methods Medicine, 2015
2014
Eng. Appl. Artif. Intell., 2014
Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain-computer interface.
Comput. Methods Programs Biomed., 2014
2013
Identification of motor imagery tasks through CC-LR algorithm in brain computer interface.
Int. J. Bioinform. Res. Appl., 2013
2011
Clustering technique-based least square support vector machine for EEG signal classification.
Comput. Methods Programs Biomed., 2011
2009
Classification of EEG Signals Using Sampling Techniques and Least Square Support Vector Machines.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009