Artículos con órdenes de acceso público - Siuly Siuly (Ranked in the Top 2% of World Researchers)Más información
No disponibles en ningún lugar: 7
A Long Short-term Memory Based Framework for Early Detection of Mild Cognitive Impairment from EEG signals
AM Alvi, S Siuly, H Wang
IEEE Transactions on Emerging Topics in Computational Intelligence, 2022
Órdenes: Australian Research Council
A Matrix Determinant Feature Extraction Approach for Decoding Motor and Mental Imagery EEG in Binary and Multiclass Subject Specific Tasks
MT Sadiq, X Yu, ZY Yuan, MZ Aziz, S Siuly
IEEE Transactions on Cognitive and developmental Systems, 2020
Órdenes: National Natural Science Foundation of China
Automatic and efficient framework for identifying multiple neurological disorders from EEG signals
MNA Tawhid, S Siuly, K Wang, H Wang
IEEE Transactions on Technology and Society 4 (1), 76-86, 2023
Órdenes: Australian Research Council
Neurological Abnormality Detection from Electroencephalography Data: A Review
AM Alvi, S Siuly, W Wang
Artificial Intelligence Review, 2021
Órdenes: Australian Research Council
Developing a Deep Learning Based Approach for Anomalies detection from EEG data
AM Alvi, S Siuly, W Wang
International conference on web information systems engineering (WISE) 2021, 2021
Órdenes: Australian Research Council
Automatic Myocardial Infarction Detection in Contrast Echocardiography Based on Polar Residual Network
Y Guo, GQ Du, WQ Shen, C Du, S Siuly
Computer Methods and Programs in Biomedicine, 2020
Órdenes: National Natural Science Foundation of China
Brain data mining framework involving entropy topography and deep learning
MNA Tawhid, S Siuly, K Wang, H Wang
Australasian Database Conference, 161-168, 2022
Órdenes: Australian Research Council
Disponibles en algún lugar: 14
Medical Big Data: Neurological Diseases Diagnosis Through Medical Data Analysis
S Siuly, Y Zhang
DATA SCIENCE AND ENGINEERING 11, 2016
Órdenes: Australian Research Council, National Natural Science Foundation of China
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
Órdenes: US National Institutes of Health, Australian Research Council
Detection of motor imagery EEG signals employing Naïve Bayes based learning process
S Siuly, H Wang, Y Zhang
Measurement, 2016
Órdenes: Australian Research Council
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
Órdenes: Australian Research Council
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
Órdenes: Australian Research Council
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
Órdenes: National Natural Science Foundation of China
Exploring Sampling in the Detection of Multi-Category EEG Signals
S Siuly, E Kabir, H Wang, Y Zhang
Computational and Mathematical Methods in Medicine, 2015
Órdenes: Australian Research Council, National Natural Science Foundation of China
Diagnosis of Autism spectrum disorder from EEG using a Time-Frequency spectrogram image based approach
MNA Tawhid, S Siuly, H Wang
Electronic Letter, 2020
Órdenes: Australian Research Council
A PCA Aided Cross-Covariance Scheme for Discriminative Feature Extraction From EEG Signals
Z Roozbeh, H Jing, S Siuly, Z Yanchun
Computer Methods and Programs in Biomedicine, 2017
Órdenes: Australian Research Council
An advanced analysis system for identifying alcoholic brain state through EEG signals
S Siuly, V Bajaj, A Sengur, Y Zhang
International Journal of Automation and Computing, 2019
Órdenes: Australian Research Council, National Natural Science Foundation of China
Exploring Douglas Peucker algorithm in the detection of epileptic seizure from multiclass EEG signals
R Zarei, J He, S Siuly, Y Zhang
BioMed Research International, 2019
Órdenes: Australian Research Council
SchizoGoogLeNet: GoogLeNet Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia
S Siuly, Y Li, P Wen, OF Alcin
Computational Intelligence and Neuroscience, 2022
Órdenes: US National Institutes of Health
Textural feature based intelligent approach for abnormality detection from brain signal data
MNA Tawhid, S Siuly, K Wang, F Whittaker, H Wang
Plos One, 2022
Órdenes: Australian Research Council
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