A review of irregular time series data handling with gated recurrent neural networks PB Weerakody, KW Wong, G Wang, W Ela Neurocomputing 441, 161-178, 2021 | 339 | 2021 |
Seizure classification from EEG signals using transfer learning, semi-supervised learning and TSK fuzzy system Y Jiang, D Wu, Z Deng, P Qian, J Wang, G Wang, FL Chung, KS Choi, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (12 …, 2017 | 250 | 2017 |
Recognition of epileptic EEG signals using a novel multiview TSK fuzzy system Y Jiang, Z Deng, FL Chung, G Wang, P Qian, KS Choi, S Wang IEEE Transactions on Fuzzy Systems 25 (1), 3-20, 2016 | 210 | 2016 |
Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis SWH Kwok, SK Vadde, G Wang Journal of Medical Internet Research 23 (5), e26953, 2021 | 205 | 2021 |
Prediction of mortality after radical cystectomy for bladder cancer by machine learning techniques G Wang, KM Lam, Z Deng, KS Choi Computers in biology and medicine 63, 124-132, 2015 | 106 | 2015 |
Detection of epilepsy with Electroencephalogram using rule-based classifiers G Wang, Z Deng, KS Choi Neurocomputing 228, 283-290, 2017 | 64 | 2017 |
Deep additive least squares support vector machines for classification with model transfer G Wang, G Zhang, KS Choi, J Lu IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (7), 1527-1540, 2017 | 63 | 2017 |
A transfer-based additive LS-SVM classifier for handling missing data G Wang, J Lu, KS Choi, G Zhang IEEE transactions on cybernetics 50 (2), 739-752, 2018 | 62 | 2018 |
A deep-ensemble-level-based interpretable Takagi–Sugeno–Kang fuzzy classifier for imbalanced data G Wang, T Zhou, KS Choi, J Lu IEEE transactions on cybernetics 52 (5), 3805-3818, 2020 | 53 | 2020 |
AUC-based extreme learning machines for supervised and semi-supervised imbalanced classification G Wang, KW Wong, J Lu IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (12), 7919-7930, 2020 | 46 | 2020 |
Enhancement of prostate cancer diagnosis by machine learning techniques: an algorithm development and validation study PKF Chiu, X Shen, G Wang, CL Ho, CH Leung, CF Ng, KS Choi, ... Prostate Cancer and Prostatic Diseases 25 (4), 672-676, 2022 | 44 | 2022 |
Tackling missing data in community health studies using additive LS-SVM classifier G Wang, Z Deng, KS Choi IEEE journal of biomedical and health informatics 22 (2), 579-587, 2016 | 41 | 2016 |
Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis G Wang, G Zhang, KS Choi, KM Lam, J Lu Neurocomputing 387, 279-292, 2020 | 34 | 2020 |
Driver Fatigue Detection via Differential Evolution Extreme Learning Machine Technique L Chen, X Zhi, H Wang, G Wang, Z Zhou, A Yazdani, X Zheng Electronics 9 (11), 1850, 2020 | 33 | 2020 |
TSK fuzzy system fusion at sensitivity-ensemble-level for imbalanced data classification Y Zhang, G Wang, X Huang, W Ding Information Fusion 92, 350-362, 2023 | 30 | 2023 |
Diagnosis of prostate cancer in a Chinese population by using machine learning methods G Wang, JYC Teoh, KS Choi 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 30 | 2018 |
Takagi-Sugeno-Kang fuzzy system fusion: A survey at hierarchical, wide and stacked levels Y Zhang, G Wang, T Zhou, X Huang, S Lam, J Sheng, KS Choi, J Cai, ... Information Fusion 101, 101977, 2024 | 25 | 2024 |
Cyclic gate recurrent neural networks for time series data with missing values PB Weerakody, KW Wong, G Wang Neural Processing Letters 55 (2), 1527-1554, 2023 | 21 | 2023 |
Detection of epileptic seizures in EEG signals with rule-based interpretation by random forest approach G Wang, Z Deng, KS Choi International Conference on Intelligent Computing, 738-744, 2015 | 21 | 2015 |
Using K-Means Clustering Method with Doc2Vec to Understand the Twitter Users’ Opinions on COVID-19 Vaccination G Wang, SWH Kwok 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021 | 20 | 2021 |