Guanjin Wang
Cited by
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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
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
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
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
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
Detection of epilepsy with Electroencephalogram using rule-based classifiers
G Wang, Z Deng, KS Choi
Neurocomputing 228, 283-290, 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
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
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
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
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
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
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
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
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
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
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
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
Support vector machines with the known feature-evolution priors
Y Zhang, G Wang, F Chung, S Wang
Knowledge-Based Systems 223, 107048, 2021
Least squares support vector machines with fast leave-one-out AUC optimization on imbalanced prostate cancer data
G Wang, JYC Teoh, J Lu, KS Choi
International Journal of Machine Learning and Cybernetics 11 (8), 1909-1922, 2020
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