Guanjin Wang

发表

Recognition of Epileptic EEG Signals Using a Novel Multiview TSK Fuzzy System

Pengjiang Qian, Zhaohong Deng, Yizhang Jiang, 2017, IEEE Transactions on Fuzzy Systems.

Least squares support vector machines with fast leave-one-out AUC optimization on imbalanced prostate cancer data

Kup-Sze Choi, Guanjin Wang, Jie Lu, 2020, Int. J. Mach. Learn. Cybern..

An accuracy-maximization learning framework for supervised and semi-supervised imbalanced data

Kok Wai Wong, Guanjin Wang, 2022, Knowl. Based Syst..

A fuzzy system with common linear-term consequents equivalent to FLNN and GMM

F. Chung, Guanjin Wang, Shitong Wang, 2022, International Journal of Machine Learning and Cybernetics.

Detection of Epileptic Seizures in EEG Signals with Rule-Based Interpretation by Random Forest Approach

Zhaohong Deng, Kup-Sze Choi, Guanjin Wang, 2015, ICIC.

Least squares support vector machines with fast leave-one-out AUC optimization on imbalanced prostate cancer data

Guanjin Wang, K. Choi, Jie Lu, 2020, International Journal of Machine Learning and Cybernetics.

Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis

Guanjin Wang, S. W. Kwok, Sai Kumar Vadde, 2021, Journal of Medical Internet Research.

Enhancement of prostate cancer diagnosis by machine learning techniques: an algorithm development and validation study

Guanjin Wang, K. Choi, X. Shen, 2021, Prostate Cancer and Prostatic Diseases.

An artificial intelligence approach for predicting death or organ failure after hospitalization for COVID-19: development of a novel risk prediction tool and comparisons with ISARIC-4C, CURB-65, qSOFA, and MEWS scoring systems

Guanjin Wang, M. Murad, K. Kashani, 2023, Respiratory Research.

Twitter Speaks: An Analysis of Australian Twitter Users' Topics and Sentiments About COVID-19 Vaccination Using Machine Learning.

Guanjin Wang, S. W. Kwok, Sai Kumar Vadde, 2021, Journal of medical Internet research.

Using K-Means Clustering Method with Doc2Vec to Understand the Twitter Users’ Opinions on COVID-19 Vaccination

Guanjin Wang, S. W. Kwok, 2021, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI).

Diagnosis of prostate cancer in a Chinese population by using machine learning methods

Kup-Sze Choi, Guanjin Wang, Jeremy Yuen-Chun Teoh, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A review of irregular time series data handling with gated recurrent neural networks

Philip B. Weerakody, Kevin Kok Wai Wong, Guanjin Wang, 2021, Neurocomputing.

Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System

Pengjiang Qian, Dongrui Wu, Zhaohong Deng, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Health care predictive analytics using artificial intelligence techniques

Guanjin Wang, Guanjin Wang, 2018 .

Prediction of mortality after radical cystectomy for bladder cancer by machine learning techniques

Zhaohong Deng, Kup-Sze Choi, Kin-Man Lam, 2015, Comput. Biol. Medicine.

Deep Additive Least Squares Support Vector Machines for Classification With Model Transfer

Kup-Sze Choi, Guanjin Wang, Jie Lu, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Driver Fatigue Detection via Differential Evolution Extreme Learning Machine Technique

Xuefeng Zheng, Zhenghua Zhou, Amir Mehdi Yazdani, 2020, Electronics.

AUC-Based Extreme Learning Machines for Supervised and Semi-Supervised Imbalanced Classification

Guanjin Wang, Kok Wai Wong, Jie Lu, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

A Deep-Ensemble-Level-Based Interpretable Takagi–Sugeno–Kang Fuzzy Classifier for Imbalanced Data

Kup-Sze Choi, Jie Lu, Guanjin Wang, 2020, IEEE Transactions on Cybernetics.

Support vector machines with the known feature-evolution priors

Korris Fu-Lai Chung, Shitong Wang, Yuanpeng Zhang, 2021, Knowl. Based Syst..

Using Dual Neural Network Architecture to Detect the Risk of Dementia With Community Health Data: Algorithm Development and Validation Study

Xiao Shen, Kup-Sze Choi, Guanjin Wang, 2020, JMIR medical informatics.

BE-ELM: Biological ensemble Extreme Learning Machine without the need of explicit aggregation

Guanjin Wang, Zi Shen Darren Soo, 2023, Expert Syst. Appl..

Cyclic Gate Recurrent Neural Networks for Time Series Data with Missing Values

Kok Wai Wong, Philip B. Weerakody, Guanjin Wang, 2022, Neural Processing Letters.

A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data

Kup-Sze Choi, Guanjin Wang, Jie Lu, 2020, IEEE Transactions on Cybernetics.

Using Dual Neural Network Architecture to Detect the Risk of Dementia With Community Health Data: Algorithm Development and Validation Study (Preprint)

Guanjin Wang, K. Choi, X. Shen, 2020 .

Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis

Guanjin Wang, S. W. Kwok, Sai Kumar Vadde, 2021, Journal of medical Internet research.

Policy gradient empowered LSTM with dynamic skips for irregular time series data

Kok Wai Wong, Philip B. Weerakody, Guanjin Wang, 2023, Appl. Soft Comput..

TSK fuzzy system fusion at sensitivity-ensemble-level for imbalanced data classification

Guanjin Wang, Yuanpeng Zhang, Xiuyu Huang, 2022, Inf. Fusion.

Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis

Kup-Sze Choi, Kin-Man Lam, Guanjin Wang, 2020, Neurocomputing.

Deep Cross-Output Knowledge Transfer Using Stacked-Structure Least-Squares Support Vector Machines

Kup-Sze Choi, Guanjin Wang, Jie Lu, 2020, IEEE Transactions on Cybernetics.

Recognition of Sleep-Wake Stages by Deep Takagi-Sugeno-Kang Fuzzy Classifier with Random Rule Heritage

Guanjin Wang, K. Choi, Ta Zhou, 2023, IEEE Transactions on Emerging Topics in Computational Intelligence.

Tackling Missing Data in Community Health Studies Using Additive LS-SVM Classifier

Zhaohong Deng, Kup-Sze Choi, Guanjin Wang, 2018, IEEE Journal of Biomedical and Health Informatics.