Publications: Wang, Guanjin

Journal Article

Zhang, Y., Wang, G.ORCID: 0000-0002-5258-0532, Chung, F-L and Wang, S. (2021) Support vector machines with the known feature-evolution priors. Knowledge-Based Systems, 223 . Article 107048.

Kwok, S.W.H., Vadde, S.K. and Wang, G.ORCID: 0000-0002-5258-0532 (2021) Tweet topics and sentiments relating to COVID-19 vaccination among Australian Twitter users: Machine learning analysis. Journal of Medical Internet Research, 23 (5). e26953.

Weerakody, P.B., Wong, K.W., Wang, G.ORCID: 0000-0002-5258-0532 and Ela, W. (2021) A review of irregular time series data handling with gated recurrent neural networks. Neurocomputing, 441 . pp. 161-178.

Wang, G.ORCID: 0000-0002-5258-0532, Wong, K.W. and Lu, J. (2020) AUC-based extreme learning machines for supervised and semi-supervised imbalanced classification. IEEE Transactions on Systems, Man, and Cybernetics: Systems . Early Access.

Wang, G.ORCID: 0000-0002-5258-0532, Choi, K-S, Teoh, J.Y-C and Lu, J. (2020) Deep cross-output knowledge transfer using stacked-structure least-squares support vector machines. IEEE Transactions on Cybernetics . Early Access.

Chen, L., Zhi, X., Wang, H.ORCID: 0000-0003-2789-9530, Wang, G.ORCID: 0000-0002-5258-0532, Zhou, Z., Yazdani, A. and Zheng, X. (2020) Driver fatigue detection via differential evolution extreme learning machine technique. Electronics, 9 (11). Article 1850.

Wang, G.ORCID: 0000-0002-5258-0532, Teoh, J.Y.C., Lu, J. and Choi, K-S (2020) Least squares support vector machines with fast leave-one-out AUC optimization on imbalanced prostate cancer data. International Journal of Machine Learning and Cybernetics, 11 . pp. 1909-1922.

Wang, G.ORCID: 0000-0002-5258-0532, Zhang, G., Choi, K-S, Lam, K-M and Lu, J. (2020) Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis. Neurocomputing, 387 . pp. 279-292.

Wang, G.ORCID: 0000-0002-5258-0532, Laga, H.ORCID: 0000-0002-4758-7510, Jia, J., Miklavcic, S.J. and Srivastava, A. (2020) Statistical analysis and modeling of the geometry and topology of plant roots. Journal of Theoretical Biology, 486 . Article 110108.

Shen, X., Wang, G.ORCID: 0000-0002-5258-0532, Kwan, R.Y-C and Choi, K-S (2020) Using dual neural network architecture to detect the risk of dementia with community health data: Algorithm development and validation study. JMIR Medical Informatics, 8 (8). e19870.

Wang, G.ORCID: 0000-0002-5258-0532, Zhou, T., Choi, K-S and Lu, J. (2020) A deep-ensemble-level-based interpretable Takagi-Sugeno-Kang fuzzy classifier for imbalanced data. IEEE Transactions on Cybernetics . Early Access.

Wang, G.ORCID: 0000-0002-5258-0532, Lu, J., Choi, K-S and Zhang, G. (2020) A transfer-based additive LS-SVM classifier for handling missing data. IEEE Transactions on Cybernetics, 50 (2). pp. 739-752.

Wang, G.ORCID: 0000-0002-5258-0532, Zhang, G., Choi, K-S and Lu, J. (2019) Deep additive least squares support vector machines for classification with model transfer. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49 (7). pp. 1527-1540.

Wang, G.ORCID: 0000-0002-5258-0532, Deng, Z. and Choi, K-S (2018) Tackling missing data in community health studies using additive LS-SVM classifier. IEEE Journal of Biomedical and Health Informatics, 22 (2). pp. 579-587.

Wang, G.ORCID: 0000-0002-5258-0532, Deng, Z. and Choi, K-S (2017) Detection of epilepsy with electroencephalogram using rule-based classifiers. Neurocomputing, 228 . pp. 283-290.

Jiang, Y., Deng, Z., Chung, F-L, Wang, G.ORCID: 0000-0002-5258-0532, Qian, P., Choi, K-S and Wang, S. (2017) Recognition of epileptic EEG signals using a novel multiview TSK fuzzy system. IEEE Transactions on Fuzzy Systems, 25 (1). pp. 3-20.

Jiang, Y., Wu, D., Deng, Z., Qian, P., Wang, J., Wang, G.ORCID: 0000-0002-5258-0532, Chung, F-L, Choi, K-S and Wang, S. (2017) Seizure classification from EEG signals using transfer learning, semi-supervised learning and TSK fuzzy system. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25 (12). pp. 2270-2284.

Xu, M., Wang, G.ORCID: 0000-0002-5258-0532, Chung, F-L and Wang, S. (2016) Linear combination of densities and its direct estimation framework with applications. Neural Computing and Applications, 27 (6). pp. 1477-1495.

Wang, G.ORCID: 0000-0002-5258-0532, Choi, K-S and Deng, Z. (2016) Noise-benefit FRSDE for speedup of density estimation on large data. Journal of Intelligent & Fuzzy Systems, 30 (1). pp. 443-450.

Wang, G.ORCID: 0000-0002-5258-0532, Lam, K-M, Deng, Z. and Choi, K-S (2015) Prediction of mortality after radical cystectomy for bladder cancer by machine learning techniques. Computers in Biology and Medicine, 63 . pp. 124-132.

Conference Paper

Gu, S., Wang, S. and Wang, G.ORCID: 0000-0002-5258-0532 (2020) A novel stylistic classification method and its experimental study. In: 14th International FLINS Conference (FLINS 2020): Developments of Artificial Intelligence Technologies in Computation and Robotics, 18 - 21 August 2020, Cologne, Germany

Lou, Q., Deng, Z., Wang, G.ORCID: 0000-0002-5258-0532 and Choi, K-S (2019) Reliability learning for interval Type-2 TSK fuzzy logic system with its application to medical diagnosis. In: 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) 2019, 14 - 16 November 2019, Dalian, China

Wang, G.ORCID: 0000-0002-5258-0532, Lu, J., Teoh, J.Y-C and Choi, K-S (2018) Computer aided diagnostic tool for prostate cancer with rule extraction from support vector machines. In: Data Science and Knowledge Engineering for Sensing Decision Support: Proceedings of the 13th International FLINS Conference, 21 - 24 August 2018, Belfast, Northern Ireland, UK pp. 1315-1322.

Wang, G.ORCID: 0000-0002-5258-0532, Teoh, J.Y-C and Choi, K-S (2018) Diagnosis of prostate cancer in a Chinese population by using machine learning methods. In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 17 - 21 July 2018, Honolulu, HI, USA pp. 1-4.

Wang, G.ORCID: 0000-0002-5258-0532, Zhang, G., Choi, K-S, Lam, K-M and Lu, J. (2017) An output-based knowledge transfer approach and its application in bladder cancer prediction. In: 2017 International Joint Conference on Neural Networks (IJCNN), 14 - 19 May 2017, Anchorage, AK, USA pp. 356-363.

Book Chapter

Wang, G.ORCID: 0000-0002-5258-0532, Deng, Z. and Choi, K-S (2015) Detection of epileptic seizures in EEG signals with rule-based interpretation by random forest approach. In: Huang, D-S and Han, K., (eds.) Advanced Intelligent Computing Theories and Applications. Springer, Cham, pp. 738-744.