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Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors Journal article
Luo, J.H., Gan, Y.F., Vong, C. M., Wong, C.M., Chen, C.Q.. Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors[J]. Neurocomputing (SCI-E), 2021, 106-116.
Authors:  Luo, J.H.;  Gan, Y.F.;  Vong, C. M.;  Wong, C.M.;  Chen, C.Q.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
Scalable Sparse Bayesian Learning  Approximate Bayesian Regularization Priors  Relevance Vector Machine  Sparse Bayesian Extreme Learning Machine  
Multinomial Bayesian extreme learning machine for sparse and accurate classification model Journal article
Luo, J.H., WONG, C.M., Vong, C. M.. Multinomial Bayesian extreme learning machine for sparse and accurate classification model[J]. Neurocomputing (SCI-E), 2021, 24-33.
Authors:  Luo, J.H.;  WONG, C.M.;  Vong, C. M.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
Extreme learning machine  Sparse Bayesian  Multi-class classification  Sparse learning  Multinomial distribution  
Fuzzy KNN Method With Adaptive Nearest Neighbors Journal article
Bian, Z.K., Vong, C.M., Wong, P.K., Wang, S.T.. Fuzzy KNN Method With Adaptive Nearest Neighbors[J]. IEEE Transactions on Cybernetics (SCI-E) (Published online), 2020, 1-14.
Authors:  Bian, Z.K.;  Vong, C.M.;  Wong, P.K.;  Wang, S.T.
Favorite |   IF:9.4/10.3 | Submit date：2022/08/09
Decision tree  fuzzy k-nearest-neighbor method (FKNN)  nearest neighbors  sparse representation/reconstruction  
Intelligent diagnosis of gastric intestinal metaplasia based on convolutional neural network and limited number of endoscopic images Journal article
Yan, T., Wong, P.K., Choi, I.C., Vong, C.M., Yu, H.H.. Intelligent diagnosis of gastric intestinal metaplasia based on convolutional neural network and limited number of endoscopic images[J]. Computers in Biology and Medicine (SCI-E), 2020, 104026-1-8.
Authors:  Yan, T.;  Wong, P.K.;  Choi, I.C.;  Vong, C.M.;  Yu, H.H.
Favorite |   IF:7.0/6.7 | Submit date：2022/08/09
Gastric intestinal metaplasia  Intelligent diagnosis  Narrow-band imaging  Magnifying narrow-band imaging  Convolutional neural network  
Kernel-based Multi-layer Extreme Learning Machines for Representation Learning Journal article
Wong, C.M., Vong, C. M., Wong, P. K., Cao, J.W.. Kernel-based Multi-layer Extreme Learning Machines for Representation Learning[J]. IEEE Transactions on Neural Networks and Learning Systems (SCI-E), 2018, 757-762.
Authors:  Wong, C.M.;  Vong, C. M.;  Wong, P. K.;  Cao, J.W.
Favorite | TC[WOS]:138 TC[Scopus]:157  IF:10.2/10.4 | Submit date：2022/07/27
Kernel Learning  Multilayer Extreme Learning Machine  Stacked Auto Encoder  Representation Learning  
DAlim: Machine learning based intelligent lucky money determination for large-scale E-commerce businesses Conference paper
Fu M., Wong C.M., Zhu H., Huang Y., Li Y., Zheng X., Wu J., Yang J., Vong C.M.. DAlim: Machine learning based intelligent lucky money determination for large-scale E-commerce businesses[C], 2018, 740-755.
Authors:  Fu M.;  Wong C.M.;  Zhu H.;  Huang Y.;  Li Y.; et al.
Favorite | TC[WOS]:3 TC[Scopus]:7 | Submit date：2019/02/14
Data Mining  E-commerce  Lucky Money  Machine Learning  Price Optimization  Price Prediction  
Online wavelet least-squares support vector machine fuzzy predictive control for engine lambda regulation Journal article
Wong, Pak Kin, Wong H.C., Vong C.M., Wong K.I.. Online wavelet least-squares support vector machine fuzzy predictive control for engine lambda regulation[J]. International Journal of Engine Research, 2016, 17(8), 866-885.
Authors:  Wong, Pak Kin;  Wong H.C.;  Vong C.M.;  Wong K.I.
Favorite | TC[WOS]:6 TC[Scopus]:7 | Submit date：2019/02/13
Engine Lambda  Fuzzy Optimizer  Model Predictive Control  Online Least-squares Support Vector Machine  Wavelet Transformation  
An Analytical Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias Journal article
Wong, Pak Kin, Gao X.H., Wong K.I., Vong C.M.. An Analytical Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias[J]. Cognitive Computation, 2016, 8(4), 746-756.
Authors:  Wong, Pak Kin;  Gao X.H.;  Wong K.I.;  Vong C.M.
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:4.3/4.0 | Submit date：2019/02/13
Extreme Learning Machine  Inductive Bias  Multiclass  Reasoning  
Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine Journal article
Gao X.H., Wong K.I., Wong, Pak Kin, Vong C.M.. Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine[J]. Neurocomputing, 2016, 194, 117-125.
Authors:  Gao X.H.;  Wong K.I.;  Wong, Pak Kin;  Vong C.M.
Favorite | TC[WOS]:14 TC[Scopus]:16  IF:5.5/5.5 | Submit date：2019/02/13
Adaptive Control  Machine Learning  System Identification  Time-varying Discrete Systems  
Model predictive engine air-ratio control using online sequential extreme learning machine Journal article
Wong, Pak Kin, Wong H.C., Vong C.M., Xie Z., Huang S.. Model predictive engine air-ratio control using online sequential extreme learning machine[J]. Neural Computing & Applications, 2016, 27(1), 79-92.
Authors:  Wong, Pak Kin;  Wong H.C.;  Vong C.M.;  Xie Z.;  Huang S.
Favorite | TC[WOS]:26 TC[Scopus]:34 | Submit date：2019/02/13
Air-ratio  Automotive Engine  Nonlinear Model Predictive Control  Online Sequential Extreme Learning Machine