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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  
Tracking objects with partial occlusion by background alignment Journal article
Wu, F., Vong, C. M., Liu, Q.. Tracking objects with partial occlusion by background alignment[J]. Neurocomputing (SCI-E), 2020, 1-13.
Authors:  Wu, F.;  Vong, C. M.;  Liu, Q.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
Object tracking  Subspace learning  Partial occlusion  Background alignment  
Scale adaptive image cropping for UAV object detection Journal article
Zhou, J. K., Vong, C. M., Liu, Q., Wang, Z. Y.. Scale adaptive image cropping for UAV object detection[J]. Neurocomputing (SCI-E), 2019, 305-313.
Authors:  Zhou, J. K.;  Vong, C. M.;  Liu, Q.;  Wang, Z. Y.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
Data enhancement  UAV aerial imagery  Object detection  Deep neural network  
Empirical Kernel Map-Based Multilayer Extreme Learning Machines for Representation Learning Journal article
Vong, C. M., Chen, C.Q., Wong, P. K.. Empirical Kernel Map-Based Multilayer Extreme Learning Machines for Representation Learning[J]. Neurocomputing (SCI-E), 2018, 265-276.
Authors:  Vong, C. M.;  Chen, C.Q.;  Wong, P. K.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
Kernel learning Multilayer extreme learning machine (ML-ELM)  Empirical kernel map (EKM)  Representation learning  stacked autoencoder (SAE)  
Online Extreme Learning Machine Based Modeling and Optimization for Point-by-point Engine Calibration Journal article
Wong, P. K., Gao, X.H., Wong, K.I., Vong, C. M.. Online Extreme Learning Machine Based Modeling and Optimization for Point-by-point Engine Calibration[J]. Neurocomputing (SCI-E), 2018, 187-197.
Authors:  Wong, P. K.;  Gao, X.H.;  Wong, K.I.;  Vong, C. M.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
Engine calibration  engine modeling  engine optimization  initial-training-free online extreme learning machine  
A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems Journal article
Rong, H.J., Yang, Z.X., Wong, P. K., Vong, C. M., Zhao, G.S.. A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems[J]. Neurocomputing (SCI-E), 2017, 332-344.
Authors:  Rong, H.J.;  Yang, Z.X.;  Wong, P. K.;  Vong, C. M.;  Zhao, G.S.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
Meta-cognitive learning  Backstepping control  Nonlinear systems  Fuzzy neural control  
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, P. K., Vong, C. M.. Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine[J]. Neurocomputing (SCI-E), 2016, 117-125.
Authors:  Gao, X. H.;  Wong, K. I.;  Wong, P. K.;  Vong, C. M.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
adaptive control  system identification  time-varying systems  machine learning  
Sparse Bayesian Extreme Learning Committee Machine for Engine Simultaneous Fault Diagnosis Journal article
Wong, P. K., Zhong, J.H., Yang, Z. X., Vong, C. M.. Sparse Bayesian Extreme Learning Committee Machine for Engine Simultaneous Fault Diagnosis[J]. Neurocomputing (SCI-E), 2016, 331-343.
Authors:  Wong, P. K.;  Zhong, J.H.;  Yang, Z. X.;  Vong, C. M.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
Automotive Engine  Multi-signal Fusion  Simultaneous-fault Diagnosis  Sparse Bayesian Extreme Learning Machine  Probabilistic Committee Machine  
Sparse Bayesian Extreme Learning Machine and its Application to Biofuel Engine Performance Prediction Journal article
Wong, K. I., Vong, C. M., Wong, P. K., Luo, J. H.. Sparse Bayesian Extreme Learning Machine and its Application to Biofuel Engine Performance Prediction[J]. Neurocomputing (SCI-E), 2015, 397-404.
Authors:  Wong, K. I.;  Vong, C. M.;  Wong, P. K.;  Luo, J. H.
Favorite | TC[WOS]:46 TC[Scopus]:50  IF:5.5/5.5 | Submit date：2022/07/27
Extreme Learning Machine  Sparse Bayesian  Biofuel  Dual-fuel Engine  Engine Performance