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Multinomial Bayesian extreme learning machine for sparse and accurate classification model Journal article
Neurocomputing, 2021,Volume: 423,Page: 24-33
Authors:  Luo,Jiahua;  Wong,Chi Man;  Vong,Chi Man
Favorite |  | TC[WOS]:5 TC[Scopus]:5 | Submit date:2021/03/11
Extreme learning machine  Multi-class classification  Multinomial distribution  Sparse Bayesian  Sparse learning  
Operating Reserve Quantification Using Prediction Intervals of Wind Power: An Integrated Probabilistic Forecasting and Decision Model Journal article
IEEE Transactions on Power Systems, 2021
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
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Forecasting  machine learning  mixed integer linear programming  Operating reserve  prediction interval  probabilistic forecasting  Probabilistic logic  Stochastic processes  Uncertainty  Upper bound  Wind forecasting  wind power  Wind power generation  
Adaptive neural tracking control for automotive engine idle speed regulation using extreme learning machine Journal article
Neural Computing and Applications, 2020,Volume: 32,Issue: 18,Page: 14399-14409
Authors:  Wong,Pak Kin;  Huang,Wei;  Vong,Chi Man;  Yang,Zhixin
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Adaptive neural control  Engine idle speed regulation  Extreme learning machine  Uncertain nonlinearity  
White learning methodology: A case study of cancer-related disease factors analysis in real-time PACS environment Journal article
Computer Methods and Programs in Biomedicine, 2020,Volume: 197
Authors:  Tengyue Li;  Simon Fong;  Shirley W.I. Siu;  Xin-she Yang;  Lian-Sheng Liu;  Sabah Mohammed
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Data Mining Methodology  Deep Learning  Bayesian Network  Radiological Data Analysis  
Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data Journal article
Neural Networks, 2020,Volume: 128,Page: 268-278
Authors:  Vong,Chi Man;  Du,Jie
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Highly imbalanced data  Multi-class classification  Sequential ensemble learning  
Homo-ELM: fully homomorphic extreme learning machine Journal article
International Journal of Machine Learning and Cybernetics, 2020,Volume: 11,Issue: 7,Page: 1531-1540
Authors:  Wang,Weiru;  Gan,Yanfen;  Vong,Chi Man;  Chen,Chuangquan
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Encrypted image classification  Encrypted machine learning  Extreme learning machine  Fully homomorphic encryption  Privacy preservation  
Intelligent Fault Diagnosis via Semisupervised Generative Adversarial Nets and Wavelet Transform Journal article
IEEE Transactions on Instrumentation and Measurement, 2020,Volume: 69,Issue: 7,Page: 4659-4671
Authors:  Liang,Pengfei;  Deng,Chao;  Wu,Jun;  Li,Guoqiang;  Yang,Zhixin;  Wang,Yuanhang
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Fault diagnosis  rotating machinery  semisupervised generative adversarial nets (SSGANs)  wavelet transform (WT)  
Approximate empirical kernel map-based iterative extreme learning machine for clustering Journal article
Neural Computing and Applications, 2020,Volume: 32,Issue: 12,Page: 8031-8046
Authors:  Chen,Chuangquan;  Vong,Chi Man;  Wong,Pak Kin;  Tai,Keng Iam
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Approximate empirical kernel map  Compact model  Extreme learning machine  Kernel learning  Maximum margin clustering  
Chance Constrained Extreme Learning Machine for Nonparametric Prediction Intervals of Wind Power Generation Journal article
IEEE TRANSACTIONS ON POWER SYSTEMS, 2020,Volume: 35,Issue: 5,Page: 3869-3884
Authors:  Can Wan;  Changfei Zhao;  Yonghua Song
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Prediction Interval  Forecasting  Wind Power  Chance Constraint  Extreme Learning Machine  Dc Optimization  
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction Journal article
Applied Soft Computing, 2020,Volume: 93
Authors:  Simon James Fong;  Gloria Li;  Nilanjan Dey;  Rubén González Crespo;  Enrique Herrera-Viedma
Favorite |  | TC[WOS]:47 TC[Scopus]:77 | Submit date:2021/03/09
Monte Carlo Simulation  Decision Support  Covid-19  2019-ncov  Coronavirus