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Extreme Fuzzy Broad Learning System: Algorithm, Frequency Principle, and Applications in Classification and Regression Journal article
Duan, Junwei, Yao, Shiyi, Tan, Jiantao, Liu, Yang, Chen, Long, Zhang, Zhen, Chen, C. L.P.. Extreme Fuzzy Broad Learning System: Algorithm, Frequency Principle, and Applications in Classification and Regression[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024.
Authors:  Duan, Junwei;  Yao, Shiyi;  Tan, Jiantao;  Liu, Yang;  Chen, Long; et al.
Favorite | TC[WOS]:2 TC[Scopus]:1  IF:10.2/10.4 | Submit date：2024/05/16
Broad Learning System (Bls)  Classification  Deep Neural Network  Feature Extraction  Frequency Principle  Fuzzy Extreme Learning Machine (Elm)  Learning Systems  Mathematical Models  Neural Networks  Regression  Stacking  Task Analysis  Training  
Short-term power load interval forecasting based on nonparametric Bootstrap errors sampling Journal article
Xiao, Ling, Li, Miaotong, Zhang, Shenghui. Short-term power load interval forecasting based on nonparametric Bootstrap errors sampling[J]. Energy Reports, 2022, 8, 6672-6686.
Authors:  Xiao, Ling;  Li, Miaotong;  Zhang, Shenghui
Favorite | TC[WOS]:15 TC[Scopus]:16  IF:4.7/5.0 | Submit date：2022/08/02
Adaptive Boosting Algorithm  Extreme Learning Machine  Nonparametric Bootstrap Sampling  Power Load Interval Forecasting  
Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling Journal article
Sarmadi, Hassan, Yuen, Ka Veng. Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling[J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2022, 173, 109049.
Authors:  Sarmadi, Hassan;  Yuen, Ka Veng
Favorite | TC[WOS]:51 TC[Scopus]:58  IF:7.9/8.0 | Submit date：2022/05/13
Generalized Extreme Value  Machine Learning  Mixture Quantile  Probabilistic Anomaly Detection  Structural Health Monitoring  Threshold Estimation  
Novel hybrid extreme learning machine and multi-objective optimization algorithm for air pollution prediction Journal article
Lu Bai, Zhi Liu, Jianzhou Wang. Novel hybrid extreme learning machine and multi-objective optimization algorithm for air pollution prediction[J]. Applied Mathematical Modelling, 2022, 106, 177-198.
Authors:  Lu Bai;  Zhi Liu;  Jianzhou Wang
Favorite | TC[WOS]:17 TC[Scopus]:19  IF:4.4/4.2 | Submit date：2022/05/13
Data Decomposition  Deterministic And Interval Predictions  Hybrid Prediction Model  Improved Extreme Learning Machine  Mathematical Modelling  Multi-objective Optimization Approach  
Design of a Combined System Based on Multi-Objective Optimization for Fine Particulate Matter (PM2.5) Prediction Journal article
Bai, Lu, Li, Hongmin, Zeng, Bo, Huang, Xiaojia. Design of a Combined System Based on Multi-Objective Optimization for Fine Particulate Matter (PM2.5) Prediction[J]. Frontiers in Environmental Science, 2022, 10, 833374.
Authors:  Bai, Lu;  Li, Hongmin;  Zeng, Bo;  Huang, Xiaojia
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.3/3.7 | Submit date：2022/05/17
Air Pollution Forecasting  Combined Forecasting Model  Data Decomposition  Fuzzy Computation And Forecasting  Improved Extreme Learning Machine  Multi-objective Optimization Approach  
A Task-Parallel and Reconfigurable FPGA-Based Hardware Implementation of Extreme Learning Machine Conference paper
Huang, Hui, Rong, Hai Jun, Yang, Zhao Xu. A Task-Parallel and Reconfigurable FPGA-Based Hardware Implementation of Extreme Learning Machine[C]:Association for Computing Machinery, 2022, 194-202.
Authors:  Huang, Hui;  Rong, Hai Jun;  Yang, Zhao Xu
Favorite | TC[Scopus]:1 | Submit date：2022/05/17
Extreme Learning Machine  Field-programmable Gate Array  Reconfigurable Architecture  Task-parallel Computing  
A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine Journal article
Yang, Zhao Xu, Rong, Hai Jun, Wong, Pak Kin, Angelov, Plamen, Vong, Chi Man, Chiu, Chi Wai, Yang, Zhi Xin. A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine[J]. Cognitive Computation, 2022, 14(2), 828-851.
Authors:  Yang, Zhao Xu;  Rong, Hai Jun;  Wong, Pak Kin;  Angelov, Plamen;  Vong, Chi Man; et al.
Favorite | TC[WOS]:15 TC[Scopus]:11  IF:4.3/4.0 | Submit date：2022/05/13
Engine Knock Detection  Multiple Feature Learning  Sample Entropy  Sparse Bayesian Extreme Learning Machine  Variational Mode Decomposition  
Cgenet: A deep graph model for covid-19 detection based on chest ct Journal article
Lu, Si Yuan, Zhang, Zheng, Zhang, Yu Dong, Wang, Shui Hua. Cgenet: A deep graph model for covid-19 detection based on chest ct[J]. Biology, 2022, 11(1).
Authors:  Lu, Si Yuan;  Zhang, Zheng;  Zhang, Yu Dong;  Wang, Shui Hua
Favorite | TC[WOS]:29 TC[Scopus]:31  IF:3.6/3.8 | Submit date：2022/02/21
Computer-aided Diagnosis  Transfer Learning  Convolutional Neural Network  Feedforward Neural Network  Extreme Learning Machine  Graph Neural Network  
An explainable framework for diagnosis of COVID-19 pneumonia via transfer learning and discriminant correlation analysis Journal article
Lu, Siyuan, Wu, Di, Zhang, Zheng, Wang, Shui Hua. An explainable framework for diagnosis of COVID-19 pneumonia via transfer learning and discriminant correlation analysis[J]. ACM Transactions on Multimedia Computing Communications and Applications, 2021, 17(3s), 3449785.
Authors:  Lu, Siyuan;  Wu, Di;  Zhang, Zheng;  Wang, Shui Hua
Favorite | TC[WOS]:8 TC[Scopus]:8  IF:5.2/4.9 | Submit date：2022/05/13
Computed Tomography  Covid-19  Extreme Learning Machine  Random Vector Functional-link Net  Randomized Neural Network  Resnet  Schmidt Neural Network  
Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors Journal article
Luo, Jiahua, Gan, Yanfen, Vong, Chi Man, Wong, Chi Man, Chen, Chuangquan. Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors[J]. Neurocomputing, 2021, 457, 106-116.
Authors:  Luo, Jiahua;  Gan, Yanfen;  Vong, Chi Man;  Wong, Chi Man;  Chen, Chuangquan
Favorite | TC[WOS]:4 TC[Scopus]:6  IF:5.5/5.5 | Submit date：2021/12/08
Approximate Bayesian Regularization Priors  Relevance Vector Machine  Scalable Sparse Bayesian Learning  Sparse Bayesian Extreme Learning Machine