English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 42 Help

Selected(0)Clear Items/Page:    Sort:
Generative broad Bayesian (GBB) imputer for missing data imputation with uncertainty quantification Journal article
Kuok, Sin Chi, Yuen, Ka Veng, Dodwell, Tim, Girolami, Mark. Generative broad Bayesian (GBB) imputer for missing data imputation with uncertainty quantification[J]. Knowledge-Based Systems, 2024, 301, 112272.
Authors:  Kuok, Sin Chi;  Yuen, Ka Veng;  Dodwell, Tim;  Girolami, Mark
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:7.2/7.4 | Submit date：2024/08/05
Bayesian Inference  Broad Bayesian Learning  Imputation  Missing Data  Uncertainty Quantification  
Dictionary Learning of Spatial Variability at a Specific Site Using Data from Other Sites Journal article
Guan, Zheng, Wang, Yu, Phoon, Kok Kwang. Dictionary Learning of Spatial Variability at a Specific Site Using Data from Other Sites[J]. Journal of Geotechnical and Geoenvironmental Engineering, 2024, 150(9), 04024072.
Authors:  Guan, Zheng;  Wang, Yu;  Phoon, Kok Kwang
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:3.9/4.5 | Submit date：2024/08/05
Bayesian Learning  Dictionary Learning  Geotechnical Site Characterization  Prior Knowledge  Spatial Variability  
Out-of-Distribution Detection of Unknown False Data Injection Attack With Logit-Normalized Bayesian ResNet Journal article
Feng, Guangxu, Lao, Keng Weng, Chen, Ge. Out-of-Distribution Detection of Unknown False Data Injection Attack With Logit-Normalized Bayesian ResNet[J]. IEEE Transactions on Smart Grid, 2024.
Authors:  Feng, Guangxu;  Lao, Keng Weng;  Chen, Ge
Favorite | TC[Scopus]:0  IF:8.6/9.6 | Submit date：2024/07/04
Bayes Methods  Bayesian Neural Network  Current Measurement  Deep Learning  Epistemic Uncertainty  False Data Injection Attack  Neural Networks  Out-of-distribution Detection  Training  Uncertainty  Uncertainty Calibration  Vectors  
Combining dimensionality reduction methods with neural networks for realized volatility forecasting Journal article
Andrea Bucci, HE Lidan, Liu Z(劉志). Combining dimensionality reduction methods with neural networks for realized volatility forecasting[J]. Annals of Operations Research, 2023.
Authors:  Andrea Bucci;  HE Lidan;  Liu Z(劉志)
Favorite | TC[WOS]:7 TC[Scopus]:5  IF:4.4/4.4 | Submit date：2023/08/15
Realized Volatility  Artificial Neural Network  Machine-learning  Pca Method  Bayesian Model Averaging  
Research on Multidimensional Causal Model of Environment in Macao Cotai City Ecological Reserve Conference paper
He, Cheng, Liu, Wenjian, Ren, Jia, Cui, Yani. Research on Multidimensional Causal Model of Environment in Macao Cotai City Ecological Reserve[C], 2023, 174-179.
Authors:  He, Cheng;  Liu, Wenjian;  Ren, Jia;  Cui, Yani
Favorite | TC[Scopus]:0 | Submit date：2024/02/22
artificial intelligence  Bayesian network  causality  environmental decision-making and management  machine learning  
Face Sketch Synthesis Using Regularized Broad Learning System Journal article
Ping Li, Bin Sheng, C. L. Philip Chen. Face Sketch Synthesis Using Regularized Broad Learning System[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(10), 5346-5360.
Authors:  Ping Li;  Bin Sheng;  C. L. Philip Chen
Favorite | TC[WOS]:35 TC[Scopus]:29  IF:10.2/10.4 | Submit date：2022/05/13
Bayesian Estimation  Computational Modeling  Face Recognition  Face Sketch Synthesis  Faces  Feature Extraction  Incremental Learning  Learning Systems  Regularized Broad Learning System (Rbls).  Robustness  Training  
Clustered Sparse Bayesian Learning Based Channel Estimation for Millimeter-Wave Massive MIMO Systems Journal article
Wu, Xianda, Ma, Shaodan, Yang, Xi, Yang, Guanghua. Clustered Sparse Bayesian Learning Based Channel Estimation for Millimeter-Wave Massive MIMO Systems[J]. IEEE Transactions on Vehicular Technology, 2022, 71(12), 12749-12764.
Authors:  Wu, Xianda;  Ma, Shaodan;  Yang, Xi;  Yang, Guanghua
Favorite | TC[WOS]:6 TC[Scopus]:8  IF:6.1/6.5 | Submit date：2023/01/30
Massive Mimo  Mm Wave  Channel Estimation  Sparse Bayesian Learning  
Probabilistic Seismic Response Prediction of Three-Dimensional Structures Based on Bayesian Convolutional Neural Network Journal article
Tianyu Wang, Huile Li, Mohammad Noori, Ramin Ghiasi, Wael A. Altabey. Probabilistic Seismic Response Prediction of Three-Dimensional Structures Based on Bayesian Convolutional Neural Network[J]. Sensors, 2022, 22(10), 3775.
Authors:  Tianyu Wang;  Huile Li;  Mohammad Noori;  Ramin Ghiasi;  Wael A. Altabey
Favorite | TC[WOS]:15 TC[Scopus]:21  IF:3.4/3.7 | Submit date：2022/08/02
Bayesian Deep Learning  Convolutional Neural Network  Random Vibration Of Structures  Seismic Response  
Graph-based sparse bayesian broad learning system for semi-supervised learning Journal article
Xu, Lili, Philip Chen, C. L., Han, Ruizhi. Graph-based sparse bayesian broad learning system for semi-supervised learning[J]. INFORMATION SCIENCES, 2022, 597, 193-210.
Authors:  Xu, Lili;  Philip Chen, C. L.;  Han, Ruizhi
Favorite | TC[WOS]:13 TC[Scopus]:13  IF:0/0 | Submit date：2022/05/13
Classification  Fast Marginal Likelihood Maximization  Graph-based Model  Manifold Regularization  Semi-supervised Learning  Sparse Bayesian Broad Learning System  
Graph-regularized Bayesian broad learning system 基于图正则化的贝叶斯宽度学习系统 Journal article
Junwei DUAN, Lincan XU, Yujuan QUAN, Long CHEN, C.L.Philip CHEN. Graph-regularized Bayesian broad learning system 基于图正则化的贝叶斯宽度学习系统[J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(1), 109-117.
Authors:  Junwei DUAN;  Lincan XU;  Yujuan QUAN;  Long CHEN;  C.L.Philip CHEN
Favorite | TC[Scopus]:2