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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[WOS]:0 TC[Scopus]:1  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  
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  
LBNN: Perceiving the state changes of a core telecommunications network via linear bayesian neural network Conference paper
Yanying Lin, Kejiang Ye, Ming Chen, Naitian Deng, Tailin Wu, Cheng-Zhong Xu. LBNN: Perceiving the state changes of a core telecommunications network via linear bayesian neural network[C]:IEEE, 2020, 72-80.
Authors:  Yanying Lin;  Kejiang Ye;  Ming Chen;  Naitian Deng;  Tailin Wu; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2021/05/31
Linear Bayesian Neural Network  State Change Perception  Telecommunications Core Network  
Is a complex neural network based air quality prediction model better than a simple one? A Bayesian point of view Conference paper
K. I. Hoi, K. V. Yuen, K. M. Mok. Is a complex neural network based air quality prediction model better than a simple one? A Bayesian point of view[C]:AMER INST PHYSICS, 2 HUNTINGTON QUADRANGLE, STE 1NO1, MELVILLE, NY 11747-4501 USA, 2010, 764-769.
Authors:  K. I. Hoi;  K. V. Yuen;  K. M. Mok
Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2019/02/12
Air Quality Prediction  Artificial Neural Network  Bayesian Approach  Macau  Pm10