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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]:1 TC[Scopus]:0 | Submit date：2021/03/11
Extreme learning machine Multi-class classification Multinomial distribution Sparse Bayesian Sparse learning |
| Fast Algorithm Based on Parallel Computing for Sample Entropy Calculation Journal article
IEEE Access, 2021
Authors: Dong X.; Chen C.; Geng Q.; Zhang W.; Zhang X.D.
Adobe PDF | Favorite | | TC[WOS]:0 TC[Scopus]:0 | Submit date：2021/03/03
Acceleration Algorithm Biomedical Monitoring Entropy Fast Computation Graphics Processing Unit Graphics Processing Units Kernel Parallel Computing Sample Entropy Standards Time Series Analysis |
| 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: Li，Tengyue; Fong，Simon; Siu，Shirley W.I.; Yang，Xin she; Liu，Lian Sheng; Mohammed，Sabah
Favorite | | TC[WOS]:0 TC[Scopus]:0 | Submit date：2021/03/09
Bayesian network Data mining methodology Deep learning Radiological data analysis |
| Knowledge modeling via contextualized representations for LSTM-based personalized exercise recommendation Journal article
Information Sciences, 2020,Volume: 523,Page: 266-278
Authors: Huo，Yujia; Wong，Derek F.; Ni，Lionel M.; Chao，Lidia S.; Zhang，Jing
Favorite | | TC[WOS]:3 TC[Scopus]:4 | Submit date：2021/03/11
Context representation Exercise recommendation Knowledge tracing LSTM Personalized learning |
| Acoustic emission wave classification for rail crack monitoring based on synchrosqueezed wavelet transform and multi-branch convolutional neural network Journal article
Structural Health Monitoring, 2020
Authors: Li，Dan; Wang，Yang; Yan，Wang Ji; Ren，Wei Xin
Favorite | | TC[WOS]:2 TC[Scopus]:4 | Submit date：2021/03/11
acoustic emission classification crack monitoring multi-branch convolutional neural network Rail synchrosqueezed wavelet transform |
| Angle-domain aided UL/DL channel estimation for wideband mmWave massive MIMO systems with beam squint Journal article
IEEE Transactions on Wireless Communications, 2019,Volume: 18,Issue: 7,Page: 3515-3527
Authors: Jian，Mengnan; Gao，Feifei; Tian，Zhi; Jin，Shi; Ma，Shaodan
Favorite | | TC[WOS]:11 TC[Scopus]:13 | Submit date：2021/03/11
angle-delay reciprocity Beam squint effect channel estimation CRB off-grid |
| Generative multi-view and multi-feature learning for classification Journal article
INFORMATION FUSION, 2019,Volume: 45,Page: 215-226
Authors: Li, Jinxing; Zhang, Bob; Lu, Guangming; Zhang, David
Favorite | | TC[WOS]:29 TC[Scopus]:33 | Submit date：2018/10/30
Multi-view(modal) Multi-feature Generative model Bayesian model Classification |
| A Multi-Model Combination Approach for Probabilistic Wind Power Forecasting Journal article
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019,Volume: 10,Issue: 1,Page: 226-237
Authors: Lin, You; Yang, Ming; Wan, Can; Wang, Jianhui; Song, Yonghua
Favorite | | TC[WOS]:37 TC[Scopus]:50 | Submit date：2019/01/17
Terms-multi-model Combination Probabilistic Forecasting Wind Power Uncertainty |
| Modal frequency-environmental condition relation development using long-term structural health monitoring measurement: Uncertainty quantification, sparse feature selection and multivariate prediction Journal article
MEASUREMENT, 2018,Volume: 130,Page: 384-397
Authors: Mu, He-Qing; Yuen, Ka-Veng
Favorite | | TC[WOS]:12 TC[Scopus]:13 | Submit date：2018/10/30
Bayesian inference Environmental conditions Sparse feature selection Modal analysis Structural health monitoring |
| Parameter Estimation of Gaussian Mixture Model Based on Variational Bayesian Learning Conference paper
Proceedings - International Conference on Machine Learning and Cybernetics
Authors: Zhao L.; Shang Z.; Qin A.; Tang Y.Y.
Favorite | | TC[WOS]:0 TC[Scopus]:1 | Submit date：2019/02/11
Annealing algorithm Gaussian mixture model parameter estimation tsallis-DAVBEM variational bayes EM |
