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RPCA-induced self-representation for subspace clustering Journal article
Neurocomputing, 2021,Volume: 437,Page: 249-260
Authors:  Zhong,Guo;  Pun,Chi Man
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Low-rank recovery  Robust principal component analysis  Self-representation  Subspace clustering  
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
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Extreme learning machine  Multi-class classification  Multinomial distribution  Sparse Bayesian  Sparse learning  
GraphLSHC: Towards large scale spectral hypergraph clustering Journal article
Information Sciences, 2021,Volume: 544,Page: 117-134
Authors:  Yang,Yiyang;  Deng,Sucheng;  Lu,Juan;  Li,Yuhong;  Gong,Zhiguo;  U,Leong Hou;  Hao,Zhifeng
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Clustering  Hypergraph  Machine Learning  Unsupervised Learning  
An integrated computational methodology with data-driven machine learning, molecular modeling and PBPK modeling to accelerate solid dispersion formulation design Journal article
European Journal of Pharmaceutics and Biopharmaceutics, 2021,Volume: 158,Page: 336-346
Authors:  Gao,Hanlu;  Wang,Wei;  Dong,Jie;  Ye,Zhuyifan;  Ouyang,Defang
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Dissolution profile  Machine learning  molecular dynamics (MD) simulations  Pharmacokinetic modeling  Solid dispersion  
Attributed Collaboration Network Embedding for Academic Relationship Mining Journal article
ACM Transactions on the Web, 2021,Volume: 15,Issue: 1
Authors:  Wang,Wei;  Liu,Jiaying;  Tang,Tao;  Tuarob,Suppawong;  Xia,Feng;  Gong,Zhiguo;  King,Irwin
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academic information retrieval  graph learning  Network embedding  scientific collaboration  
A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives Journal article
Advanced Engineering Informatics, 2021,Volume: 47
Authors:  Ng,Kam K.H.;  Chen,Chun Hsien;  Lee,C. K.M.;  Jiao,Jianxin (Roger);  Yang,Zhi Xin
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Adaptive decision making  Artificial intelligence  Innovative robotic process automation  Intelligent automation  
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.
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Acceleration  Algorithm  Biomedical Monitoring  Entropy  Fast Computation  Graphics Processing Unit  Graphics Processing Units  Kernel  Parallel Computing  Sample Entropy  Standards  Time Series Analysis  
Artificial Intelligence Prediction for the COVID-19 Data Based on LSTM Neural Networks and H2O AutoML Book chapter
出自: SpringerBriefs in Applied Sciences and Technology, 2021, 页码: 69-87
Authors:  Marques,Joao Alexandre Lobo;  Gois,Francisco Nauber Bernardo;  Xavier-Neto,José;  Fong,Simon James
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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  
Multivariate morphological reconstruction based fuzzy clustering with a weighting multi-channel guided image filter for color image segmentation Journal article
International Journal of Machine Learning and Cybernetics, 2020,Volume: 11,Issue: 12,Page: 2793-2806
Authors:  Xu,Guangmei;  Zhou,Jin;  Dong,Jiwen;  Chen,C. L.Philip;  Zhang,Tong;  Chen,Long;  Han,Shiyuan;  Wang,Lin;  Chen,Yuehui
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Color image segmentation  Fuzzy clustering  Multi-channel guided filter  Multivariate morphological reconstruction