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Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network Journal article
Journal of Cheminformatics, 2021,Volume: 13,Issue: 1
Authors:  Chen, Jiarui;  Si, Yain Whar;  Un, Chon Wai;  Siu, Shirley W.I.
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/12/08
Admet  Chemical Toxicity  Deep Learning  Graph Convolutional Neural Network  Mean Teacher  Semi-supervised Learning  Tox21  
Prediction of small-molecule compound solubility in organic solvents by machine learning algorithms Journal article
Journal of Cheminformatics, 2021,Volume: 13,Issue: 1
Authors:  Ye, Zhuyifan;  Ouyang, Defang
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Deep Learning  Lightgbm  Machine Learning  Organic Solvents  Qspr  Solubility Prediction  
Machine learning prediction of antiviral-HPV protein interactions for anti-HPV pharmacotherapy Journal article
Scientific Reports, 2021,Volume: 11,Issue: 1
Authors:  Lin, Hui Heng;  Zhang, Qian Ru;  Kong, Xiangjun;  Zhang, Liuping;  Zhang, Yong;  Tang, Yanyan;  Xu, Hongyan
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Identifying resting state differences salient for resilience to chronic pain based on machine learning multivariate pattern analysis Journal article
Psychophysiology, 2021,Volume: 58,Issue: 12
Authors:  You, Beibei;  Wen, Hongwei;  Jackson, Todd
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Chronic Pain  Multiple Kernel Learning  Resilience  Resting State Mri  
Semi-supervised multi-Layer convolution kernel learning in credit evaluation Journal article
Pattern Recognition, 2021,Volume: 120
Authors:  Xu, Lixiang;  Cui, Lixin;  Weise, Thomas;  Li, Xinlu;  Wu, Zhize;  Nie, Feiping;  Chen, Enhong;  Tang, Yuanyan
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Convolution Kernel Function  Multi-layer Kernel  Random Sampling  Semi-supervised Learning  Svm  
Off-Policy Deep Reinforcement Learning Based on Steffensen Value Iteration Journal article
IEEE Transactions on Cognitive and Developmental Systems, 2021,Volume: 13,Issue: 4,Page: 1023-1032
Authors:  Cheng, Yuhu;  Chen, Lin;  Chen, C. L.Philip;  Wang, Xuesong
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Convergence Speed  Deep Reinforcement Learning (Drl)  Off-policy  Steffensen Iteration  Value Iteration (Vi)  
Integrating metabolomic data with machine learning approach for discovery of Q-markers from Jinqi Jiangtang preparation against type 2 diabetes Journal article
Chinese Medicine (United Kingdom), 2021,Volume: 16,Issue: 1
Authors:  Yang, Lele;  Xue, Yan;  Wei, Jinchao;  Dai, Qi;  Li, Peng
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Backpropagation Artificial Neural Network  Jinqi Jiangtang  Machine Learning  Mass Spectrometry  Metabolomics  Q-markers  
Prediction of differentially expressed microRNAs in blood as potential biomarkers for Alzheimer’s disease by meta-analysis and adaptive boosting ensemble learning Journal article
Alzheimer's Research and Therapy, 2021,Volume: 13,Issue: 1
Authors:  Yuen, Sze Chung;  Liang, Xiaonan;  Zhu, Hongmei;  Jia, Yongliang;  Leung, Siu wai
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Abmda  Alzheimer’s Disease  Biomarkers  Meta-analysis  Micrornas  Neuroinflammation  Neuronal Cell Cycle Re-entry  
Attributed Collaboration Network Embedding for Academic Relationship Mining Journal article
ACM Transactions on the Web, 2021,Volume: 15,Issue: 1
Authors:  WEI WANG;  JIAYING LIU;  TAO TANG;  SUPPAWONG TUAROB;  FENG XIA;  ZHIGUO GONG;  IRWIN KING
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Academic Information Retrieval  Graph Learning  Network Embedding  Scientific Collaboration  
Artificial intelligence in ophthalmopathy and ultra-wide field image: A survey Journal article
Expert Systems with Applications, 2021,Volume: 182
Authors:  Yang, Jie;  Fong, Simon;  Wang, Han;  Hu, Quanyi;  Lin, Chen;  Huang, Shigao;  Shi, Jian;  Lan, Kun;  Tang, Rui;  Wu, Yaoyang;  Zhao, Qi
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2021/12/08
Deep Learning  Machine Learning  Ophthalmopathy  Ultra-wide Field (Uwf) Imaging