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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
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2021/03/09
Clustering  Hypergraph  Machine Learning  Unsupervised Learning  
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  
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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Dual sparse learning via data augmentation for robust facial image classification Journal article
International Journal of Machine Learning and Cybernetics, 2020,Volume: 11,Issue: 8,Page: 1717-1734
Authors:  Zeng,Shaoning;  Zhang,Bob;  Zhang,Yanghao;  Gou,Jianping
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Dictionary learning  Image classification  l1 Regularization  Sparse representation  
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction Journal article
Applied Soft Computing Journal, 2020,Volume: 93
Authors:  Fong,Simon James;  Li,Gloria;  Dey,Nilanjan;  Crespo,Rubén González;  Herrera-Viedma,Enrique
Favorite |  | TC[WOS]:29 TC[Scopus]:50 | Submit date:2021/03/09
2019-nCoV  Coronavirus  COVID-19  Decision support  Monte Carlo simulation  
Intelligent Fault Diagnosis via Semisupervised Generative Adversarial Nets and Wavelet Transform Journal article
IEEE Transactions on Instrumentation and Measurement, 2020,Volume: 69,Issue: 7,Page: 4659-4671
Authors:  Liang,Pengfei;  Deng,Chao;  Wu,Jun;  Li,Guoqiang;  Yang,Zhixin;  Wang,Yuanhang
Favorite |  | TC[WOS]:11 TC[Scopus]:12 | Submit date:2021/03/11
Fault diagnosis  rotating machinery  semisupervised generative adversarial nets (SSGANs)  wavelet transform (WT)  
Can machine learning predict drug nanocrystals? Journal article
Journal of Controlled Release, 2020,Volume: 322,Page: 274-285
Authors:  He,Yuan;  Ye,Zhuyifan;  Liu,Xinyang;  Wei,Zhengjie;  Qiu,Fen;  Li,Hai Feng;  Zheng,Ying;  Ouyang,Defang
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Machine learning  Nanocrystals  Particle size  Polydispersity index (PDI)  Prediction  
Mining massive e-health data streams for IoMT enabled healthcare systems Journal article
Sensors (Switzerland), 2020,Volume: 20,Issue: 7
Authors:  Toor,Affan Ahmed;  Usman,Muhammad;  Younas,Farah;  Fong,Alvis Cheuk M.;  Khan,Sajid Ali;  Fong,Simon
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Class imbalance  Concept drift  Data stream mining  Iomt  Machine learning  
A common topic transfer learning model for crossing city POI recommendations Journal article
IEEE Transactions on Cybernetics, 2019,Volume: 49,Issue: 12,Page: 4282-4295
Authors:  Li,Dichao;  Gong,Zhiguo;  Zhang,Defu
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Graphical models  machine learning  recommender systems  transfer learning  
Predicting complexation performance between cyclodextrins and guest molecules by integrated machine learning and molecular modeling techniques Journal article
Acta Pharmaceutica Sinica B, 2019,Volume: 9,Issue: 6,Page: 1241-1252
Authors:  Zhao,Qianqian;  Ye,Zhuyifan;  Su,Yan;  Ouyang,Defang
Favorite |  | TC[WOS]:12 TC[Scopus]:15 | Submit date:2021/03/02
Binding free energy  Cyclodextrin  Deep learning  Ketoprofen  LightGBM  Machine learning  Molecular modeling  Random forest