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Postboosting Using Extended G-Mean for Online Sequential Multiclass Imbalance Learning Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 12,Page: 6163-6177
作者:  Vong, Chi-Man;  Du, Jie;  Wong, Chi-Man;  Cao, Jiu-Wen
收藏  |  浏览/下载:7/0  |  提交时间:2019/01/17
Dynamic changing distribution  extreme learning machine  imbalance class distribution  multiclass imbalance learning  online sequential learning  
Synthetic Study toward the Total Synthesis of Taxezopidines A and B Journal article
ORGANIC LETTERS, 2018,Volume: 20,Issue: 18,Page: 5905-5909
作者:  Hu, Ya-Jian;  Fan, Jian-Hong;  Li, Shaoping;  Zhao, Jing;  Li, Chuang-Chuang
浏览  |  Adobe PDF(1166Kb)  |  收藏  |  浏览/下载:140/9  |  提交时间:2018/10/30
Pinocembrin from Penthorum chinense Pursh suppresses hepatic stellate cells activation through a unified SIRT3-TGF-beta-Smad signaling pathway Journal article
TOXICOLOGY AND APPLIED PHARMACOLOGY, 2018,Volume: 341,Page: 38-50
作者:  Zhou, Fayang;  Wang, Anqi;  Li, Dan;  Wang, Yitao;  Lin, Ligen
浏览  |  Adobe PDF(2014Kb)  |  收藏  |  浏览/下载:141/10  |  提交时间:2018/10/30
Liver Fibrosis  Hepatic Stellate Cells  Penthorum Chinense Pursh  Pinocembrin  Sma- And Mad-related Proteins  Silent Mating Type Information Regulation 2 Homolog 3  
DeMalC: A feature-rich machine learning framework for malicious call detection Conference paper
International Conference on Information and Knowledge Management, Proceedings
作者:  Li Y.;  Hou D.;  Pan A.;  Gong Z.
收藏  |  浏览/下载:5/0  |  提交时间:2019/02/12
Antifraud APP  Data mining for social security  Malicious call detection  
DeMalC: A Feature-rich Machine Learning Framework for Malicious Call Detection Conference paper
作者:  Li, Yuhong;  Hou, Dongmei;  Pan, Aimin;  Gong, Zhiguo;  Assoc Comp Machinery
收藏  |  浏览/下载:7/0  |  提交时间:2018/10/30
Data Mining for Social Security  Malicious Call Detection  Anti-fraud APP  
Adaptive ensemble with trust networks and collaborative recommendations Journal article
Knowledge and Information Systems, 2015,Volume: 44,Issue: 3,Page: 663-688
作者:  Zou H.;  Gong Z.;  Zhang N.;  Li Q.;  Rao Y.
收藏  |  浏览/下载:3/0  |  提交时间:2019/02/12
Cluster Coefficient  Collaborative Filtering  Ensemble  Recommender  Sentiment Analysis  Trust Network  
Modelling and prediction of diesel engine performance using relevance vector machine Journal article
International Journal of Green Energy, 2015,Volume: 12,Issue: 3,Page: 265-271
作者:  Wong K.I.;  Wong P.K.;  Cheung C.S.
收藏  |  浏览/下载:3/0  |  提交时间:2019/02/13
Artificial Neural Network  Data Scarcity  Diesel Engine Modelling  Engine Performance  Relevance Vector Machine  
Modeling and optimization of biodiesel engine performance using kernel-based extreme learning machine and cuckoo search Journal article
Renewable Energy, 2015,Volume: 74,Page: 640
作者:  Wong P.K.;  Wong K.I.;  Vong C.M.;  Cheung C.S.
收藏  |  浏览/下载:15/0  |  提交时间:2018/10/30
Biodiesel  Cuckoo Search  Engine Optimization  Kernel-based Extreme Learning Machine  
Co-regularizing character-based and word-based models for semi-supervised Chinese word segmentation Conference paper
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Sofia, Bulgaria, August , 2013
作者:  Zeng X.;  Wong D.F.;  Chao L.S.;  Trancoso I.
收藏  |  浏览/下载:3/0  |  提交时间:2018/12/24
Modelling of diesel engine performance using advanced machine learning methods under scarce and exponential data set Journal article
Applied Soft Computing Journal, 2013,Volume: 13,Issue: 11,Page: 4428-4441
作者:  Wong K.I.;  Wong P.K.;  Cheung C.S.;  Vong C.M.
收藏  |  浏览/下载:2/0  |  提交时间:2019/02/13
Data Exponentiality  Data Scarcity  Diesel Engine Modelling  Engine Performance  Hybrid Inference  Kernel Based Extreme Learning Machine