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Multiple Kernel Fuzzy Clustering with Unsupervised Random Forests Kernel and Matrix-Induced Regularization Journal article
IEEE Access, 2019,Volume: 7,Page: 3967-3979
Authors:  Zhao Y.-P.;  Chen L.;  Gan M.;  Philip Chen C.L.
Favorite | View/Download:21/0 | TC[WOS]:4 TC[Scopus]:0 | Submit date:2019/02/13
Fuzzy clustering  multiple kernel  regularization  unsupervised random forests  
Standing out from the crowd – An investigation of the signal attributes of Airbnb listings Journal article
International Journal of Contemporary Hospitality Management, 2019,Volume: 32
Authors:  Bin Yao;  Richard T.R. Qiu;  Daisy X.F. Fan;  Anyu Liu;  Dimitrios Buhalis
View | Adobe PDF | Favorite | View/Download:248/13 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/09/10
Signaling Theory  Big Data  Airbnb  Binomial Logistic Model  Booking Probability  Sequential Bayesian Updating  Sharing Economy  
Kestrel-Based Search Algorithm (KSA) for parameter tuning unto Long Short Term Memory (LSTM) Network for feature selection in classification of high-dimensional bioinformatics datasets Conference paper
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018
Authors:  Azbehadji I.E.;  Millham R.;  Fong S.J.;  Yang H.
Favorite | View/Download:18/0 | TC[WOS]:1 TC[Scopus]:0 | Submit date:2019/02/13
Deep learning  Kestrel-based search algorithm  Long short term memory network  Random encircling  
Andrographolide derivative as STAT3 inhibitor that protects acute liver damage in mice Journal article
BIOORGANIC & MEDICINAL CHEMISTRY, 2018,Volume: 26,Issue: 18,Page: 5053-5061
Authors:  Chen, Shao-Ru;  Li, Feng;  Ding, Mo-Yu;  Wang, Decai;  Zhao, Qi;  Wang, Yitao;  Zhou, Guo-Chun;  Wang, Ying
View | Adobe PDF | Favorite | View/Download:1098/77 | TC[WOS]:3 TC[Scopus]:0 | Submit date:2018/10/30
Andrographolide  Stat3 Inhibitor  Acute Liver Damage  Inflammation  
Locating splicing forgery by fully convolutional networks and conditional random field Journal article
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2018,Volume: 66,Page: 103-112
Authors:  Liu, Bo;  Pun, Chi-Man
Favorite | View/Download:27/0 | TC[WOS]:4 TC[Scopus]:0 | Submit date:2018/10/30
Splicing Forgery  Deep Neural Network  Fully Convolutional Network  Conditional Random Field  
Multi-attribute based fuzzy C-means in approximated feature space Conference paper
2017 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2017
Authors:  Liu Z.;  Chen C.L.P.;  Chen L.;  Zhou J.
Favorite | View/Download:4/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/13
Fuzzy C-means  Maximum Entropy Method for weighted data  Quasi-Monte Carlo Feature maps  Random Features  Random Fourier Features maps  Weighted Multi-kernel Fuzzy C-means  
Shadowed set-based rough-fuzzy clustering using random feature mapping Conference paper
2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
Authors:  Kong L.;  Chen L.
Favorite | View/Download:3/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/13
c-Means algorithm  Fuzzy sets  Random Fourier Features  Rough sets  Shadowed sets  
AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest Journal article
SCIENTIFIC REPORTS, 2018,Volume: 8
Authors:  Bhadra, Pratiti;  Yan, Jielu;  Li, Jinyan;  Fong, Simon;  Siu, Shirley W. I.
Favorite | View/Download:26/0 | TC[WOS]:28 TC[Scopus]:0 | Submit date:2018/10/30
Multiple kernel shadowed clustering in approximated feature space Conference paper
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Shanghai, China, 6 17, 2018 - 6 22, 2018
Authors:  Zhao, Yin-Ping;  Chen, Long;  Chen, C. L. Philip
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Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 1,Page: 10-24
Authors:  Chen, C. L. Philip;  Liu, Zhulin
Favorite | View/Download:30/0 | TC[WOS]:139 TC[Scopus]:0 | Submit date:2018/10/30
Big data  big data modeling  broad learning system (BLS)  deep learning  incremental learning  random vector functional-link neural networks (RVFLNN)  single layer feedforward neural networks (SLFN)  singular value decomposition (SVD)