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Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection Journal article
Pattern Recognition, 2019,Volume: 89,Page: 119-133
Authors:  Yuan H.;  Li J.;  Lai L.L.;  Tang Y.Y.
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Nonnegative spectral analysis  Sparse matrix regression  Two-dimensional feature selection  Unsupervised learning  
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.
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Deep learning  Kestrel-based search algorithm  Long short term memory network  Random encircling  
Data stream mining with swarm decision table in fog computing environment Conference paper
ACM International Conference Proceeding Series
Authors:  Li J.;  Fong S.;  Li T.;  Song W.
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Chemical gas sensors  Data analytics  Data mining  Fog computing  Internet of Things  SDT  
Data stream mining in fog computing environment with feature selection using ensemble of swarm search algorithms Conference paper
2018 Conference on Information Communications Technology and Society, ICTAS 2018 - Proceedings
Authors:  Ma B.B.;  Fong S.;  Millham R.
Favorite  |  View/Download:5/0  |  Submit date:2019/02/13
Data Analytics  Data mining  Fog computing  Gas Sensor  Internet of Things  
A novel algorithm for neural network architecture generation, parameter optimization and feature selection - ParFeatArch generator Conference paper
ACM International Conference Proceeding Series
Authors:  Brito R.;  Fong S.;  Wu Y.;  Deb S.
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Feature selection  Generative algorithms  Neural networks  Particle swarm optimization (PSO)  
Swarm search methods in weka for data mining Conference paper
ACM International Conference Proceeding Series
Authors:  Fong S.;  Biuk-Aghai R.P.;  Millham R.C.
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Data mining  Feature selection  Metaheuristics  Search methods  
Generating neural networks with optimal features through particle swarm optimization Conference paper
ACM International Conference Proceeding Series
Authors:  Brito R.;  Fong S.;  Zhuang Y.;  Wu Y.
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Feature selection  Generative algorithms  Neural networks  Particle Swarm Optimization (PSO)  
Big data mining algorithms for fog computing Conference paper
ACM International Conference Proceeding Series
Authors:  Fong S.
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Computer network security  Security threats  SME  
Training classifiers with shadow features for sensor-based human activity recognition Journal article
Sensors (Switzerland), 2017,Volume: 17,Issue: 3
Authors:  Fong S.;  Song W.;  Cho K.;  Wong R.;  Wong K.K.L.
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Classification  Feature selection  Human activity recognition  Supervised learning  
Tensor Manifold Discriminant Projections for Acceleration-Based Human Activity Recognition Journal article
IEEE Transactions on Multimedia, 2016,Volume: 18,Issue: 10,Page: 1977-1987
Authors:  Guo Y.;  Tao D.;  Cheng J.;  Dougherty A.;  Li Y.;  Yue K.;  Zhang B.
Favorite  |  View/Download:3/0  |  Submit date:2019/04/04
Accelerometers  human activity recognition  multimedia big data  rank order  Tensor representation