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A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection Conference paper
Zhong, Yan, Li, Tengyue, Fong, Simon, Li, Xuqi, Tallón-Ballesteros, Antonio J., Mohammed, Sabah. A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection[C]. Sanjurjo González H., Pastor López I., García Bringas P., Quintián H., Corchado E., Switzerland:Springer Science and Business Media Deutschland GmbH, 2021, 38-49.
Authors:  Zhong, Yan;  Li, Tengyue;  Fong, Simon;  Li, Xuqi;  Tallón-Ballesteros, Antonio J.; et al.
Favorite | TC[Scopus]:0 | Submit date：2022/05/13
Internet-of-things  Data Pre-processing  Sensor Data Streams  Big Data Analytics  
Pattern Mining Approaches Used in Social Media Data Review article
2020
Authors:  Jyotismita Chaki;  Nilanjan Dey;  B. K. Panigrahi;  Fuqian Shi;  Simon James Fong; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:1.0/1.1 | Submit date：2021/03/09
Social Media  Pattern Mining  Classification  Clustering  Pre-processing  Feature Extraction  Feature Selection  
A Unified Framework for Detecting Audio Adversarial Examples Conference paper
Xia Du, Chi-Man Pun, Zheng Zhang. A Unified Framework for Detecting Audio Adversarial Examples[C], 2020, 3986-3994.
Authors:  Xia Du;  Chi-Man Pun;  Zheng Zhang
Favorite | TC[WOS]:12 TC[Scopus]:16 | Submit date：2021/12/06
Adversarial Examples Detecting  Artificial Utterances Generation  Multi-fragment Noise Padding  Unified Pre-processing Mechanism  
A clustering based variable sub-window approach using particle swarm optimisation for biomedical sensor data monitoring Journal article
Kun Lan, Simon Fong, Lian-Sheng Liu, Raymond K. Wong, Nilanjan Dey, Richard C. Millham, Kelvin K.L. Wong. A clustering based variable sub-window approach using particle swarm optimisation for biomedical sensor data monitoring[J]. Enterprise Information Systems, 2019, 15(1), 15-35.
Authors:  Kun Lan;  Simon Fong;  Lian-Sheng Liu;  Raymond K. Wong;  Nilanjan Dey; et al.
Favorite | TC[WOS]:6 TC[Scopus]:12  IF:4.4/4.1 | Submit date：2021/03/09
Data Stream Mining  Biomedical Healthcare  Sensor  Pre-processing  Metaheuristics  Adaptive Windowing  
Content-Adaptive Superpixel Segmentation Journal article
Xiao, Xiaolin, Zhou, Yicong, Gong, Yue-Jiao. Content-Adaptive Superpixel Segmentation[J]. IEEE Transactions on Image Processing, 2018, 27(6), 2883-2896.
Authors:  Xiao, Xiaolin;  Zhou, Yicong;  Gong, Yue-Jiao
Favorite | TC[WOS]:45 TC[Scopus]:61  IF:10.8/12.1 | Submit date：2018/10/30
Content-adaption  Discriminability  Pre-processing  Superpixel  
Self-adaptive pre-processing methodology for big data stream mining in internet of things environmental sensor monitoring Journal article
Kun Lan, Simon Fong, Wei Song, Athanasios V. Vasilakos, Richard C. Millham. Self-adaptive pre-processing methodology for big data stream mining in internet of things environmental sensor monitoring[J]. Symmetry, 2017, 9(10).
Authors:  Kun Lan;  Simon Fong;  Wei Song;  Athanasios V. Vasilakos;  Richard C. Millham
Favorite | TC[WOS]:9 TC[Scopus]:13  IF:2.2/2.3 | Submit date：2019/02/13
Data Stream Pre-processing  Self-adaptive Segmentation  Clustering-based Particle Swarm Optimization (Cpso)  Internet Of Things (Iot) Datasets  
A time series pre-processing methodology with statistical and spectral analysis for classifying non-stationary stochastic biosignals Journal article
Simon Fong, Kyungeun Cho, Osama Mohammed, Jinan Fiaidhi, Sabah Mohammed. A time series pre-processing methodology with statistical and spectral analysis for classifying non-stationary stochastic biosignals[J]. Journal of Supercomputing, 2016, 72(10), 3887-3908.
Authors:  Simon Fong;  Kyungeun Cho;  Osama Mohammed;  Jinan Fiaidhi;  Sabah Mohammed
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:2.5/2.4 | Submit date：2019/02/13
Biosignal Classification  Time Series Pre-processing  Data Mining  Medical Informatics  
A Lightweight Data Pre-Processing Strategy with Fast Contradiction Analysis for Incremental Classifier Learning Journal article
Fong, S., Biuk-Aghai, R. P., Si, Y. W., Yap, B. W.. A Lightweight Data Pre-Processing Strategy with Fast Contradiction Analysis for Incremental Classifier Learning[J]. Mathematical Problems in Engineering, 2015, 1-11.
Authors:  Fong, S.;  Biuk-Aghai, R. P.;  Si, Y. W.;  Yap, B. W.
Favorite |   IF:1.430/1.393 | Submit date：2022/06/14
Data Pre-processing  Conflict Analysis  Incremental Learning  Pairwise Classification  
A time-series pre-processing methodology for biosignal classification using statistical feature extraction Conference paper
Simon Fong, Kun Lan, Paul Sun, Sabah Mohammed, Jinan Fiaidhi. A time-series pre-processing methodology for biosignal classification using statistical feature extraction[C], 2013, 207-214.
Authors:  Simon Fong;  Kun Lan;  Paul Sun;  Sabah Mohammed;  Jinan Fiaidhi
Favorite | TC[Scopus]:9 | Submit date：2019/02/13
Biosignal Classification  Time-series Pre-processing  Data Mining  Medical Informatics  
Rare Events Forecasting Using a Residual-Feedback GMDH Neural Network Conference paper
Simon Fong, Zhou Nannan, Raymond K. Wong, Xin-She Yang. Rare Events Forecasting Using a Residual-Feedback GMDH Neural Network[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2013, 464-473.
Authors:  Simon Fong;  Zhou Nannan;  Raymond K. Wong;  Xin-She Yang
Favorite | TC[WOS]:11 TC[Scopus]:14 | Submit date：2019/02/13
Time Series Forecasting  Gmdh  Earthquake Prediction  Ground Ozone  Neural Network  Data Pre-processing