Shing Chiang Tan

Chee Peng Lim, Shing Chiang Tan, C. Lim, 2000, 2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119).

A self-adaptive class-imbalance TSK neural network with applications to semiconductor defects detection

Junzo Watada, Shuming Wang, Shing Chiang Tan, 2018, Inf. Sci..

Temporal data classification and rule extraction using a probabilistic decision tree

Shing Chiang Tan, M. M. Akhlagh, F. Khak, 2012, 2012 International Conference on Computer & Information Science (ICCIS).

Learning with imbalanced datasets using fuzzy ARTMAP-based neural network models

Marzuki Khalid, Junzo Watada, Zuwairie Ibrahim, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Fuzzy ARTMAP with Binary Relevance for Multi-label Classification

Chee Peng Lim, Junzo Watada, Shing Chiang Tan, 2017, KES-IDT.

A double-elimination-tournament-based competitive co-evolutionary artificial neural network classifier

Shing Chiang Tan, Way-Soong Lim, Bee Yan Hiew, 2017, Neurocomputing.

Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects

Marzuki Khalid, Junzo Watada, Zuwairie Ibrahim, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Evolutionary Fuzzy ARTMAP Neural Networks and their Applications to Fault Detection and Diagnosis

Chee Peng Lim, Shing Chiang Tan, C. Lim, 2010, Neural Processing Letters.

Temporal Sleuth Machine with decision tree for temporal classification

Shing Chiang Tan, Shih Yin Ooi, Wooi Ping Cheah, 2018, Soft Comput..

An ELM based Multi-Agent System and its applications to power generation

Hwa Jen Yap, Shing Chiang Tan, Keem Siah Yap, 2017, Intell. Decis. Technol..

Reducing the complexity of an adaptive radial basis function network with a histogram algorithm

Chee Peng Lim, Shing Chiang Tan, Wooi Ping Cheah, 2016, Neural Computing and Applications.

An Introduction to Computational Intelligence Paradigms

Chee Peng Lim, Lakhmi C. Jain, Shing Chiang Tan, 2008, Computational Intelligence Paradigms.

Evolving an Adaptive Artificial Neural Network with a Gravitational Search Algorithm

Chee Peng Lim, Shing Chiang Tan, 2015, KES-IDT.

3D Kinematics of Upper Limb Functional Assessment Using HTC Vive in Unreal Engine 4

Kok-Swee Sim, Shing Chiang Tan, Fazly Salleh Abas, 2020, ICCCI.

An adaptive conflict-resolving neural-fuzzy classifier

Chee Peng Lim, Shing Chiang Tan, Machavaram Venkata, 2004 .

A Mutation-Based Evolving Neural Network Model and Its Application to Condition Monitoring

Chee Peng Lim, Shing Chiang Tan, M. V. C. Rao, 2007, Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007).

Temporal sampling forest ($$\varvec{\textit{TS-F}}$$TS-F): an ensemble temporal learner

Shing Chiang Tan, Shih Yin Ooi, Wooi Ping Cheah, 2017, Soft Comput..

Integrating Deep Learning and Bayesian Reasoning

Shing Chiang Tan, Wooi Ping Cheah, Sin Yin Tan, 2019, DependSys.

Identifying and Removing Outlier Features Using Neighborhood Rough Set

Shing Chiang Tan, Pey Yun Goh, P. Goh, 2019 .

A Novel Approach to Objectively Quantify the Subjective Perception of Pain Through Electroencephalogram Signal Analysis

Shing Chiang Tan, Kok Swee Sim, Mahmoud Salaheldin Elsayed, 2020, IEEE Access.

Fuzzy ARTMAP and hybrid evolutionary programming for pattern classification

Chee Peng Lim, Shing Chiang Tan, C. Lim, 2011, J. Intell. Fuzzy Syst..

An online pruning strategy for supervised ARTMAP-based neural networks

Chee Peng Lim, Shing Chiang Tan, M. V. C. Rao, 2009, Neural Computing and Applications.

An Evolutionary Artificial Neural Network for Medical Pattern Classification

Chee Peng Lim, Kay Sin Tan, Shing Chiang Tan, 2009, ICONIP.

Fuzzy ARTMAP and a Hybrid Chaos Genetic Algorithm for Medical Pattern Classification

Chee Peng Lim, Shing Chiang Tan, Chin Loo, 2009, Aust. J. Intell. Inf. Process. Syst..

Application of Bayesian belief networks and fuzzy cognitive maps in intrusion analysis

Kuokkwee Wee, Yit Yin Wee, Shing Chiang Tan, 2018, J. Intell. Fuzzy Syst..

Developing a Rule Base for Recommending Insurance Products

Shing Chiang Tan, Siti Fatimah Abdul Razak, Way Soong Lim, 2014 .

A Nodes Reduction Procedure for RBFNDDA through Histogram

Shing Chiang Tan, Wooi Ping Cheah, Pey Yun Goh, 2014, ICONIP.

A Memetic Fuzzy ARTMAP by a Grammatical Evolution Approach

Chee Peng Lim, Junzo Watada, Shing Chiang Tan, 2016, KES-IDT.

Gait recognition via optimally interpolated deformable contours

Alan W. C. Tan, Shing Chiang Tan, Chin-Poo Lee, 2013, Pattern Recognit. Lett..

Finger spelling recognition using neural network

Alan W. C. Tan, Shing Chiang Tan, Kian Ming Lim, 2015, 2015 IEEE Student Conference on Research and Development (SCOReD).

Anomaly Based Intrusion Detection through Temporal Classification

Shing Chiang Tan, Shih Yin Ooi, Wooi Ping Cheah, 2014, ICONIP.

Anomaly Detection Using Correctness Matching Through a Neighborhood Rough Set

Shing Chiang Tan, Wooi Ping Cheah, Pey Yun Goh, 2016, ICONIP.

Encoding Rich Frequencies for Classification of Stroke Patients EEG Signals

Shing Chiang Tan, Kok Swee Sim, Sammani Fawaz, 2020, IEEE Access.

Classification and optimization of product review information using soft computing models

Chee Peng Lim, Shing Chiang Tan, Yu-N Cheah, 2013 .

A hybrid neural network model for rule generation and its application to process fault detection and diagnosis

Chee Peng Lim, Shing Chiang Tan, M. V. C. Rao, 2007, Eng. Appl. Artif. Intell..

An Extended Fuzzy-kNN Approach to Solving Class-imbalanced Problems

Junzo Watada, Bo Wang, Shing Chiang Tan, 2014, IDT/IIMSS/STET.

A hybrid FAM‐CART model for online data classification

Chee Peng Lim, Manjeevan Seera, Shing Chiang Tan, 2018, Comput. Intell..

Gait probability image: An information-theoretic model of gait representation

Alan W. C. Tan, Shing Chiang Tan, Chin-Poo Lee, 2014, J. Vis. Commun. Image Represent..

Advances of metaheuristic algorithms in training neural networks for industrial applications

Hwa Jen Yap, Shing Chiang Tan, Keem Siah Yap, 2021, Soft Computing.

Electroencephalogram-Based Attention Level Classification Using Convolution Attention Memory Neural Network

Shing Chiang Tan, Chean Khim Toa, Kok Swee Sim, 2021, IEEE Access.

Metric Learning Based Convolutional Neural Network for Left-Right Brain Dominance Classification

Shing Chiang Tan, Kok Swee Sim, Zheng You Lim, 2021, IEEE Access.

Emotiv Insight with Convolutional Neural Network: Visual Attention Test Classification

Shing Chiang Tan, Chean Khim Toa, Kok-Swee Sim, 2021, ICCCI.

Parallel stacked autoencoder with particle swarm optimization for community detection in complex networks

Shing Chiang Tan, Wooi Ping Cheah, Mohammed Al-Andoli, 2021, Applied Intelligence.

A Review on Community Detection in Large Complex Networks from Conventional to Deep Learning Methods: A Call for the Use of Parallel Meta-Heuristic Algorithms

Shing Chiang Tan, Wooi Ping Cheah, Mohammed Nasser Al-Andoli, 2021, IEEE Access.

Hybridization of harmonic search algorithm in training radial basis function with dynamic decay adjustment for condition monitoring

Hwa Jen Yap, Shing Chiang Tan, Hue Yee Chong, 2021, Soft Computing.

Deep autoencoder-based community detection in complex networks with particle swarm optimization and continuation algorithms

Shing Chiang Tan, Wooi Ping Cheah, Mohammed Al-Andoli, 2021, J. Intell. Fuzzy Syst..

A Parsimonious Radial Basis Function-Based Neural Network for Data Classification

Shing Chiang Tan, J. Watada, C. Lim, 2016 .

METHODOLOGIES AND APPLICATION Temporal sampling forest ( TS-F ): an ensemble temporal learner

Shing Chiang Tan, S. Ooi, W. Cheah, 2016 .

Parallel stacked autoencoder with particle swarm optimization for community detection in complex networks

Shing Chiang Tan, W. Cheah, M. Al-Andoli, 2021, Applied Intelligence.

Temporal Sleuth Machine with decision tree for temporal classification

Shing Chiang Tan, S. Ooi, W. Cheah, 2017, Soft Computing.

On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment

Shing Chiang Tan, M.V.C. Rao, Shing Chiang Tan, 2006, Neurocomputing.

Determination of Muscle Power Using RMS of Electromyography for Stroke Survivors

Shing Chiang Tan, Choon Chen Lim, K. Sim, 2021 .

Parallel Deep Learning with a hybrid BP-PSO framework for feature extraction and malware classification

Shing Chiang Tan, K. Sim, M. Al-Andoli, 2022, Appl. Soft Comput..

Reducing the Complexity of Casual Representation in Bayesian Belief Network

Shing Chiang Tan, K. Wee, Y. Wee, 2021, F1000Research.

On the use of QDE-SVM for gene feature selection and cell type classification from scRNA-seq data

Shing Chiang Tan, C. Ong, Grace Yee Lin Ng, 2023, PloS one.

A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification

Shing Chiang Tan, K. S. Yap, S. Wong, 2014, Neural Processing Letters.

An Ensemble-Based Parallel Deep Learning Classifier With PSO-BP Optimization for Malware Detection

Shing Chiang Tan, K. Sim, M. Al-Andoli, 2023, IEEE Access.

An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection

Shing Chiang Tan, M. Al-Andoli, C. Lim, 2023, J. Intell. Fuzzy Syst..

Deep learning-based community detection in complex networks with network partitioning and reduction of trainable parameters

Shing Chiang Tan, W. Cheah, M. Al-Andoli, 2020, Journal of Ambient Intelligence and Humanized Computing.

A Multiclass Method for Selecting Differentially-Expressed and Cell-Type-Discriminative Genes from scRNA-Seq Data

Shing Chiang Tan, Grace Yee Lin Ng, Chia Sui Ong, 2023, ICCBB.

Effective Computational Techniques for Generating Electroencephalogram Data

Shing Chiang Tan, K. Sim, Mahmoud Elsayed, 2020, 2020 International Conference on Advanced Science and Engineering (ICOASE).