An Adaptive Fuzzy Min-Max Conflict-Resolving Classifier. - Shing Chiang Tan; M. V. C. Rao; Chee Peng Lim (WSC, 2004)

On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment. - Shing Chiang Tan; M. V. C. Rao; Chee Peng Lim (Neurocomputing, 2006)

A Mutation-Based Evolving Neural Network Model and Its Application to Condition Monitoring. - Shing Chiang Tan; M. V. C. Rao; Chee Peng Lim (IIH-MSP, 2007)

A hybrid neural network model for rule generation and its application to process fault detection and diagnosis. - Shing Chiang Tan; Chee Peng Lim; M. V. C. Rao (Eng. Appl. Artif. Intell., 2007)

Introduction to Evolutionary Computing in System Design. - Lakhmi C. Jain; Shing Chiang Tan; Chee Peng Lim (Advances in Evolutionary Computing for System Design, 2007)

Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility. - Shing Chiang Tan; M. V. C. Rao; Chee Peng Lim (Appl. Soft Comput., 2008)

A hybrid neural network classifier combining ordered fuzzy ARTMAP and the dynamic decay adjustment algorithm. - Shing Chiang Tan; M. V. C. Rao; Chee Peng Lim (Soft Comput., 2008)

An Introduction to Computational Intelligence Paradigms. - Lakhmi C. Jain; Shing Chiang Tan; Chee Peng Lim (Computational Intelligence Paradigms, 2008)

Improving the Performance of Fuzzy ARTMAP with Hybrid Evolutionary Programming: An Experimental Study. - Shing Chiang Tan; Chee Peng Lim (ICONIP (2), 2009)

An Evolutionary Artificial Neural Network for Medical Pattern Classification. - Shing Chiang Tan; Chee Peng Lim; Kay Sin Tan; Jose C. Navarro (ICONIP (2), 2009)

Fuzzy ARTMAP and a Hybrid Chaos Genetic Algorithm for Medical Pattern Classification. - Chin Loo; Shing Chiang Tan; Chee Peng Lim (Aust. J. Intell. Inf. Process. Syst., 2009)

An online pruning strategy for supervised ARTMAP-based neural networks. - Shing Chiang Tan; M. V. C. Rao; Chee Peng Lim (Neural Comput. Appl., 2009)

Evolutionary Fuzzy ARTMAP Neural Networks and their Applications to Fault Detection and Diagnosis. - Shing Chiang Tan; Chee Peng Lim (Neural Process. Lett., 2010)

Learning with imbalanced datasets using fuzzy ARTMAP-based neural network models. - Shing Chiang Tan; Zuwairie Ibrahim; Wen Jau Lee; Junzo Watada; Marzuki Khalid; Lim Chun Chew (FUZZ-IEEE, 2011)

A Modified Two-Stage SVM-RFE Model for Cancer Classification Using Microarray Data. - Phit Ling Tan; Shing Chiang Tan; Chee Peng Lim; Swee Eng Khor (ICONIP (1), 2011)

Fuzzy ARTMAP and hybrid evolutionary programming for pattern classification. - Shing Chiang Tan; Chee Peng Lim (J. Intell. Fuzzy Syst., 2011)

Integration of supervised ART-based neural networks with a hybrid genetic algorithm. - Shing Chiang Tan; Chee Peng Lim (Soft Comput., 2011)

Gait recognition via optimally interpolated deformable contours. - Chin-Poo Lee; Alan W. C. Tan; Shing Chiang Tan (Pattern Recognit. Lett., 2013)

A Nodes Reduction Procedure for RBFNDDA through Histogram. - Pey Yun Goh; Shing Chiang Tan; Wooi Ping Cheah (ICONIP (1), 2014)

Anomaly Based Intrusion Detection through Temporal Classification. - Shih Yin Ooi; Shing Chiang Tan; Wooi Ping Cheah (ICONIP (3), 2014)

An Online Transfer Learning RBF Neural Network for Cross Domain Data Classification. - Shing Chiang Tan; Chee Peng Lim; Manjeevan Seera (IDT/IIMSS/STET, 2014)

An Extended Fuzzy-kNN Approach to Solving Class-imbalanced Problems. - Zhigang Xiong; Junzo Watada; Zhenyuan Xu; Bo Wang 027; Shing Chiang Tan (IDT/IIMSS/STET, 2014)

Temporal Decision Tree and Interpretable Temporal Rules: J48 and Fuzzy Cognitive Maps Approach. - Shih Yin Ooi; Shing Chiang Tan; Wooi Ping Cheah (Aust. J. Intell. Inf. Process. Syst., 2014)

Time-sliced averaged motion history image for gait recognition. - Chin-Poo Lee; Alan W. C. Tan; Shing Chiang Tan (J. Vis. Commun. Image Represent., 2014)

Gait probability image: An information-theoretic model of gait representation. - Chin-Poo Lee; Alan W. C. Tan; Shing Chiang Tan (J. Vis. Commun. Image Represent., 2014)

Evolving an Adaptive Artificial Neural Network with a Gravitational Search Algorithm. - Shing Chiang Tan; Chee Peng Lim (KES-IDT, 2015)

A method for root cause analysis with a Bayesian belief network and fuzzy cognitive map. - Yit Yin Wee; Wooi Ping Cheah; Shing Chiang Tan; Kuokkwee Wee (Expert Syst. Appl., 2015)

Gait recognition with Transient Binary Patterns. - Chin-Poo Lee; Alan W. C. Tan; Shing Chiang Tan (J. Vis. Commun. Image Represent., 2015)

A hybrid FAM-CART model and its application to medical data classification. - Manjeevan Seera; Chee Peng Lim; Shing Chiang Tan; Chu Kiong Loo (Neural Comput. Appl., 2015)

A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification. - Shen Yuong Wong; Keem Siah Yap; Hwa Jen Yap; Shing Chiang Tan (Neural Process. Lett., 2015)

Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects. - Shing Chiang Tan; Junzo Watada; Zuwairie Ibrahim; Marzuki Khalid (IEEE Trans. Neural Networks Learn. Syst., 2015)

On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation. - Sheng Yuong Wong; Keem Siah Yap; Hwa Jen Yap; Shing Chiang Tan; Siow-Wee Chang (IEEE Trans. Neural Networks Learn. Syst., 2015)

Anomaly Detection Using Correctness Matching Through a Neighborhood Rough Set. - Pey Yun Goh; Shing Chiang Tan; Wooi Ping Cheah (ICONIP (3), 2016)

Classifying Human Activities with Temporal Extension of Random Forest. - Shih Yin Ooi; Shing Chiang Tan; Wooi Ping Cheah (ICONIP (4), 2016)

A Memetic Fuzzy ARTMAP by a Grammatical Evolution Approach. - Shing Chiang Tan; Chee Peng Lim; Junzo Watada (KES-IDT (1), 2016)

A feature covariance matrix with serial particle filter for isolated sign language recognition. - Kian-Ming Lim; Alan W. C. Tan; Shing Chiang Tan (Expert Syst. Appl., 2016)

Intra-specific competitive co-evolutionary artificial neural network for data classification. - Bee Yan Hiew; Shing Chiang Tan; Way-Soong Lim (Neurocomputing, 2016)

Block-based histogram of optical flow for isolated sign language recognition. - Kian-Ming Lim; Alan W. C. Tan; Shing Chiang Tan (J. Vis. Commun. Image Represent., 2016)

Rough Set-Based Text Mining from a Large Data Repository of Experts' Diagnoses for Power Systems. - Junzo Watada; Shing Chiang Tan; Yoshiyuki Matsumoto; Pandian Vasant (KES-IDT (2), 2017)

Fuzzy ARTMAP with Binary Relevance for Multi-label Classification. - Lik Xun Yuan; Shing Chiang Tan; Pey Yun Goh; Chee Peng Lim; Junzo Watada (KES-IDT (2), 2017)

A double-elimination-tournament-based competitive co-evolutionary artificial neural network classifier. - Bee Yan Hiew; Shing Chiang Tan; Way-Soong Lim (Neurocomputing, 2017)

A four dukkha state-space model for hand tracking. - Kian-Ming Lim; Alan W. C. Tan; Shing Chiang Tan (Neurocomputing, 2017)

Reducing the complexity of an adaptive radial basis function network with a histogram algorithm. - Pey Yun Goh; Shing Chiang Tan; Wooi Ping Cheah; Chee Peng Lim (Neural Comput. Appl., 2017)

Temporal sampling forest (TS - F): an ensemble temporal learner. - Shih Yin Ooi; Shing Chiang Tan; Wooi Ping Cheah (Soft Comput., 2017)

A Revisit of Reducing Hidden Nodes in a Radial Basis Function Neural Network with Histogram. - Pey Yun Goh; Shing Chiang Tan; Wooi Ping Cheah (ICONIP (2), 2018)

A hybrid FAM-CART model for online data classification. - Manjeevan Seera; Chee Peng Lim; Shing Chiang Tan (Comput. Intell., 2018)

An ELM based multi-agent system and its applications to power generation. - Chong Tak Yaw; Shen Yuong Wong; Keem Siah Yap; Hwa Jen Yap; Ungku Anisa Ungku Amirulddin; Shing Chiang Tan (Intell. Decis. Technol., 2018)

A self-adaptive class-imbalance TSK neural network with applications to semiconductor defects detection. - Shing Chiang Tan; Shuming Wang; Junzo Watada (Inf. Sci., 2018)

Application of Bayesian belief networks and fuzzy cognitive maps in intrusion analysis. - Yit Yin Wee; Wooi Ping Cheah; Shih Yin Ooi; Shing Chiang Tan; Kuokkwee Wee (J. Intell. Fuzzy Syst., 2018)

Temporal Sleuth Machine with decision tree for temporal classification. - Shih Yin Ooi; Shing Chiang Tan; Wooi Ping Cheah (Soft Comput., 2018)

Integrating Deep Learning and Bayesian Reasoning. - Sin Yin Tan; Wooi Ping Cheah; Shing Chiang Tan (DependSys, 2019)

Adaptive rough radial basis function neural network with prototype outlier removal. - Pey Yun Goh; Shing Chiang Tan; Wooi Ping Cheah; Chee Peng Lim (Inf. Sci., 2019)

An evaluation of the role of fuzzy cognitive maps and Bayesian belief networks in the development of causal knowledge systems. - Yit Yin Wee; Wooi Ping Cheah; Shing Chiang Tan; Kuokkwee Wee (J. Intell. Fuzzy Syst., 2019)

Isolated sign language recognition using Convolutional Neural Network hand modelling and Hand Energy Image. - Kian-Ming Lim; Alan Wee-Chiat Tan; Chin-Poo Lee; Shing Chiang Tan (Multim. Tools Appl., 2019)

3D Kinematics of Upper Limb Functional Assessment Using HTC Vive in Unreal Engine 4. - Kai Liang Lew; Kok Swee Sim; Shing Chiang Tan; Fazly Salleh Abas (ICCCI (CCIS Volume), 2020)

A Novel Approach to Objectively Quantify the Subjective Perception of Pain Through Electroencephalogram Signal Analysis. - Mahmoud Elsayed; Kok Swee Sim; Shing Chiang Tan (IEEE Access, 2020)

Encoding Rich Frequencies for Classification of Stroke Patients EEG Signals. - Fawaz Sammani; Kok Swee Sim; Shing Chiang Tan (IEEE Access, 2020)

An Artificial Bee Colony-Based Double Layered Neural Network Approach for Solving Quadratic Bi-Level Programming Problems. - Junzo Watada; Arunava Roy; Bo Wang 027; Shing Chiang Tan; Bing Xu (IEEE Access, 2020)

Emotiv Insight with Convolutional Neural Network: Visual Attention Test Classification. - Chean Khim Toa; Kok Swee Sim; Shing Chiang Tan (ICCCI (CCIS Volume), 2021)

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. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Wooi Ping Cheah; Sin Yin Tan (IEEE Access, 2021)

Metric Learning Based Convolutional Neural Network for Left-Right Brain Dominance Classification. - Zheng You Lim; Kok Swee Sim; Shing Chiang Tan (IEEE Access, 2021)

Electroencephalogram-Based Attention Level Classification Using Convolution Attention Memory Neural Network. - Chean Khim Toa; Kok Swee Sim; Shing Chiang Tan (IEEE Access, 2021)

Deep learning-based community detection in complex networks with network partitioning and reduction of trainable parameters. - Mohammed Nasser Al-Andoli; Wooi Ping Cheah; Shing Chiang Tan (J. Ambient Intell. Humaniz. Comput., 2021)

Deep autoencoder-based community detection in complex networks with particle swarm optimization and continuation algorithms. - Mohammed Nasser Al-Andoli; Wooi Ping Cheah; Shing Chiang Tan (J. Intell. Fuzzy Syst., 2021)

Hybridization of harmonic search algorithm in training radial basis function with dynamic decay adjustment for condition monitoring. - Hue Yee Chong; Shing Chiang Tan; Hwa Jen Yap (Soft Comput., 2021)

Advances of metaheuristic algorithms in training neural networks for industrial applications. - Hue Yee Chong; Hwa Jen Yap; Shing Chiang Tan; Keem Siah Yap; Shen Yuong Wong (Soft Comput., 2021)

Trapdoor Privacy in Public Key Encryption With Keyword Search: A Review. - Koon-Ming Chan; Swee-Huay Heng; Wei-Chuen Yau; Shing Chiang Tan (IEEE Access, 2022)

Parallel stacked autoencoder with particle swarm optimization for community detection in complex networks. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Wooi Ping Cheah (Appl. Intell., 2022)

Parallel Deep Learning with a hybrid BP-PSO framework for feature extraction and malware classification. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Kok Swee Sim; Chee Peng Lim; Pey Yun Goh (Appl. Soft Comput., 2022)

Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Wooi Ping Cheah (Inf. Sci., 2022)

A Multiclass Method for Selecting Differentially-Expressed and Cell-Type-Discriminative Genes from scRNA-Seq Data. - Grace Yee Lin Ng; Chia Sui Ong; Shing Chiang Tan (ICCBB, 2023)

An Ensemble-Based Parallel Deep Learning Classifier With PSO-BP Optimization for Malware Detection. - Mohammed Nasser Al-Andoli; Kok Swee Sim; Shing Chiang Tan; Pey Yun Goh; Chee Peng Lim (IEEE Access, 2023)

A Parallel Ensemble Learning Model for Fault Detection and Diagnosis of Industrial Machinery. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Kok Swee Sim; Manjeevan Seera; Chee Peng Lim (IEEE Access, 2023)

An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Kok Swee Sim; Pey Yun Goh; Chee Peng Lim (J. Intell. Fuzzy Syst., 2023)

Optimization of MLVA loci combination using metaheuristic methods. - Grace Yee Lin Ng; Kim Loon Ang; Shing Chiang Tan; Chia Sui Ong; Yun Fong Ngeow (J. Intell. Fuzzy Syst., 2023)

K-Resilient Public Key Authenticated Encryption with Keyword Search. - Koon-Ming Chan; Swee-Huay Heng; Syh-Yuan Tan; Shing Chiang Tan (SECRYPT, 2024)

A Framework for Robust Deep Learning Models Against Adversarial Attacks Based on a Protection Layer Approach. - Mohammed Nasser Al-Andoli; Shing Chiang Tan; Kok Swee Sim; Pey Yun Goh; Chee Peng Lim (IEEE Access, 2024)

Comment on "Expressive Public-Key Encryption With Keyword Search: Generic Construction From KP-ABE and an Efficient Scheme Over Prime-Order Groups". - Koon-Ming Chan; Swee-Huay Heng; Syh-Yuan Tan; Shing Chiang Tan (IEEE Access, 2024)

Cervical cancer classification using sparse stacked autoencoder and fuzzy ARTMAP. - Lawrence Chuin Ming Liaw; Shing Chiang Tan; Pey Yun Goh; Chee Peng Lim (Neural Comput. Appl., 2024)

Adaptive Contrast Enhancement With Lesion Focusing (ACELF). - Jinger Ang; Kok Swee Sim; Shing Chiang Tan; Chee Peng Lim (IEEE Access, 2025)

SEM Deep Learning Multiclass Noise Level Classification With Data Augmentation. - Kai Liang Lew; Kok Swee Sim; Shing Chiang Tan (IEEE Access, 2025)

A Comprehensive Review of Cryptographic Techniques in Federated Learning for Secure Data Sharing and Applications. - Anik Sen; Swee-Huay Heng; Shing Chiang Tan (IEEE Access, 2025)

A histogram SMOTE-based sampling algorithm with incremental learning for imbalanced data classification. - Lawrence Chuin Ming Liaw; Shing Chiang Tan; Pey Yun Goh; Chee Peng Lim (Inf. Sci., 2025)