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2020 – today
- 2025
[j57]Lawrence Chuin Ming Liaw, Shing Chiang Tan, Pey Yun Goh, Chee Peng Lim:
A histogram SMOTE-based sampling algorithm with incremental learning for imbalanced data classification. Inf. Sci. 686: 121193 (2025)- 2024
- [j56]Mohammed Nasser Al-Andoli
, Shing Chiang Tan, Kok-Swee Sim, Pey Yun Goh, Chee Peng Lim:
A Framework for Robust Deep Learning Models Against Adversarial Attacks Based on a Protection Layer Approach. IEEE Access 12: 17522-17540 (2024) - [j55]Koon-Ming Chan, Swee-Huay Heng, Syh-Yuan Tan, Shing Chiang Tan:
Comment on "Expressive Public-Key Encryption With Keyword Search: Generic Construction From KP-ABE and an Efficient Scheme Over Prime-Order Groups". IEEE Access 12: 91551-91555 (2024) - [j54]Lawrence Chuin Ming Liaw, Shing Chiang Tan, Pey Yun Goh, Chee Peng Lim:
Cervical cancer classification using sparse stacked autoencoder and fuzzy ARTMAP. Neural Comput. Appl. 36(22): 13895-13913 (2024) - [c22]Koon-Ming Chan, Swee-Huay Heng, Syh-Yuan Tan, Shing Chiang Tan:
K-Resilient Public Key Authenticated Encryption with Keyword Search. SECRYPT 2024: 381-388 - 2023
- [j53]Mohammed Nasser Al-Andoli, Shing Chiang Tan, Kok-Swee Sim, Manjeevan Seera, Chee Peng Lim:
A Parallel Ensemble Learning Model for Fault Detection and Diagnosis of Industrial Machinery. IEEE Access 11: 39866-39878 (2023) - [j52]Mohammed Nasser Al-Andoli, Kok-Swee Sim, Shing Chiang Tan, Pey Yun Goh, Chee Peng Lim:
An Ensemble-Based Parallel Deep Learning Classifier With PSO-BP Optimization for Malware Detection. IEEE Access 11: 76330-76346 (2023) - [j51]Mohammed Nasser Al-Andoli, Shing Chiang Tan, Kok-Swee Sim, Pey Yun Goh, Chee Peng Lim:
An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection. J. Intell. Fuzzy Syst. 44(6): 10477-10493 (2023) - [j50]Grace Yee Lin Ng, Kim Loon Ang, Shing Chiang Tan, Chia Sui Ong, Yun Fong Ngeow:
Optimization of MLVA loci combination using metaheuristic methods. J. Intell. Fuzzy Syst. 45(6): 12123-12142 (2023) - [c21]Grace Yee Lin Ng, Chia Sui Ong, Shing Chiang Tan:
A Multiclass Method for Selecting Differentially-Expressed and Cell-Type-Discriminative Genes from scRNA-Seq Data. ICCBB 2023: 11-16 - 2022
- [j49]Koon-Ming Chan, Swee-Huay Heng, Wei-Chuen Yau, Shing Chiang Tan:
Trapdoor Privacy in Public Key Encryption With Keyword Search: A Review. IEEE Access 10: 21584-21598 (2022) - [j48]Mohammed Nasser Al-Andoli, Shing Chiang Tan, Wooi Ping Cheah:
Parallel stacked autoencoder with particle swarm optimization for community detection in complex networks. Appl. Intell. 52(3): 3366-3386 (2022) - [j47]Mohammed Nasser Al-Andoli, Shing Chiang Tan, Kok-Swee Sim, Chee Peng Lim, Pey Yun Goh:
Parallel Deep Learning with a hybrid BP-PSO framework for feature extraction and malware classification. Appl. Soft Comput. 131: 109756 (2022) - [j46]Mohammed Nasser Al-Andoli, Shing Chiang Tan, Wooi Ping Cheah:
Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks. Inf. Sci. 600: 94-117 (2022) - 2021
- [j45]Chean Khim Toa, Kok-Swee Sim, Shing Chiang Tan:
Electroencephalogram-Based Attention Level Classification Using Convolution Attention Memory Neural Network. IEEE Access 9: 58870-58881 (2021) - [j44]Mohammed Nasser Al-Andoli, Shing Chiang Tan, Wooi Ping Cheah, Sin Yin Tan:
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. IEEE Access 9: 96501-96527 (2021) - [j43]Zheng You Lim, Kok-Swee Sim, Shing Chiang Tan:
Metric Learning Based Convolutional Neural Network for Left-Right Brain Dominance Classification. IEEE Access 9: 120551-120566 (2021) - [j42]Mohammed Nasser Al-Andoli, Wooi Ping Cheah, Shing Chiang Tan:
Deep learning-based community detection in complex networks with network partitioning and reduction of trainable parameters. J. Ambient Intell. Humaniz. Comput. 12(2): 2527-2545 (2021) - [j41]Mohammed Nasser Al-Andoli, Wooi Ping Cheah, Shing Chiang Tan:
Deep autoencoder-based community detection in complex networks with particle swarm optimization and continuation algorithms. J. Intell. Fuzzy Syst. 40(3): 4517-4533 (2021) - [j40]Hue Yee Chong, Shing Chiang Tan, Hwa Jen Yap:
Hybridization of harmonic search algorithm in training radial basis function with dynamic decay adjustment for condition monitoring. Soft Comput. 25(15): 10221-10235 (2021) - [j39]Hue Yee Chong, Hwa Jen Yap, Shing Chiang Tan, Keem Siah Yap, Shen Yuong Wong:
Advances of metaheuristic algorithms in training neural networks for industrial applications. Soft Comput. 25(16): 11209-11233 (2021) - [c20]Chean Khim Toa, Kok-Swee Sim, Shing Chiang Tan:
Emotiv Insight with Convolutional Neural Network: Visual Attention Test Classification. ICCCI (CCIS Volume) 2021: 348-357 - 2020
- [j38]Junzo Watada, Arunava Roy, Bo Wang, Shing Chiang Tan, Bing Xu:
An Artificial Bee Colony-Based Double Layered Neural Network Approach for Solving Quadratic Bi-Level Programming Problems. IEEE Access 8: 21549-21564 (2020) - [j37]Fawaz Sammani, Kok-Swee Sim, Shing Chiang Tan:
Encoding Rich Frequencies for Classification of Stroke Patients EEG Signals. IEEE Access 8: 135811-135820 (2020) - [j36]Mahmoud Elsayed, Kok-Swee Sim, Shing Chiang Tan:
A Novel Approach to Objectively Quantify the Subjective Perception of Pain Through Electroencephalogram Signal Analysis. IEEE Access 8: 199920-199930 (2020) - [c19]Kai Liang Lew, Kok-Swee Sim, Shing Chiang Tan, Fazly Salleh Abas:
3D Kinematics of Upper Limb Functional Assessment Using HTC Vive in Unreal Engine 4. ICCCI (CCIS Volume) 2020: 264-275
2010 – 2019
- 2019
- [j35]Pey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah, Chee Peng Lim:
Adaptive rough radial basis function neural network with prototype outlier removal. Inf. Sci. 505: 127-143 (2019) - [j34]Yit Yin Wee, Wooi Ping Cheah, Shing Chiang Tan, Kuokkwee Wee:
An evaluation of the role of fuzzy cognitive maps and Bayesian belief networks in the development of causal knowledge systems. J. Intell. Fuzzy Syst. 37(2): 1905-1920 (2019) - [j33]Kian-Ming Lim, Alan Wee-Chiat Tan, Chin-Poo Lee, Shing Chiang Tan:
Isolated sign language recognition using Convolutional Neural Network hand modelling and Hand Energy Image. Multim. Tools Appl. 78(14): 19917-19944 (2019) - [c18]Sin Yin Tan, Wooi Ping Cheah, Shing Chiang Tan:
Integrating Deep Learning and Bayesian Reasoning. DependSys 2019: 119-130 - 2018
- [j32]Manjeevan Seera, Chee Peng Lim, Shing Chiang Tan:
A hybrid FAM-CART model for online data classification. Comput. Intell. 34(2): 562-581 (2018) - [j31]Chong Tak Yaw, Shen Yuong Wong, Keem Siah Yap, Hwa Jen Yap, Ungku Anisa Ungku Amirulddin, Shing Chiang Tan:
An ELM based multi-agent system and its applications to power generation. Intell. Decis. Technol. 12(2): 163-171 (2018) - [j30]Shing Chiang Tan, Shuming Wang, Junzo Watada:
A self-adaptive class-imbalance TSK neural network with applications to semiconductor defects detection. Inf. Sci. 427: 1-17 (2018) - [j29]Yit Yin Wee, Wooi Ping Cheah, Shih Yin Ooi, Shing Chiang Tan, Kuokkwee Wee:
Application of Bayesian belief networks and fuzzy cognitive maps in intrusion analysis. J. Intell. Fuzzy Syst. 35(1): 111-122 (2018) - [j28]Shih Yin Ooi, Shing Chiang Tan, Wooi Ping Cheah:
Temporal Sleuth Machine with decision tree for temporal classification. Soft Comput. 22(24): 8077-8095 (2018) - [c17]Pey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah:
A Revisit of Reducing Hidden Nodes in a Radial Basis Function Neural Network with Histogram. ICONIP (2) 2018: 722-731 - 2017
- [j27]Chong Tak Yaw, Shen Yuong Wong, Keem Siah Yap, Hwa Jen Yap, Ungku Anisa Ungku Amirulddin, Shing Chiang Tan:
An ELM based Multi-Agent System and its applications to power generation. Intell. Decis. Technol. 11(3): 297-305 (2017) - [j26]Bee Yan Hiew, Shing Chiang Tan, Way-Soong Lim:
A double-elimination-tournament-based competitive co-evolutionary artificial neural network classifier. Neurocomputing 249: 345-356 (2017) - [j25]Kian-Ming Lim, Alan W. C. Tan, Shing Chiang Tan:
A four dukkha state-space model for hand tracking. Neurocomputing 267: 311-319 (2017) - [j24]Pey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah, Chee Peng Lim:
Reducing the complexity of an adaptive radial basis function network with a histogram algorithm. Neural Comput. Appl. 28(S-1): 365-378 (2017) - [j23]Shih Yin Ooi, Shing Chiang Tan, Wooi Ping Cheah:
Temporal sampling forest (TS - F): an ensemble temporal learner. Soft Comput. 21(23): 7039-7052 (2017) - [c16]Lik Xun Yuan, Shing Chiang Tan, Pey Yun Goh, Chee Peng Lim, Junzo Watada:
Fuzzy ARTMAP with Binary Relevance for Multi-label Classification. KES-IDT (2) 2017: 127-135 - [c15]Junzo Watada, Shing Chiang Tan, Yoshiyuki Matsumoto, Pandian Vasant:
Rough Set-Based Text Mining from a Large Data Repository of Experts' Diagnoses for Power Systems. KES-IDT (2) 2017: 136-144 - 2016
- [j22]Kian-Ming Lim, Alan W. C. Tan, Shing Chiang Tan:
A feature covariance matrix with serial particle filter for isolated sign language recognition. Expert Syst. Appl. 54: 208-218 (2016) - [j21]Bee Yan Hiew, Shing Chiang Tan, Way-Soong Lim:
Intra-specific competitive co-evolutionary artificial neural network for data classification. Neurocomputing 185: 220-230 (2016) - [j20]Kian-Ming Lim, Alan W. C. Tan, Shing Chiang Tan:
Block-based histogram of optical flow for isolated sign language recognition. J. Vis. Commun. Image Represent. 40: 538-545 (2016) - [c14]Shih Yin Ooi, Shing Chiang Tan, Wooi Ping Cheah:
Classifying Human Activities with Temporal Extension of Random Forest. ICONIP (4) 2016: 3-10 - [c13]Pey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah:
Anomaly Detection Using Correctness Matching Through a Neighborhood Rough Set. ICONIP (3) 2016: 434-441 - [c12]Shing Chiang Tan, Chee Peng Lim, Junzo Watada:
A Memetic Fuzzy ARTMAP by a Grammatical Evolution Approach. KES-IDT (1) 2016: 447-456 - 2015
- [j19]Yit Yin Wee, Wooi Ping Cheah, Shing Chiang Tan, Kuokkwee Wee:
A method for root cause analysis with a Bayesian belief network and fuzzy cognitive map. Expert Syst. Appl. 42(1): 468-487 (2015) - [j18]Chin-Poo Lee, Alan W. C. Tan, Shing Chiang Tan:
Gait recognition with Transient Binary Patterns. J. Vis. Commun. Image Represent. 33: 69-77 (2015) - [j17]Manjeevan Seera, Chee Peng Lim, Shing Chiang Tan, Chu Kiong Loo:
A hybrid FAM-CART model and its application to medical data classification. Neural Comput. Appl. 26(8): 1799-1811 (2015) - [j16]Shen Yuong Wong, Keem Siah Yap, Hwa Jen Yap, Shing Chiang Tan:
A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification. Neural Process. Lett. 42(3): 585-602 (2015) - [j15]Shing Chiang Tan, Junzo Watada, Zuwairie Ibrahim, Marzuki Khalid:
Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects. IEEE Trans. Neural Networks Learn. Syst. 26(5): 933-950 (2015) - [j14]Sheng Yuong Wong, Keem Siah Yap, Hwa Jen Yap, Shing Chiang Tan, Siow-Wee Chang:
On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1417-1430 (2015) - [c11]Shing Chiang Tan, Chee Peng Lim:
Evolving an Adaptive Artificial Neural Network with a Gravitational Search Algorithm. KES-IDT 2015: 599-609 - 2014
- [j13]Shih Yin Ooi, Shing Chiang Tan, Wooi Ping Cheah:
Temporal Decision Tree and Interpretable Temporal Rules: J48 and Fuzzy Cognitive Maps Approach. Aust. J. Intell. Inf. Process. Syst. 14(1) (2014) - [j12]Chin-Poo Lee, Alan W. C. Tan, Shing Chiang Tan:
Time-sliced averaged motion history image for gait recognition. J. Vis. Commun. Image Represent. 25(5): 822-826 (2014) - [j11]Chin-Poo Lee, Alan W. C. Tan, Shing Chiang Tan:
Gait probability image: An information-theoretic model of gait representation. J. Vis. Commun. Image Represent. 25(6): 1489-1492 (2014) - [c10]Pey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah:
A Nodes Reduction Procedure for RBFNDDA through Histogram. ICONIP (1) 2014: 127-134 - [c9]Shih Yin Ooi, Shing Chiang Tan, Wooi Ping Cheah:
Anomaly Based Intrusion Detection through Temporal Classification. ICONIP (3) 2014: 612-619 - [c8]Zhigang Xiong, Junzo Watada, Zhenyuan Xu, Bo Wang, Shing Chiang Tan:
An Extended Fuzzy-kNN Approach to Solving Class-imbalanced Problems. IDT/IIMSS/STET 2014: 200-209 - [c7]Shing Chiang Tan, Chee Peng Lim, Manjeevan Seera:
An Online Transfer Learning RBF Neural Network for Cross Domain Data Classification. IDT/IIMSS/STET 2014: 210-218 - 2013
- [j10]Chin-Poo Lee, Alan W. C. Tan, Shing Chiang Tan:
Gait recognition via optimally interpolated deformable contours. Pattern Recognit. Lett. 34(6): 663-669 (2013) - 2011
- [j9]Shing Chiang Tan, Chee Peng Lim:
Fuzzy ARTMAP and hybrid evolutionary programming for pattern classification. J. Intell. Fuzzy Syst. 22(2-3): 57-68 (2011) - [j8]Shing Chiang Tan, Chee Peng Lim:
Integration of supervised ART-based neural networks with a hybrid genetic algorithm. Soft Comput. 15(2): 205-219 (2011) - [c6]Shing Chiang Tan, Zuwairie Ibrahim, Wen Jau Lee, Junzo Watada, Marzuki Khalid, Lim Chun Chew:
Learning with imbalanced datasets using fuzzy ARTMAP-based neural network models. FUZZ-IEEE 2011: 1084-1089 - [c5]Phit Ling Tan, Shing Chiang Tan, Chee Peng Lim, Swee Eng Khor:
A Modified Two-Stage SVM-RFE Model for Cancer Classification Using Microarray Data. ICONIP (1) 2011: 668-675 - 2010
- [j7]Shing Chiang Tan, Chee Peng Lim:
Evolutionary Fuzzy ARTMAP Neural Networks and their Applications to Fault Detection and Diagnosis. Neural Process. Lett. 31(3): 219-242 (2010)
2000 – 2009
- 2009
- [j6]Chin Loo, Shing Chiang Tan, Chee Peng Lim:
Fuzzy ARTMAP and a Hybrid Chaos Genetic Algorithm for Medical Pattern Classification. Aust. J. Intell. Inf. Process. Syst. 10(4) (2009) - [j5]Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim:
An online pruning strategy for supervised ARTMAP-based neural networks. Neural Comput. Appl. 18(4): 387-395 (2009) - [c4]Shing Chiang Tan, Chee Peng Lim, Kay Sin Tan, Jose C. Navarro:
An Evolutionary Artificial Neural Network for Medical Pattern Classification. ICONIP (2) 2009: 475-482 - [c3]Shing Chiang Tan, Chee Peng Lim:
Improving the Performance of Fuzzy ARTMAP with Hybrid Evolutionary Programming: An Experimental Study. ICONIP (2) 2009: 593-600 - 2008
- [j4]Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim:
Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility. Appl. Soft Comput. 8(1): 543-554 (2008) - [j3]Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim:
A hybrid neural network classifier combining ordered fuzzy ARTMAP and the dynamic decay adjustment algorithm. Soft Comput. 12(8): 765-775 (2008) - [p2]Lakhmi C. Jain, Shing Chiang Tan, Chee Peng Lim:
An Introduction to Computational Intelligence Paradigms. Computational Intelligence Paradigms 2008: 1-23 - 2007
- [j2]Shing Chiang Tan, Chee Peng Lim, M. V. C. Rao:
A hybrid neural network model for rule generation and its application to process fault detection and diagnosis. Eng. Appl. Artif. Intell. 20(2): 203-213 (2007) - [c2]Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim:
A Mutation-Based Evolving Neural Network Model and Its Application to Condition Monitoring. IIH-MSP 2007: 65-68 - [p1]Lakhmi C. Jain, Shing Chiang Tan, Chee Peng Lim:
Introduction to Evolutionary Computing in System Design. Advances in Evolutionary Computing for System Design 2007: 1-9 - 2006
- [j1]Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim:
On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment. Neurocomputing 69(16-18): 2456-2460 (2006) - 2004
- [c1]Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim:
An Adaptive Fuzzy Min-Max Conflict-Resolving Classifier. WSC 2004: 65-76
Coauthor Index
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