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ORCIDWooi Ping Cheah
- > Home > Persons > Wooi Ping Cheah
Publications
- 2022
[j17]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)- [j16]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
- [j14]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) - [j13]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) - [j12]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) - 2019
- [j11]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) - [j10]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) - [c9]Sin Yin Tan, Wooi Ping Cheah, Shing Chiang Tan:
Integrating Deep Learning and Bayesian Reasoning. DependSys 2019: 119-130 - 2018
- [j8]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) - [j7]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) - [c8]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
- [j6]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) - [j5]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) - 2016
- [c6]Shih Yin Ooi, Shing Chiang Tan, Wooi Ping Cheah:
Classifying Human Activities with Temporal Extension of Random Forest. ICONIP (4) 2016: 3-10 - [c5]Pey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah:
Anomaly Detection Using Correctness Matching Through a Neighborhood Rough Set. ICONIP (3) 2016: 434-441 - 2015
- [j4]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) - 2014
- [j3]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) - [c3]Pey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah:
A Nodes Reduction Procedure for RBFNDDA through Histogram. ICONIP (1) 2014: 127-134 - [c2]Shih Yin Ooi, Shing Chiang Tan, Wooi Ping Cheah:
Anomaly Based Intrusion Detection through Temporal Classification. ICONIP (3) 2014: 612-619
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