Facial expression recognition using a hybrid CNN–SIFT aggregator T Connie, M Al-Shabi, WP Cheah, M Goh International workshop on multi-disciplinary trends in artificial …, 2017 | 182 | 2017 |
A method for root cause analysis with a Bayesian belief network and fuzzy cognitive map YY Wee, WP Cheah, SC Tan, KK Wee Expert Systems with Applications 42 (1), 468-487, 2015 | 73 | 2015 |
Systematic causal knowledge acquisition using FCM constructor for product design decision support WP Cheah, YS Kim, KY Kim, HJ Yang Expert Systems with Applications 38 (12), 15316-15331, 2011 | 45 | 2011 |
Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks MN Al-Andoli, SC Tan, WP Cheah Information Sciences 600, 94-117, 2022 | 43 | 2022 |
Deep learning-based community detection in complex networks with network partitioning and reduction of trainable parameters M Al-Andoli, WP Cheah, SC Tan Journal of Ambient Intelligence and Humanized Computing 12, 2527-2545, 2021 | 43 | 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 MN Al-Andoli, SC Tan, WP Cheah, SY Tan IEEE Access 9, 96501-96527, 2021 | 30 | 2021 |
Causal discovery and reasoning for intrusion detection using bayesian network YY Wee, WP Cheah, SC Tan, KK Wee International Journal of Machine Learning and Computing 1 (2), 185, 2011 | 22 | 2011 |
Predict Software Failure prone by Learning Bayesian Network Y Liu, WP Cheah, BK Kim, H Park International Journal of Advanced Science and Technology 1 (1), 35-42, 2008 | 20 | 2008 |
Deep autoencoder-based community detection in complex networks with particle swarm optimization and continuation algorithms M Al-Andoli, WP Cheah, SC Tan Journal of Intelligent & Fuzzy Systems 40 (3), 4517-4533, 2021 | 19 | 2021 |
Fuzzy cognitive map and Bayesian belief network for causal knowledge engineering: A comparative study WP Cheah, KY Kim, HJ Yang, SH Kim, JS Kim The KIPS Transactions: PartB 15 (2), 147-158, 2008 | 14 | 2008 |
Parallel stacked autoencoder with particle swarm optimization for community detection in complex networks M Al-Andoli, SC Tan, WP Cheah Applied Intelligence, 1-21, 2022 | 13 | 2022 |
Adaptive rough radial basis function neural network with prototype outlier removal PY Goh, SC Tan, WP Cheah, CP Lim Information Sciences 505, 127-143, 2019 | 13 | 2019 |
A manufacturing-environmental model using Bayesian belief networks for assembly design decision support WP Cheah, KY Kim, HJ Yang, SY Choi, HJ Lee International Conference on Industrial, Engineering and Other Applications …, 2007 | 12 | 2007 |
Temporal sampling forest (TS-F TS-F): an ensemble temporal learner SY Ooi, SC Tan, WP Cheah Soft Computing 21, 7039-7052, 2017 | 11 | 2017 |
Constructing manufacturing-environmental model in Bayesian belief networks for assembly design decision support through fuzzy cognitive maps WP Cheah, KY Kim, HJ Yang, MS Kim, JS Kim International Journal of Intelligent Information and Database Systems 3 (1 …, 2009 | 9 | 2009 |
Application of Bayesian belief networks and fuzzy cognitive maps in intrusion analysis YY Wee, WP Cheah, SY Ooi, SC Tan, K Wee Journal of Intelligent & Fuzzy Systems 35 (1), 111-122, 2018 | 5 | 2018 |
Experimental study of elman network in temporal classification SY Ooi, SC Tan, WP Cheah Emerging Trends in Neuro Engineering and Neural Computation, 245-254, 2017 | 5 | 2017 |
An evaluation of the role of fuzzy cognitive maps and Bayesian belief networks in the development of causal knowledge systems YY Wee, WP Cheah, SC Tan, KK Wee Journal of Intelligent & Fuzzy Systems 37 (2), 1905-1920, 2019 | 4 | 2019 |
A True Bayesian Estimate concept in LTE downlink scheduling algorithm KABK Hatta, K Wee, WP Cheah, YY Wee 2015 International Telecommunication Networks and Applications Conference …, 2015 | 4 | 2015 |
Causal knowledge-driven approach for stock analysis A Khorram, CW Ping, LT Hui Proceedings of the 2010 International Conference on Business and Economics …, 2011 | 4 | 2011 |