Wooi Ping Cheah

According to our database, Wooi Ping Cheah authored at least 29 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Cardinality and Bounding Constrained Portfolio Optimization Using Safe Reinforcement Learning.

Yiran Li, Nanjiang Du, Xingke Song, Xiaoying Yang, Tianxiang Cui, Ning Xue, Amin Farjudian, Jianfeng Ren, Wooi Ping Cheah

Proceedings of the International Joint Conference on Neural Networks, 2024

2022

LTE Downlink Scheduling: A True Bayesian Estimate Approach.

Khairul Anwar Bin Kamarul Hatta, Kuokkwee Wee, Wooi Ping Cheah, Yit Yin Wee

J. Commun., 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

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

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

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

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

2020

Assessment of Security Risk Impact on Mobile Payment Services.

Thinesh Ganesan, Thian Song Ong, Wooi Ping Cheah, Tee Connie

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2020

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

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

Integrating Deep Learning and Bayesian Reasoning.

Sin Yin Tan, Wooi Ping Cheah, Shing Chiang Tan

Proceedings of the Dependability in Sensor, Cloud, and Big Data Systems and Applications, 2019

2018

Temporal Sleuth Machine with decision tree for temporal classification.

Shih Yin Ooi, Shing Chiang Tan, Wooi Ping Cheah

Soft Comput., 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

Bayesian information criterion in LTE downlink scheduling algorithm.

Khairul Anwar Bin Kamarul Hatta, Kuokkwee Wee, Wooi Ping Cheah, Yit Yin Wee

Int. Arab J. Inf. Technol., 2018

A Revisit of Reducing Hidden Nodes in a Radial Basis Function Neural Network with Histogram.

Pey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Temporal sampling forest (TS - F): an ensemble temporal learner.

Shih Yin Ooi, Shing Chiang Tan, Wooi Ping Cheah

Soft Comput., 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

Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator.

Tee Connie, Mundher Al-Shabi, Wooi Ping Cheah, Michael Goh Kah Ong

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2017

2016

Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator.

Mundher Al-Shabi, Wooi Ping Cheah, Tee Connie

CoRR, 2016

Classifying Human Activities with Temporal Extension of Random Forest.

Shih Yin Ooi, Shing Chiang Tan, Wooi Ping Cheah

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Anomaly Detection Using Correctness Matching Through a Neighborhood Rough Set.

Pey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

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

A True Bayesian Estimate concept in LTE downlink scheduling algorithm.

Khairul Anwar Bin Kamarul Hatta, Kuokkwee Wee, Wooi Ping Cheah, Yit Yin Wee

Proceedings of the International Telecommunication Networks and Applications Conference, 2015

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

Anomaly Based Intrusion Detection through Temporal Classification.

Shih Yin Ooi, Shing Chiang Tan, Wooi Ping Cheah

Proceedings of the Neural Information Processing - 21st International Conference, 2014

A Nodes Reduction Procedure for RBFNDDA through Histogram.

Pey Yun Goh, Shing Chiang Tan, Wooi Ping Cheah

Proceedings of the Neural Information Processing - 21st International Conference, 2014

2011

Systematic causal knowledge acquisition using FCM Constructor for product design decision support.

Wooi Ping Cheah, Yun Seon Kim, Kyoung-Yun Kim, Hyung Jeong Yang

Expert Syst. Appl., 2011

2009

Constructing manufacturing-environmental model in Bayesian belief networks for assembly design decision support through fuzzy cognitive maps.

Wooi Ping Cheah, Kyoung-Yun Kim, Hyung Jeong Yang, Man-Sun Kim, Jeong-Sik Kim

Int. J. Intell. Inf. Database Syst., 2009

2007

A Manufacturing-Environmental Model Using Bayesian Belief Networks for Assembly Design Decision Support.

Wooi Ping Cheah, Kyoung-Yun Kim, Hyung Jeong Yang, Sook-Young Choi, Hyung-Jae Lee

Proceedings of the New Trends in Applied Artificial Intelligence, 2007