Wooi Ping Cheah

Orcid: 0000-0002-0829-2269

According to our database1, Wooi Ping Cheah authored at least 28 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
LTE Downlink Scheduling: A True Bayesian Estimate Approach.
J. Commun., 2022

Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks.
Inf. Sci., 2022

Parallel stacked autoencoder with particle swarm optimization for community detection in complex networks.
Appl. Intell., 2022

2021
Deep autoencoder-based community detection in complex networks with particle swarm optimization and continuation algorithms.
J. Intell. Fuzzy Syst., 2021

Deep learning-based community detection in complex networks with network partitioning and reduction of trainable parameters.
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.
IEEE Access, 2021

2020
Assessment of Security Risk Impact on Mobile Payment Services.
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.
J. Intell. Fuzzy Syst., 2019

Adaptive rough radial basis function neural network with prototype outlier removal.
Inf. Sci., 2019

Integrating Deep Learning and Bayesian Reasoning.
Proceedings of the Dependability in Sensor, Cloud, and Big Data Systems and Applications, 2019

2018
Temporal Sleuth Machine with decision tree for temporal classification.
Soft Comput., 2018

Application of Bayesian belief networks and fuzzy cognitive maps in intrusion analysis.
J. Intell. Fuzzy Syst., 2018

Bayesian information criterion in LTE downlink scheduling algorithm.
Int. Arab J. Inf. Technol., 2018

A Revisit of Reducing Hidden Nodes in a Radial Basis Function Neural Network with Histogram.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Temporal sampling forest (TS - F): an ensemble temporal learner.
Soft Comput., 2017

Reducing the complexity of an adaptive radial basis function network with a histogram algorithm.
Neural Comput. Appl., 2017

Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2017

2016
Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator.
CoRR, 2016

Classifying Human Activities with Temporal Extension of Random Forest.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Anomaly Detection Using Correctness Matching Through a Neighborhood Rough Set.
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.
Expert Syst. Appl., 2015

A True Bayesian Estimate concept in LTE downlink scheduling algorithm.
Proceedings of the International Telecommunication Networks and Applications Conference, 2015

2014
Temporal Decision Tree and Interpretable Temporal Rules: J48 and Fuzzy Cognitive Maps Approach.
Aust. J. Intell. Inf. Process. Syst., 2014

Anomaly Based Intrusion Detection through Temporal Classification.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

A Nodes Reduction Procedure for RBFNDDA through Histogram.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2011
Systematic causal knowledge acquisition using FCM Constructor for product design decision support.
Expert Syst. Appl., 2011

2009
Constructing manufacturing-environmental model in Bayesian belief networks for assembly design decision support through fuzzy cognitive maps.
Int. J. Intell. Inf. Database Syst., 2009

2007
A Manufacturing-Environmental Model Using Bayesian Belief Networks for Assembly Design Decision Support.
Proceedings of the New Trends in Applied Artificial Intelligence, 2007


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