Susan E. Bedingfield

According to our database1, Susan E. Bedingfield authored at least 14 papers between 2003 and 2022.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Machine Learning Classifiers for Symptom-Based Malaria Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Allocating Students to Industry Placements Using Integer Programming and Ant Colony Optimisation.
Algorithms, 2021

2020
Missing data imputation using decision trees and fuzzy clustering with iterative learning.
Knowl. Inf. Syst., 2020

2018
Preface to the Special Section on Recent Advances in Social Media.
Australas. J. Inf. Syst., 2018

"Power to the People!": Social Media Discourse on Regional Energy Issues in Australia.
Australas. J. Inf. Syst., 2018

A Hybrid Missing Data Imputation Method for Constructing City Mobility Indices.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

2017
A new iterative fuzzy clustering algorithm for multiple imputation of missing data.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2014
Customer Order-Driven BOCR-Based Supplier Selection.
Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

2011
Evaluating the effect of health warnings in influencing Australian smokers' psychosocial and quitting behaviours using fuzzy causal network.
Expert Syst. Appl., 2011

GSOM sequence: An unsupervised dynamic approach for knowledge discovery in temporal data.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2009
Identifying Tobacco Control Policy Drivers: A Neural Network Approach.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008
Performance Evaluation of Intelligent Prediction Models on Smokers' Quitting Behaviour.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

2003
Evolutionary Rule Generation Classification and Its Application to Multi-class Data.
Proceedings of the Computational Science - ICCS 2003, 2003

Predicting Bad Credit Risk: An Evolutionary Approach.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003


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