Susan E. Bedingfield

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

Collaborative distances:

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

2022

Machine Learning Classifiers for Symptom-Based Malaria Prediction.

Yulianti Paula Bria, Chung-Hsing Yeh, Susan E. Bedingfield

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

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

Dhananjay R. Thiruvady, Kerri Morgan, Susan E. Bedingfield, Asef Nazari

Algorithms, 2021

2020

Missing data imputation using decision trees and fuzzy clustering with iterative learning.

Sanaz Nikfalazar, Chung-Hsing Yeh, Susan E. Bedingfield, Hadi Akbarzadeh Khorshidi

Knowl. Inf. Syst., 2020

2018

Preface to the Special Section on Recent Advances in Social Media.

Daswin De Silva, Susan E. Bedingfield, Damminda Alahakoon

Australas. J. Inf. Syst., 2018

"Power to the People!": Social Media Discourse on Regional Energy Issues in Australia.

Kerri Morgan, Marc Cheong, Susan E. Bedingfield

Australas. J. Inf. Syst., 2018

A Hybrid Missing Data Imputation Method for Constructing City Mobility Indices.

Sanaz Nikfalazar, Chung-Hsing Yeh, Susan E. Bedingfield, Hadi Akbarzadeh Khorshidi

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.

Sanaz Nikfalazar, Chung-Hsing Yeh, Susan E. Bedingfield, Hadi Akbarzade Khorshidi

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2014

Customer Order-Driven BOCR-Based Supplier Selection.

Chang-Joo Yun, Chung-Hsing Yeh, Susan E. Bedingfield

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.

Jian Ying Zhang, Ron Borland, Ken Coghill, Sonja Petrovic-Lazarevic, David Young, Chung-Hsing Yeh, Susan E. Bedingfield

Expert Syst. Appl., 2011

GSOM sequence: An unsupervised dynamic approach for knowledge discovery in temporal data.

Asanka Fonseka, Damminda Alahakoon, Susan E. Bedingfield

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2009

Identifying Tobacco Control Policy Drivers: A Neural Network Approach.

Xiaojiang Ding, Susan E. Bedingfield, Chung-Hsing Yeh, Ron Borland, David Young, Sonja Petrovic-Lazarevic, Ken Coghill

Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008

Performance Evaluation of Intelligent Prediction Models on Smokers' Quitting Behaviour.

Chang-Joo Yun, Xiaojiang Ding, Susan E. Bedingfield, Chung-Hsing Yeh, Ron Borland, David Young, Sonja Petrovic-Lazarevic, Ken Coghill, Jian Ying Zhang

Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

2003

Evolutionary Rule Generation Classification and Its Application to Multi-class Data.

Susan E. Bedingfield, Kate A. Smith

Proceedings of the Computational Science - ICCS 2003, 2003

Predicting Bad Credit Risk: An Evolutionary Approach.

Susan E. Bedingfield, Kate A. Smith

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003