Everingham, Y.L., Smyth, C.W., and Inman-Bamber, N.G. (2009) Ensemble data mining approaches to forecast regional sugarcane crop production. Agricultural and Forest Meteorology, 149 (3). pp. 689-686.

Coomans, D., Smyth, C., Lee, I., Hancock, T., and Yang, J. (2009) Unsupervised data mining: introduction. In: Brown, Steven D., Tauler, Roma, and Walczak, Beata, (eds.) Comprehensive Chemometrics: chemical and biochemical data analysis. Elsevier, Oxford, UK, pp. 559-576.

Smyth, Christine, and Coomans, Danny (2007) Predictive weighting for cluster ensembles. Journal of Chemometrics, 21 (7-9). pp. 364-375.

Smyth, C., and Coomans, D. (2007) Clustering microarrays with predictive weighted ensembles. In: IEEE Synposium on Computational Intelligence and Bioinformatics and Computational Biology 2007. pp. 98-105. From: 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, 1-5 April 2007, Honolulu, Hawaii.

Smyth, Christine Wendy (2007) Weighted tree-based cluster ensembles for high dimensional data. PhD thesis, James Cook University.

Smyth, Christine, Coomans, Danny, and Everingham, Yvette (2006) Clustering noisy data in a reduced dimension space via multivariate regression trees. Pattern Recognition, 39 (3). pp. 424-431.

Smyth, Christine, Coomans, Danny, Everingham, Yvette, and Hancock, Timothy (2006) Auto-associative multivariate regression trees for cluster analysis. Chemometrics and Intelligent Laboratory Systems, 80 (1). pp. 120-129.