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Preview	Issue Date	Title	Author(s)
	2006	Critical values of a kernel density-based mutual information estimator	May, R.; Dandy, G.; Maier, H.; Fernando, T.; Yen, G.; International Joint Conference on Neural Networks (2006 : Vancouver, Canada)
	2005	Efficient selection of inputs for artificial neural network models	Fernando, T.; Maier, H.; Dandy, G.; May, R.; Zerger, A.; Argent, R.; International Congress on Modelling and Simulation (16th : 2005 : Melbourne, Victoria)
	2004	General regression neural networks for modeling disinfection residual in water distribution systems	May, R.; Maier, H.; Dandy, G.; Nixon, J.; World Water and Environmental Resources Congress (2004 : Salt Lake City, Utah)
	2004	Control-oriented water quality modelling using artificial neural networks	May, R.; Maier, H.; Dandy, G.; Nixon, J.; Howlett, P.; Enviro 04 (2004 : Sydney, Australia)
	2010	Data splitting for artificial neural networks using SOM-based stratified sampling	May, R.; Maier, H.; Dandy, G.
	2012	A method for comparing data splitting approaches for developing hydrological ANN models	Wu, W.; May, R.; Dandy, G.; Maier, H.; International Congress on Environmental Modelling and Software (6th : 2012 : Leipzig, Germany)
	2012	Exploring the impact of data splitting methods on artificial neural network models	Wu, W.; Maier, H.; Dandy, G.; May, R.; International Conference on Hydroinformatics (10th : 2012 : Hamburg, Germany)
	2013	A benchmarking approach for comparing data splitting methods for modeling water resources parameters using artificial neural networks	Wu, W.; May, R.; Maier, H.; Dandy, G.
	2008	Application of partial mutual information variable selection to ANN forecasting of water quality in water distribution systems	May, R.; Dandy, G.; Maier, H.; Nixon, J.
	2009	Developing artificial neural networks for water quality modelling and analysis	May, R.; Maier, H.; Dandy, G.; Grady Hanrahan