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Preview	Issue Date	Title	Author(s)
	2003	Development of stochastic artificial neural networks for hydrological prediction	Humphrey, G.; Lambert, M.; Maier, H.; Post, D.; International Congress on Modelling and Simulation (15th : 2003 : Townsville, Queensland)
	2006	A probabilistic method for assisting knowledge extraction from artificial neural networks used for hydrological prediction	Humphrey, G.; Maier, H.; Lambert, M.
	2005	Calibration and validation of neural networks to ensure physically plausible hydrological modeling	Humphrey, G.; Maier, H.; Lambert, M.
	2005	A Bayesian approach to artificial neural network model selection	Humphrey, G.; Maier, H.; Lambert, M.; Zerger, A.; Argent, R.; International Congress on Modelling and Simulation (16th : 2005 : Melbourne, Victoria)
	2004	A statistical input pruning method for artificial neural networks used in environmental modelling	Humphrey, G.; Maier, H.; Lambert, M.; Pahl Wostl, C.; Schmidt, S.; Rizzoli, A.; Jakeman, A.; iEMSs 2004 : Biennial Meeting of the International Environmental Modelling and Software Society (2nd : 2004 : University of Osnabruck, Germany)
	2014	An evaluation framework for input variable selection algorithms for environmental data-driven models	Galelli, S.; Humphrey, G.; Maier, H.; Castelletti, A.; Dandy, G.; Gibbs, M.
	2021	Beyond validation: assessing the legitimacy of artificial neural network models	Humphrey, G.; Maier, H.; Wu, W.; Mount, N.; Dandy, G.; Dawson, C.; International Congress on Modelling and Simulation (MODSIM) (5 Dec 2021 - 10 Dec 2021 : Sydney, NSW, Australia)
	2017	Improved validation framework and R-package for artificial neural network models	Humphrey, G.; Maier, H.; Wu, W.; Mount, N.; Dandy, G.; Abrahart, R.; Dawson, C.