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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)
2009	Selection of input variables for data driven models: An average shifted histogram partial mutual information estimator approach	Fernando, T.; Maier, H.; Dandy, G.
2007	Assessing prediction uncertainty in the BIGMOD model: A shuffled complex evolution metropolis algorithm approach	Fernando, T.; Maier, H.; Dandy, G.; Croke, B.; Lex Oxley; International Congress on Modelling and Simulation (17th : 2007 : Christchurch, New Zealand)
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)
2002	An international comparative study of artificial neural network techniques for river stage forecasting	Abrahart, R.; Anctil, F.; Bowden, G.; Dandy, G.; Maier, H.; Campolo, M.; Soldati, A.; Cannas, B.; Fanni, A.; Dawson, C.; Dulal, K.; Elshorbagy, A.; Hall, M.; Varoonchotikul, P.; Imrie, C.; Jain, S.; Jayawardena, A.; Fernando, T.; Liong, S.; Doan, C.; et al.; Bradley, C.; Hannah, D.; National Hydrology Symposium (8th : 2002 : Birmingham, U.K.)
2008	Non-linear variable selection for artificial neural networks using partial mutual information	May, R.; Maier, H.; Dandy, G.; Fernando, T.