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Results 1-10 of 18 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2014An evaluation framework for input variable selection algorithms for environmental data-driven modelsGalelli, S.; Humphrey, G.; Maier, H.; Castelletti, A.; Dandy, G.; Gibbs, M.
2004Risk-based approach for assessing the effectiveness of flow management in controlling cyanobacterial blooms in riversMaier, H.; Humphrey, G.; Clark, T.; Frazer, A.; Sanderson, A.
2017Improved validation framework and R-package for artificial neural network modelsHumphrey, G.; Maier, H.; Wu, W.; Mount, N.; Dandy, G.; Abrahart, R.; Dawson, C.
2018State updating and calibration period selection to improve dynamic monthly streamflow forecasts for an environmental flow management applicationGibbs, M.; McInerney, D.; Humphrey, G.; Thyer, M.; Maier, H.; Dandy, G.; Kavetski, D.
2005Bayesian training of artificial neural networks used for water resources modelingHumphrey, G.; Lambert, M.; Maier, H.
2008Bayesian model selection applied to artificial neural networks used for water resources modelingHumphrey, G.; Maier, H.; Lambert, M.
2006A probabilistic method for assisting knowledge extraction from artificial neural networks used for hydrological predictionHumphrey, G.; Maier, H.; Lambert, M.
2005Calibration and validation of neural networks to ensure physically plausible hydrological modelingHumphrey, G.; Maier, H.; Lambert, M.
2010Bayesian artificial neural networks : with applications water resources engineeringHumphrey, G.; Maier, H.; Lambert, M.
2008AI Techniques for hydrological Modelling and Management. I: SimulationHumphrey, G.; Maier, H.; Dandy, G.