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Article

Humphrey, Greer B., Maier, Holger R., Wu, Wenyan, Mount, Nick J., Dandy, Graeme C., Abrahart, R.J. and Dawson, C.W. (2017) Improved validation framework and R-package for artificial neural network models. Environmental Modelling and Software, 92 . pp. 82-106. ISSN 1364-8152

Mount, Nick J., Maier, Holger R., Toth, Elena, Elshorbagy, Amin, Solomatine, Dimitri, Chang, Fi-John and Abrahart, R.J. (2016) Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan. Hydrological Sciences Journal . ISSN 2150-3435 (In Press)

Meng-Jung, T., Abrahart, R.J., Mount, Nick J. and Chang, F.-J. (2014) Including spatial distribution in a data-driven rainfall-runoff model to improve reservoir inflow forecasting in Taiwan. Hydrological Processes, 28 (3). pp. 1055-1070. ISSN 1099-1085

Dawson, C.W., Mount, Nick J., Abrahart, R.J. and Louis, J. (2014) Sensitivity analysis for comparison, validation and physical-legitimacy of neural network-based hydrological models. Journal of Hydroinformatics, 16 (2). pp. 407-424. ISSN 1464-7141

Mount, Nick J., Dawson, C.W. and Abrahart, R.J. (2013) Legitimising data-driven models: exemplification of a new data-driven mechanistic modelling framework. Hydrology and Earth System Sciences, 17 . pp. 2827-2843. ISSN 1027-5606

Mount, Nick J., Dawson, C.W. and Abrahart, R.J. (2013) Legitimising data-driven models: exemplification of a new data-driven mechanistic modelling framework. Hydrology and Earth System Sciences, 17 . pp. 2827-2843. ISSN 1027-5606

Mount, Nick J., Abrahart, R.J., Dawson, C.W. and Ab Ghani, N. (2012) The need for operational reasoning in data-driven rating curve prediction of suspended sediment. Hydrological Processes, 26 (26). pp. 3982-4000. ISSN 1099-1085

Abrahart, R.J., Mount, Nick J. and Shamseldin, A.Y. (2012) Neuroemulation: definition and key benefits for water resources research. Hydrological Sciences Journal, 57 (3). pp. 407-423. ISSN 0262-6667

Abrahart, R.J., Mount, Nick J., Ab Ghani, Ngahzaifa, Clifford, Nicholas J. and Dawson, C.W. (2011) DAMP: a protocol for contextualising goodness-of-fit statistics in sediment-discharge data-driven modelling. Journal of Hydrology, 409 (3-4). pp. 596-611. ISSN 0022-1694

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