Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions von Maier, H.R., Kapelan, Z., Kasprzyk, J., Kollat, J., Matott, L.S., Cunha, M.C., Dandy, G.C., Gibbs, M.S., Keedwell, E., Marchi, A., Ostfeld, A., Savic, D., Solomatine, D.P., Vrugt, J.A., Zecchin, A.C., Minsker, B.S., Barbour, E.J., Kuczera, G., Pasha, F., Castelletti, A., Giuliani, M., Reed, P.M.

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Estimation of predictive hydrologic uncertainty using the quantile regression and UNEEC methods and their comparison on contrasting catchments von Dogulu, N, López López, P, Solomatine, D. P, Weerts, A. H, Shrestha, D. L

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Assessing the impact of different sources of topographic data on 1-D hydraulic modelling of floods von Md Ali, A, Solomatine, D. P, Di Baldassarre, G

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Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 1: Concepts and methodology von Elshorbagy, A, Corzo, G, Srinivasulu, S, Solomatine, D P

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Multiobjective Direct Policy Search Using Physically Based Operating Rules in Multireservoir Systems von Ritter, J, Corzo, G, Solomatine, D. P, Angarita, H

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Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 2: Application von Elshorbagy, A., Corzo, G., Srinivasulu, S., Solomatine, D. P.

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Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression von Shrestha, D. L, Solomatine, D. P

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A study of the climate change impacts on fluvial flood propagation in the Vietnamese Mekong Delta von Van, P. D. T, Popescu, I, van Griensven, A, Solomatine, D. P, Trung, N. H, Green, A

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Neural networks and M5 model trees in modelling water level–discharge relationship von Bhattacharya, B., Solomatine, D.P.

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Machine Learning Approach to Modeling Sediment Transport von Bhattacharya, B, Price, R. K, Solomatine, D. P

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Alternative configurations of quantile regression for estimating predictive uncertainty in water level forecasts for the upper Severn River: a comparison von López López, P, Verkade, J. S, Weerts, A. H, Solomatine, D. P

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novel approach to parameter uncertainty analysis of hydrological models using neural networks von Shrestha, D.L, Kayastha, N, Solomatine, D.P

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Machine learning in soil classification von Bhattacharya, B., Solomatine, D.P.

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Cloud and cluster computing in uncertainty analysis of integrated flood models von MOYA QUIROGA, V, POPESCU, I, SOLOMATINE, D. P, BOCIORT, L

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Fuzzy committees of specialized rainfall-runoff models: further enhancements and tests von Kayastha, N, Ye, J, Fenicia, F, Kuzmin, V, Solomatine, D. P

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Nonlinear chaotic model for predicting storm surges von Siek, M, Solomatine, D P

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A Spatially Enhanced Data‐Driven Multimodel to Improve Semiseasonal Groundwater Forecasts in the High Plains Aquifer, USA von Amaranto, A., Munoz‐Arriola, F., Solomatine, D. P., Corzo, G.

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Model-Based Optimization of Downstream Impact during Filling of a New Reservoir: Case Study of Mandaya/Roseires Reservoirs on the Blue Nile River von Hassaballah, K., Jonoski, A., Popescu, I., Solomatine, D. P.

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Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model von Mazzoleni, M., Amaranto, A., Solomatine, D.P.

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Machine learning in sedimentation modelling von Bhattacharya, B., Solomatine, D.P.

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