 | Up a level |
Colón-González, F. and Soares Bastos, L. and Hofmann, B. and Hopkin, A. and Harpham, Q. and Crocker, T. and Amato, R. and Ferrario, I. and Moschini, F. and James, S. and Malde, S. and Ainscoe, E. and Nam, V. and Tan, D. and Khoa, N. and Harrison, M. and Tsarouchi, G. and Lumbroso, D. and Brady, O. and Lowe, R. (2021) Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles. PLoS Med, 18 (3).
Ainscoe, E. and Hofmann, B. and Colon, F. and Ferrario, I. and Harpham, Q. and James, S. and Lumbroso, D. and Malde, S. and Moschini, F. and Tsarouchi, G. (2020) Selection and integration of earth observation-based data for an operational disease forecasting system. In: EGU General Assembly 2020, 4-8 May 2020, Online.
McBride, A. and Counsell, C. and Malde, S. and Simm, J.D. (2018) Application of machine learning techniques to support decision making under uncertainty in water resource management. In: AWRA 2018, 4-8 November 2018, Baltimore, USA.
Malde, S. and Tozer, N.P. and Oakley, J. and Gouldby, B.P. and Liu, Y. and Wyncoll, D. (2018) Applying Gaussian process emulators for coastal wave modelling. Coastal Engineering Journal. (Submitted)
Pullen, T.A. and Liu, Y. and Otinar Morillas, P. and Wyncoll, D. and Malde, S. and Gouldby, B.P. (2018) A generic and practical wave overtopping model that includes uncertainty. Proceedings of the Institution of Civil Engineers - Maritime Engineering.
Malde, S. and Wyncoll, D. and Oakley, J. and Tozer, N.P. and Gouldby, B.P. (2016) Applying emulators for improved flood risk analysis. In: FLOODrisk 2016, 18-20 October 2016, Lyon, France.
