97 citations · 168 across the 18 of their papers we have counts for
4 papers · 1 filter
Learning to Act: Novel Integration of Algorithms and Models for Epidemic Preparedness
Sekou L. Remy, Oliver E. Bent
In this work we present a framework which may transform research and praxis in epidemic planning. Introduced in the context of the ongoing COVID-19 pandemic, we provide a concrete…
A Collaborative Approach to the Analysis of the COVID-19 Response in Africa
Sharon Okwako, Irene Wanyana, Alice Namale +6
The COVID-19 crisis has emphasized the need for scientific methods such as machine learning to speed up the discovery of solutions to the pandemic. Harnessing machine learning tech…
Surrogate Ensemble Forecasting for Dynamic Climate Impact Models
Julian Kuehnert, Deborah McGlynn, Sekou L. Remy +2
As acute climate change impacts weather and climate variability, there is increased demand for robust climate impact model predictions from which forecasts of the impacts can be de…
Deep Temporal Interpolation of Radar-based Precipitation
Michiaki Tatsubori, Takao Moriyama, Tatsuya Ishikawa +5
When providing the boundary conditions for hydrological flood models and estimating the associated risk, interpolating precipitation at very high temporal resolutions (e.g. 5 minut…