97 citations · 101 across the 7 of their papers we have counts for
11 papers
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…
An Analysis of Reinforcement Learning for Malaria Control
Ndivhuwo Makondo, Arinze Lawrence Folarin, Simphiwe Nhlahla Zitha +1
Previous work on policy learning for Malaria control has often formulated the problem as an optimization problem assuming the objective function and the search space have a specifi…
Disease Progression Modeling Workbench 360
Parthasarathy Suryanarayanan, Prithwish Chakraborty, Piyush Madan +9
In this work we introduce Disease Progression Modeling workbench 360 (DPM360) opensource clinical informatics framework for collaborative research and delivery of healthcare AI. DP…
Narratives and Counternarratives on Data Sharing in Africa
Rediet Abebe, Kehinde Aruleba, Abeba Birhane +4
As machine learning and data science applications grow ever more prevalent, there is an increased focus on data sharing and open data initiatives, particularly in the context of th…
Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network
Nelson Kibichii Bore, Ravi Kiran Raman, Isaac M. Markus +8
Policy decisions are increasingly dependent on the outcomes of simulations and/or machine learning models. The ability to share and interact with these outcomes is relevant across…