97 citations · 168 across the 18 of their papers we have counts for
6 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…
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…
Subset Scanning Over Neural Network Activations
Skyler Speakman, Srihari Sridharan, Sekou Remy +2
This work views neural networks as data generating systems and applies anomalous pattern detection techniques on that data in order to detect when a network is processing an anomal…