activity
20152026
most citedWNTRAC: AI Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19

37 citations · 40 across the 10 of their papers we have counts for

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Showing cs.LGShow all

5 papers · 1 filter

cs.LG2022

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…

cs.LG2022★ 2 cited

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…

cs.LG2022

Sparsity-based Feature Selection for Anomalous Subgroup Discovery

Girmaw Abebe Tadesse, William Ogallo, Catherine Wanjiru +5

Anomalous pattern detection aims to identify instances where deviation from normalcy is evident, and is widely applicable across domains. Multiple anomalous detection techniques ha…

cs.LG2021

Post-discovery Analysis of Anomalous Subsets

Isaiah Onando Mulang', William Ogallo, Girmaw Abebe Tadesse +1

Analyzing the behaviour of a population in response to disease and interventions is critical to unearth variability in healthcare as well as understand sub-populations that require…

cs.LG2021

Automated Supervised Feature Selection for Differentiated Patterns of Care

Catherine Wanjiru, William Ogallo, Girmaw Abebe Tadesse +3

An automated feature selection pipeline was developed using several state-of-the-art feature selection techniques to select optimal features for Differentiating Patterns of Care (D…