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

collaborators

11 papers

cs.AI2026

Planetary Prediction Engine: Autonomous Geospatial Prediction via Intelligent Data Selection and Foundation Model Embeddings

Evelyn Ma, Rama Kumar Pasumarthi, Kishwar Shafin +26

Addressing critical global challenges, from food security and disaster risk to disease outbreaks and socio-economic vulnerability, demands high-fidelity geospatial modeling. Howeve…

eess.AS2026

WAXAL: A Large-Scale Multilingual African Language Speech Corpus

Abdoulaye Diack, Perry Nelson, Kwaku Agbesi +40

The advancement of speech technology has predominantly favored high-resource languages, creating a significant digital divide for speakers of most Sub-Saharan African languages. To…

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.AI2021

Overcoming Digital Gravity when using AI in Public Health Decisions

Sekou L Remy, Aisha Walcott-Bryant, Nelson K Bore +2

In popular usage, Data Gravity refers to the ability of a body of data to attract applications, services and other data. In this work we introduce a broader concept, "Digital Gravi…

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…

cs.CY2020★ 37 cited

WNTRAC: AI Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19

Parthasarathy Suryanarayanan, Ching-Huei Tsou, Ananya Poddar +23

The Coronavirus disease 2019 (COVID-19) global pandemic has transformed almost every facet of human society throughout the world. Against an emerging, highly transmissible disease…

cs.AI2017

Novel Exploration Techniques (NETs) for Malaria Policy Interventions

Oliver Bent, Sekou L. Remy, Stephen Roberts +1

The task of decision-making under uncertainty is daunting, especially for problems which have significant complexity. Healthcare policy makers across the globe are facing problems…

cs.CY2015★ 1 cited

CommuniSense: Crowdsourcing Road Hazards in Nairobi

Darshan Santani, Jidraph Njuguna, Tierra Bills +4

Nairobi is one of the fastest growing metropolitan cities and a major business and technology powerhouse in Africa. However, Nairobi currently lacks monitoring technologies to obta…