2 citations · 2 across the 3 of their papers we have counts for
4 papers
Learning to model pediatric asthma exacerbation from multiple risk factors: a case study in coastal Virginia
Jonathan Colen, Eric Werner, Maryam Golbazi +6
Childhood asthma is a common illness exacerbated by air pollution as well as meteorological and neighborhood-level socioeconomic factors. Modeling asthma exacerbation (AE) in large…
Dataset for Investigating Anomalies in Compute Clusters
Diana McSpadden, Yasir Alanazi, Bryan Hess +8
The dataset was collected for 332 compute nodes throughout May 19 - 23, 2023. May 19 - 22 characterizes normal compute cluster behavior, while May 23 includes an anomalous event. T…
A comparison of machine learning surrogate models of street-scale flooding in Norfolk, Virginia
Diana McSpadden, Steven Goldenberg, Binata Roy +3
Low-lying coastal cities, exemplified by Norfolk, Virginia, face the challenge of street flooding caused by rainfall and tides, which strain transportation and sewer systems and ca…
Distributed Conditional GAN (discGAN) For Synthetic Healthcare Data Generation
David Fuentes, Diana McSpadden, Sodiq Adewole
In this paper, we propose a distributed Generative Adversarial Networks (discGANs) to generate synthetic tabular data specific to the healthcare domain. While using GANs to generat…