2 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
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…
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…