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Diana McSpadden

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • physics.ins-det1
ORCID 0000-0002-8520-1631

identity via Semantic Scholar / OpenAlex

most citedDistributed Conditional GAN (discGAN) For Synthetic Healthcare Data Generation

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

collaborators

3 papers

physics.ins-det2024

AI Assisted Experiment Control and Calibration

Thomas Britton, Michael Goodrich, Naomi Jarvis +4

Final report for the AI Assisted Experiment Control and Calibration project. This project integrated AI/ML into the controls and calibration of a production detector system in the…

cs.LG2023

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…

cs.LG2023★ 2 cited

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…

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