papers
Publications (3)
eess.IV2022
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study
Matthew Ng, Fumin Guo, Labonny Biswas +4
Objective: Convolutional neural networks (CNNs) have demonstrated promise in automated cardiac magnetic resonance image segmentation. However, when using CNNs in a large real-world…
cs.SE2023
Simulation-Driven Automated End-to-End Test and Oracle Inference
Shreshth Tuli, Kinga Bojarczuk, Natalija Gucevska +3
This is the first work to report on inferential testing at scale in industry. Specifically, it reports the experience of automated testing of integrity systems at Meta. We built an…
cs.SI2016
Credibility and Dynamics of Collective Attention
Tanushree Mitra, Graham Wright, Eric Gilbert
Today, social media provide the means by which billions of people experience news and events happening around the world. However, the absence of traditional journalistic gatekeepin…