192 citations · 407 across the 13 of their papers we have counts for
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cs.HC2020★ 10 cited
RAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses
M. Chen, A. Abdul-Rahman, D. Archambault +18
The effort for combating the COVID-19 pandemic around the world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, an…
cs.CV2020
Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics
Wei Zeng, Chengqiao Lin, Juncong Lin +4
Deep learning methods are being increasingly used for urban traffic prediction where spatiotemporal traffic data is aggregated into sequentially organized matrices that are then fe…