10 citations · 10 across the 2 of their papers we have counts for
7 papers
Propagating Visual Designs to Numerous Plots and Dashboards
Saiful Khan, Phong H. Nguyen, Alfie Abdul-Rahman +4
In the process of developing an infrastructure for providing visualization and visual analytics (VIS) tools to epidemiologists and modeling scientists, we encountered a technical c…
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…
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…
Words of Estimative Correlation: Studying Verbalizations of Scatterplots
Rafael Henkin, Cagatay Turkay
Natural language and visualization are being increasingly deployed together for supporting data analysis in different ways, from multimodal interaction to enriched data summaries a…
Progressive Data Science: Potential and Challenges
Cagatay Turkay, Nicola Pezzotti, Carsten Binnig +7
Data science requires time-consuming iterative manual activities. In particular, activities such as data selection, preprocessing, transformation, and mining, highly depend on iter…
Hatching for 3D prints: line-based halftoning for dual extrusion fused deposition modeling
Tim Kuipers, Willemijn Elkhuizen, Jouke Verlinden +1
This work presents a halftoning technique to manufacture 3D objects with the appearance of continuous grayscale imagery for Fused Deposition Modeling (FDM) printers. While droplet-…