91 citations · 242 across the 10 of their papers we have counts for
11 papers
Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations
Jason Dykes, Alfie Abdul-Rahman, Daniel Archambault +30
We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs -- a series of ideas,…
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…
Developing Effective Community Network Analysis Tools According to Visualization Psychology
Darren J. Edwards, Min Chen
Visualization is a useful technology in health science, and especially for community network analysis. Because visualization applications in healthcare are typically risk-averse, h…
The Huge Variable Space in Empirical Studies for Visualization -- A Challenge as well as an opportunity for Visualization Psychology
Min Chen, Alfie Abdul-Rahman, David H. Laidlaw
In each of the last five years, a few dozen empirical studies appeared in visualization journals and conferences. The existing empirical studies have already featured a large numbe…
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models
Qianwen Wang, William Alexander, Jack Pegg +2
In this paper, we present a visual analytics tool for enabling hypothesis-based evaluation of machine learning (ML) models. We describe a novel ML-testing framework that combines t…
FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation
Zirui Wang, Shuda Li, Henry Howard-Jenkins +2
We present FlowNet3D++, a deep scene flow estimation network. Inspired by classical methods, FlowNet3D++ incorporates geometric constraints in the form of point-to-plane distance a…