22 citations · 40 across the 4 of their papers we have counts for
4 papers · 1 filter
LLM-Assisted Visual Analytics: Opportunities and Challenges
Maeve Hutchinson, Radu Jianu, Aidan Slingsby +1
We explore the integration of large language models (LLMs) into visual analytics (VA) systems to transform their capabilities through intuitive natural language interactions. We su…
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,…
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…
Revisited Experimental Comparison of Node-Link and Matrix Representations
Mershack Okoe, Radu Jianu, Stephen Kobourov
Visualizing network data is applicable in domains such as biology, engineering, and social sciences. We report the results of a study comparing the effectiveness of the two primary…