Wallinger M, Piselli T, Tappini A, Archambault D, Liotta G, Nollenburg M. Bundling-Aware Graph Drawing Revisited. IEEE Transactions on Visualization and Computer Graphics, 31(12):10828-10839, 2025 10.1109/TVCG.2025.3616583
Author: Daniel
Layers of Doubt: Typology of Temporal Uncertainty in Dynamic Diffusion Networks
Baumgartl T, Sondag M, Filipov V, Rajendran S, Miksch S, Archambault D, Arleo A, von Landesberger T. Layers of Doubt: Typology of Temporal Uncertainty in Dynamic Diffusion Networks. In: VIS 2025 Uncertainty Visualization Workshop. 2025, Vienna, Austria. 10.1109/UncertaintyVisualization68947.2025.00012 🏆 Best Paper Honourable Mention at VIS 2025 Uncertainty Workshop
Embarrassingly Agile — Data Visualization Methodology in Emergency Responses
Kozlikova B, Archambault D, Dreesman J, Kerren A, Lucini B, Turkay C. Embarrassingly Agile — Data Visualization Methodology in Emergency Responses. IEEE Computer Graphics and Applications 2025, 45(5), 138-146. 10.1109/MCG.2025.3595342
Financial Forecasting in Consumer Cyclicals with Economic Indicators and Tokenization
Krawczyk K, Tam GKL, Archambault D. Financial Forecasting in Consumer Cyclicals with Economic Indicators and Tokenization. International Journal of Computer Theory and Engineering 2025, 17(4), 179-188.
Are large screens effective at supporting the analysis of delay visualizations?
Almajyul A, Archambault D, Forshaw M. Are large screens effective at supporting the analysis of delay visualizations?. In: 29th International Conference on Information Visualisation (IV ’25). 2025, Darmstadt University of Applied Sciences, Germany: IEEE. 10.1109/IV68685.2025.00015
Methods for Interventions using Networks to Improve Health: a narrative synthesis of methodological research on network data collection, visualisation and intervention
Riddell J, Letina S, Skivington K, Archambault D, Wells V, Long E, Hunter R, McCann M, MINI team. Methods for Interventions using Networks to Improve Health: a narrative synthesis of methodological research on network data collection, visualisation and intervention. Social Networks 2026, 84, 202-219. 10.1016/j.socnet.2025.10.003
Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction
Jeon, H., Lee, H., Kuo, Y.-H., Yang, T., Archambault, D., Ko, S., Fujiwara, T., Ma, K.-L., & Seo, J. (2025). Navigating high-dimensional backstage: A guide for exploring literature for the reliable use of dimensionality reduction. EuroVis 2025 – Short Papers. https://doi.org/10.2312/EVS.20251087
Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction
Jeon, H., Lee, H., Kuo, Y.-H., Yang, T., Archambault, D., Ko, S., Fujiwara, T., Ma, K.-L., & Seo, J. (2025). Unveiling high-dimensional backstage: A survey for reliable visual analytics with dimensionality reduction. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1–24. https://doi.org/10.1145/3706598.3713551
How Do People Perceive Bundling? An Experiment
Wallinger, M., Akbulut, O., Rufai, K. A., Purchase, H. C., & Archambault, D. (2025). How do people perceive bundling? An experiment. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3706598.3713444
On the Importance of Visualisation in a Data Driven Society
Archambault, D. (2025). On the importance of visualisation in a data driven society: Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 7–10. https://doi.org/10.5220/0013445500003912