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
Category: 2025
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
ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts
Zhu, J., Cheng, X., Luo, Z., Zhou, Y., Shu, X., Weng, D., & Wu, Y. (2025). ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts. Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology, 1–16. https://doi.org/10.1145/3746059.3747689
DataWink: Reusing and Adapting SVG-based Visualization Examples with Large Multimodal Models
Xie, L., Lin, Y., Liu, C., Qu, H., & Shu, X. (2025). DataWink: Reusing and Adapting SVG-based Visualization Examples with Large Multimodal Models. IEEE Transactions on Visualization and Computer Graphics, 1–11. https://doi.org/10.1109/TVCG.2025.3634635
Dichoptic Opacity: Managing Occlusion in Stereoscopic Displays via Dichoptic Presentation
Bell, G., & Cantu, A. (2025). Dichoptic Opacity: Managing Occlusion in Stereoscopic Displays via Dichoptic Presentation. https://doi.org/10.1109/VIS60296.2025.00078
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
Co-creating the visualisation of digital mobility outcomes: Delphi-type process with patients
Lumsdon, J., Wilson, C., Alcock, L., Becker, C., Benvenuti, F., Bonci, T., Van Den Brande, K., Brittain, G., Brown, P., Buckley, E., Caruso, M., Caulfield, B., Cereatti, A., Delgado-Ortiz, L., Del DIn, S., Evers, J., Garcia-Aymerich, J., Gaßner, H., Gur Arieh, T., … Cantu, A. (2025). Co-creating the visualisation of digital mobility outcomes: A Delphi-type process with patients. JMIR Formative Research. https://doi.org/10.2196/68782