information visualization

M. Tuscher, Filipov, V., Kamencek, T., Rosenberg, R., and Miksch, S., “Mapping the Avantgarde: Visualizing Modern Artists' Exhibition Activity”, in EuroVis 2024 - Short Papers, 2024.
V. Filipov, Schetinger, V., Raminger, K., Soursos, N., Zapke, S., and Miksch, S., “Gone full circle: A radial approach to visualize event-based networks in digital humanities”, Visual Informatics, vol. 5, no. 1, pp. 45-60, 2021.
M. Bögl, “Visual Analysis of Periodic Time Series Data - Supporting Model Selection, Prediction, Imputation, and Outlier Detection Using Visual Analytics”, TU Wien, 2020.
D. Ceneda, “Guidance-Enriched Visual Analytics”, Vienna University of Technology, Vienna, 2020.
D. Ceneda et al., “Guide Me in Analysis: A Framework for Guidance Designers”, Computer Graphics Forum, vol. 39, no. 6, p. 19, 2020.
V. Filipov, Arleo, A., Federico, P., and Miksch, S., “CV3: Visual Exploration, Assessment, and Comparison of CVs”, Computer Graphics Forum, vol. 38, no. 3, p. 11, 2019.
N. Andrienko et al., “Viewing Visual Analytics as Model Building”, Computer Graphics Forum, vol. 37, no. 1, pp. 275–299, 2018.
R. A. Leite, Gschwandtner, T., Miksch, S., Gstrein, E., and Kuntner, J., “Network Analysis for Financial Fraud Detection”, in EuroVis 2018 - Posters, 2018.
F. Windhager et al., “Visualization of Cultural Heritage Collection Data: State of the Art and Future Challenges”, IEEE Transactions on Visualization and Computer Graphics, vol. 25, no. 6, p. 20, 2018.
T. Gschwandtner, Bögl, M., Federico, P., and Miksch, S., “Visual Encodings of Temporal Uncertainty: A Comparative User Study”, IEEE Transactions on Visualization and Computer Graphics, vol. 22, no. 1, pp. 539 - 548, 2016.