R. Netzel, N. Rodrigues, A. Haug, and D. Weiskopf. Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 3 : IVAPP, page 48-57. Setúbal, SciTePress, (2019)
N. Schäfer, S. Künzel, P. Tilli, T. Munz-Körner, S. Vidyapu, N. Vu, and D. Weiskopf. Software, (2025)Related to: Künzel, S., Munz-Körner, T., Tilli, P. et al. Visual explainable artificial intelligence for graph-based visual question answering and scene graph curation. Vis. Comput. Ind. Biomed. Art 8, 9 (2025). doi: 10.1186/s42492-025-00185-y.
P. Gralka, C. Müller, S. Geringer, G. Reina, and D. Weiskopf. Dataset, (2025)Related to: Patrick Gralka, Christoph Müller, Sergej Geringer, Guido Reina, and Daniel Weiskopf. 2025. Quantifying Energy Reduction of Foveated Volume Visualization. In 2025 Symposium on Eye Tracking Research and Applications (ETRA ’25). ACM, New York, NY, USA, 7 pages. doi: 10.1145/3715669.3725881.
M. Becher, M. Heinemann, T. Marmann, G. Reina, D. Weiskopf, and T. Ertl. VINCI '22 : Proceedings of the 15th International Symposium on Visual Information Communication and Interaction, page 8. New York, Association for Computing Machinery, (2022)
F. Huth, M. Koch, M. Awad-Mohammed, D. Weiskopf, and K. Kurzhals. ETRA '24 : Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, page 80. New York, Association for Computing Machinery, (2024)
D. Klötzl, M. Ibach, B. Weigand, and D. Weiskopf. Proceedings of the DIPSI Workshop 2023 : Droplet Impact Phenomena & Spray Investigations, page 15-17. Bergamo, Università Degli Studi Di Bergamo, (2023)
L. Reichmann, D. Hägele, and D. Weiskopf. Software, (2024)Related to: L. Reichmann, D. Hägele, D. Weiskopf, "Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions" in arXiv preprint, 2024. arXiv: 2408.04129.
S. Öney, M. Abdelaal, K. Kurzhals, P. Betz, C. Kropp, and D. Weiskopf. Dataset, (2024)Related to: S. Öney, M. Abdelaal, K. Kurzhals, P. Betz, C. Kropp and D. Weiskopf. "Testing the Test: Observations When Assessing Visualization Literacy of Domain Experts." IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV). pp. 106-114. 2024. doi: 10.1109/BELIV64461.2024.00017.
P. Gralka, C. Müller, M. Heinemann, G. Reina, D. Weiskopf, and T. Ertl. Dataset, (2024)Related to: P. Gralka, C. Müller, M. Heinemann, G. Reina, D. Weiskopf & T. Ertl; Power Overwhelming: The One With the Oscilloscopes. Journal of Visualization (2024). doi: 10.1007/s12650-024-01001-0.
M. Abdelaal, M. Galuschka, M. Zorn, F. Kannenberg, A. Menges, T. Wortmann, D. Weiskopf, and K. Kurzhals. Software, (2024)Related to: Abdelaal, M., Galuschka, M., Zorn, M., Kannenberg F., Menges A., Wortmann T., Weiskopf D. & Kurzhals K. Visual analysis of fitness landscapes in architectural design optimization. The Visual Computer (2024). doi: doi.org/10.1007/s00371-024-03491-3.
M. Abdelaal, F. Kannenberg, A. Lhuillier, M. Hlawatsch, A. Menges, and D. Weiskopf. Software, (2024)Related to: Abdelaal, M., Kannenberg, F., Lhuillier, A., Hlawatsch, M., Menges, A., & Weiskopf, D. (2024). STEP: Sequence of time-aligned edge plots. Information Visualization, 23(4), 328-346. doi: 10.1177/14738716241265111.
T. Munz-Körner, and D. Weiskopf. Software, (2024)Related to: T. Munz-Körner, D. Weiskopf, Exploring visual quality of multidimensional time series projections, Visual Informatics (2024). doi: 10.1016/j.visinf.2024.04.004.
T. Munz-Körner, and D. Weiskopf. Dataset, (2024)Related to: T. Munz-Körner, D. Weiskopf, Exploring visual quality of multidimensional time series projections, Visual Informatics (2024). doi: 10.1016/j.visinf.2024.04.004.
M. Koch, N. Pathmanathan, D. Weiskopf, and K. Kurzhals. Dataset, (2024)Related to: Maurice Koch, Nelusa Pathmanathan, Daniel Weiskopf, and Kuno Kurzhals.2024. How Deep Is Your Gaze? Leveraging Distance in Image-Based GazeAnalysis. In 2024 Symposium on Eye Tracking Research and Applications(ETRA ’24), June 04–07, 2024, Glasgow, United Kingdom. ACM, New York,NY, USA, 7 pages. doi: 10.1145/3649902.3653349.
T. Krake, D. Klötzl, D. Hägele, and D. Weiskopf. Dataset, (2024)Related to: Tim Krake, Daniel Klötzl, David Hägele, and Daniel Weiskopf, "Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess", in IEEE Transactions on Visualization and Computer Graphics, 2024. doi: 10.1109/TVCG.2024.3364388.
Y. Wang, M. Koch, M. Bace, D. Weiskopf, and A. Bulling. ETRA '22 : 2022 Symposium on Eye Tracking Research and Applications, page 60. New York, Association for Computing Machinery, (2022)
N. Rodrigues, L. Shao, J. Yan, T. Schreck, and D. Weiskopf. ETRA '22 : 2022 Symposium on Eye Tracking Research and Applications, page 59. New York, Association for Computing Machinery, (2022)
N. Rodrigues, F. Dennig, V. Brandt, D. Keim, and D. Weiskopf. Software, (2024)Related to: Rodrigues, N., Dennig, F. L., Brandt, V., Keim, D. A., & Weiskopf, D. (2024). Comparative Evaluation of Animated Scatter Plot Transitions. arXiv preprint. arXiv: 2401.04692.
