K. Angerbauer, N. Rodrigues, R. Cutura, S. Öney, N. Pathmanathan, C. Morariu, D. Weiskopf, and M. Sedlmair. Dataset, (2022)Related to: Katrin Angerbauer, Nils Rodrigues, Rene Cutura, Seyda Öney, Nelusa Pathmanathan, Cristina Morariu, Daniel Weiskopf, and Michael Sedlmair. 2022. Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures. In CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 134, 1-23. doi: 10.1145/3491102.3502133.
D. Garkov, C. Müller, M. Braun, D. Weiskopf, and F. Schreiber. Dataset, (2022)Related to: Garkov, D., Müller, C., Braun, M., Weiskopf, D., Schreiber, F., “Research Data Curation in Visualization : Position Paper”, in 2022 IEEE Workshop on Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), IEEE, 2022. doi: 10.1109/BELIV57783.2022.00011.
D. Hägele, T. Krake, and D. Weiskopf. Dataset, (2022)Related to: D. Hägele, T. Krake and D. Weiskopf, Üncertainty-Aware Multidimensional Scaling," in IEEE Transactions on Visualization and Computer Graphics, 2022. doi: 10.1109/TVCG.2022.3209420.
T. Krake, D. Klötzl, D. Hägele, and D. Weiskopf. Dataset, (2024)Related to: Tim Krake, Daniel Klötzl, David Hägele, and Daniel Weiskopf, Üncertainty-Aware Seasonal-Trend Decomposition Based on Loess", in IEEE Transactions on Visualization and Computer Graphics, 2024. doi: 10.1109/TVCG.2024.3364388.
N. Rodrigues, C. Schulz, S. Döring, D. Baumgartner, T. Krake, and D. Weiskopf. Software, (2022)Related to: Nils Rodrigues, Christoph Schulz, Sören Döring, Daniel Baumgartner, Tim Krake, and Daniel Weiskopf, "Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution," in IEEE Transactions on Visualization and Computer Graphics, vol. 29, no. 1, Jan. 2023, accepted.