C. Schulz, A. Nocaj, J. Goertler, O. Deussen, U. Brandes, and D. Weiskopf. IEEE Visual Analytics Science & Technology Conference, IEEE Information Visualization Conference, and IEEE Scientifc Visualization Conference : proceedings 2016, 23, 1, page 531-540. New York, NY, IEEE Computer Society, (2017)
A. Wortmeier, A. Calepso, C. Kropp, M. Sedlmair, and D. Weiskopf. Dataset, (2022)Related to: Wortmeier, A.-K., Calepso, A. S., Kropp, C., Sedlmair, M. & Weiskopf, D. (2023). Configuring augmented reality users: analysing YouTube commercials to understand industry expectations. Behaviour & Information Technology, 43(2), 371-386. doi: 10.1080/0144929X.2022.2163693.
N. Pathmanathan, S. Öney, M. Becher, M. Sedlmair, D. Weiskopf, and K. Kurzhals. Software, (2023)Related to: Pathmanathan, N., Öney, S., Becher, M., Sedlmair, M., Weiskopf, D. and Kurzhals, K. (2023), Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments. Computer Graphics Forum, 42: 385-396. doi: 10.1111/cgf.14838.
J. Görtler, T. Spinner, D. Weiskopf, and O. Deussen. Software, (2022)Related to: J. Görtler, T. Spinner, D. Streeb, D. Weiskopf and O. Deussen, Üncertainty-Aware Principal Component Analysis," in IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 1, pp. 822-831, Jan. 2020. doi: 10.1109/TVCG.2019.2934812.
J. Yan, N. Rodrigues, L. Shao, T. Schreck, and D. Weiskopf. Software, (2022)Related to: Nils Rodrigues, Lin Shao, Jia Jun Yan, Tobias Schreck, and Daniel Weiskopf. 2022. Eye Gaze on Scatterplot: Concept and First Results of Recommendations for Exploration of SPLOMs Using Implicit Data Selection. In 2022 Symposium on Eye Tracking Research and Applications (ETRA '22). Association for Computing Machinery, New York, NY, USA, Article 59, 1-7. doi: 10.1145/3517031.3531165.
A. Colley, P. Wozniak, F. Kiss, and J. Hakkila. Proceedings of the 10th Nordic Conference on Human-Computer Interaction (NORDICHI'18), page 39-46. New York, ACM, (2018)
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.
T. Munz-Körner, S. Künzel, and D. Weiskopf. Dataset, (2023)Related to: T. Munz-Körner, S. Künzel, and D. Weiskopf. "Visual-Explainable AI: The Use Case of Language Models". International Conference on Data-Integrated Simulation Science (SimTech2023). 2023.
S. Vriend, S. Vidyapu, A. Rama, K. Chen, and D. Weiskopf. Software, (2023)Related to: Sandeep Vidyapu, Sita A. Vriend, Amer Rama, Kun-Ting Chen, Daniel, Weiskopf. 2023. Which Experimental Design is Better Suited for VQA Tasks? - Eye TrackingStudy on Cognitive Load, Performance, and Gaze Allocations.
T. Munz, N. Schäfer, T. Blascheck, K. Kurzhals, E. Zhang, and D. Weiskopf. Software, (2020)Related to: T. Munz, N. Schäfer, T. Blascheck, K. Kurzhals, E. Zhang, and D. Weiskopf. "Comparative Visual Gaze Analysis for Virtual Board Games". Proceedings of the 13th International Symposium on Visual Information Communication and Interaction (VINCI 2020). 2020. DOI: 10.1145/3430036.3430038.
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.
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. 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.
D. Hägele, M. Abdelaal, O. Oguz, M. Toussaint, and D. Weiskopf. Software, (2020)Related to: Hägele, David, et al. "Visualization of Nonlinear Programming for Robot Motion Planning." Proceedings of the 13th International Symposium on Visual Information Communication and Interaction, Association for Computing Machinery, 2020. doi: 10.1145/3430036.3430050.
M. Abdelaal, N. Schiele, K. Angerbauer, K. Kurzhals, M. Sedlmair, and D. Weiskopf. Software, (2022)Related to: M. Abdelaal, N. D. Schiele, K. Angerbauer, K. Kurzhals, M. Sedlmair and D. Weiskopf, "Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations," in IEEE Transactions on Visualization and Computer Graphics, 2022. doi: 10.1109/TVCG.2022.3209427.
C. Vehlow, F. Beck, and D. Weiskopf. Eurographics Conference on Visualization (EuroVis) : STARs - State of The Art Reports, page 21-40. Geneve, The Eurographics Association, (2015)
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.
M. Hlawatsch, M. Burch, and D. Weiskopf. Information visualisation: computer graphics, imaging and visualisation : biomedical visualization, visualisation in built and rural environments & geometric modelling and imaging : IV 2015, page 107-113. Piscataway, NJ, IEEE, (2015)
M. Burch, J. Strotzer, and D. Weiskopf. Information visualisation: computer graphics, imaging and visualisation : biomedical visualization, visualisation in built and rural environments & geometric modelling and imaging : IV 2015, page 21-27. Piscataway, NJ, IEEE, (2015)
N. Schäfer, P. Tilli, T. Munz-Körner, S. Künzel, S. Vidyapu, N. Vu, and D. Weiskopf. Software, (2023)Related to: N. Schäfer, S. Künzel, T. Munz, P. Tilli, N. T. Vu, and D. Weiskopf. Visual Analysis of Scene-Graph-Based Visual Question Answering. Proceedings of the 16th International Symposium on Visual Information Communication and Interaction (VINCI 2023). 2023.
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.
K. Kurzhals, M. Hlawatsch, C. Seeger, and D. Weiskopf. IEEE Visual Analytics Science & Technology Conference, IEEE Information Visualization Conference, and IEEE Scientifc Visualization Conference : proceedings 2016, 23, 1, page 301-310. New York, NY, IEEE Computer Society, (2017)
T. Munz, R. Garcia, and D. Weiskopf. Software, (2021)Related to: R. Garcia, T. Munz, and D. Weiskopf. "Visual Analytics Tool for the Interpretation of Hidden States in Recurrent Neural Networks". Visual Computing for Industry, Biomedicine, and Art (VCIBA). 2021. doi: 10.1186/s42492-021-00090-0.