#Visualization
Visualization befasst sich mit der Erkennung von Mustern, Strukturen und Verbindungen in Daten und macht komplexe Informationen durch visuelle Darstellung leichter verständlich.
Publikationen
Horsak, B., Dumphart, B., Slijepcevic, D., & Zeppelzauer, M. (2020). Explainable Artificial Intelligence (XAI) und ihre Anwendung auf Klassifikationsprobleme in der Ganganalyse. In Abstractband des 3. GAMMA Kongress. München, Deutschland.
Rottermanner, G., Oliveira, V. A. D. J., Kreiger, M., Graf, P., Rokitansky, C.-H., Eschbacher, K., … Wagner, M. (2020). Design and Evaluation of a Tool to Support Air Traffic Control with 2D and 3D Visualizations. Presented at the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Atlanta, USA: IEEE Computer Society. https://doi.org/https://doi.org/10.1109/VR46266.2020.1581157597980
Slijepcevic, D., Zeppelzauer, M., Schwab, Caterine, Raberger, A.-M., Breitender, C., & Horsak, B. (2020). Input Representations and Classification Strategies for Automated Human Gait Analysis. Gait & Posture, 76, 198–203. https://doi.org/https://doi.org/10.1016/j.gaitpost.2019.10.021
Horsak, B. (2019). Reliabilität von Messergebnissen in der Gang- und Bewegungsanalyse – Erfahrungsbericht zu gängigen Maßzahlen. Invited talk presented at the GAMMA Workshop im Rahmen des 11. Kongress der Deutschen Gesellschaft für Biomechanik, Berlin.
Gäbler, J., Winkler, C., Lengyel, N., Wallner, G., Aigner, W., Stoiber, C., & Kriglstein, S. (2019). Diagram Safari: A Visualization Literacy Game for Young Children. In Proceedings of CHI PLAY 2019. Barcelona, Spain: ACM Press.
Rottermanner, G., Settgast, V., Judmaier, P., Eschbacher, K., & Rokitansky, C.-H. (2019). VAST: A High-Fidelity Prototype for Future Air Traffic Control Scenarios. In Proceedings of the 17th European Conference on Computer-Supported Cooperative Work - Demos and Posters (Vol. Reports of the European Society for Socially Embedded Technologies: vol. 3, no. 2). Salzburg, Austria: European Society for Socially Embedded Technologies (EUSSET).
Dahnert, M., Rind, A., Aigner, W., & Kehrer, J. (2019). Looking beyond the horizon: Evaluation of four compact visualization techniques for time series in a spatial context. ArXiv:1906.07377 [Cs].
Zeiml, S., Altendorfer, K., Felberbauer, T., & Nurgazina, J. (2019). Simulation Based Forecast Data Generation and Evaluation of Forecast Error Measures. In Proceedings of the 2019 Winter Simulation Conference. National Harbor, Maryland, USA.
Nurgazina, J., Felberbauer, T., Altendorfer, K., & Zeiml, S. (2019). Visualization and Analysis of Customer Provided Forecasts. In M. Putz & A. Schlegel (Eds.), Simulation in Produktion und Logistik 2019 (pp. 445–454). Auerbach: Verlag Wissenschaftliche Scripten.
Rind, A., Wagner, M., & Aigner, W. (2019). Towards a Structural Framework for Explicit Domain Knowledge in Visual Analytics. In Proc. IEEE Workshop on Visual Analytics in Healthcare (VAHC) (pp. 33–40). https://doi.org/10.1109/VAHC47919.2019.8945032