#Visualization

Visualization covers the recognition of patterns, structures and connections between data and renders complex information more easily understandable through visual representation.

Projects

Data Science Bootcamp

Training experts from within companies to become Data Scientists who are able to the best use of artificial intelligence methods

InnoFIT - novel forecasting tools

Improvement of forecasting processes and planning quality with the use of information technologies to increase the competitiveness of Austrian companies in the global market.

MEETeuX

Multi-Device Ecologies Towards Elaborate User Experience discusses issues of relevance regarding interaction design and user experience design and aims at an integrated use of media technology devices...

VisOnFire. Understanding and visualizing workflows

Visual Analysis of Large and Heterogeneous Scientific Workflows for Analytical Provenance. - A new visual forensic tool realizes the visualisation of data analysis workflows and helps to increase the ...

Publications

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., 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
Blumenstein, K., Oliveira, V. A. D. J., Größbacher, S., Boucher, M., Seidl, M., & Aigner, W. (2019). Design of Time-Oriented Visualization for Mobile Applications in Museums: A Comparative Evaluation. In Adjunct Proceedings CHItaly19 (pp. 39–43). Padova, Italy.
Blumenstein, K. (2019). Interweaving Physical Artifacts with Visualization on Digital Media in Museums. In Adjunct Proceedings CHItaly19 (pp. 26–28). Padova, Italy.
Horsak, B., Schwab, C., & Kranzl, A. (2019). Reliability of stair walking kinematics in young overweight and obese individuals. Poster presented at the 28th Annual Meeting of the European Society for Movement Analysis in Adults and Children (ESMAC), Amsterdam, Netherlands.
Stoiber, C., Rind, A., Grassinger, F., Gutounig, R., Goldgruber, E., Sedlmair, M., … Aigner, W. (2019). netflower: Dynamic Network Visualization for Data Journalists. Computer Graphics Forum (EuroVis "19), 38. https://doi.org/10.1111/cgf.13721
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

News