#Computer Vision
Computer Vision befasst sich damit, digitale visuelle Inhalte wie Bilder oder Videos automatisch zu erkennen, zu verarbeiten und zu verstehen.
Publikationen
Horst, F., Slijepcevic, D., Lapuschkin, S., Raberger, A.-M., Zeppelzauer, M., Samek, W., … Horsak, B. (2020). On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence. Frontiers in Bioengineering and Biotechnology, Submitted.
Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Breitender, C., Horsak, B., & Horsak, Brian. (2020). Input Representations and Classification Strategies for Automated Human Gait Analysis. Gait & Posture, 76, 198–203.
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.
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.
Koch, D., Despotovic, M., Sascha, L., Sakeena, M., Döller, M., & Zeppelzauer, M. (2019). Real Estate Image Analysis - A Literature Review. Real Estate Economics Journal, to Appear, 27(2), 269–300.
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.
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
Despotovic, M., Koch, D., Leiber, S., Döller, M., Sakeena, M., & Zeppelzauer, M. (2019). Prediction and analysis of heating energy demand for detached houses by computer vision. Energy & Buildings, 193, 29–35. https://doi.org/10.1016/j.enbuild.2019.03.036