In Machine Learning, artificial systems learn from experience – similar to humans. This technology can be used in various applications in research and practice, for example to analyse medical data or fend off IT attacks.
Explainable and trustworthy AI solution in an easy-to-use platform for SMEs.
EyeQTrack - Quantitative Eye-Tracking Analytics for Adaptive XR Training & Rehabilitation in Healthcare
A self-adaptive eXtended reality environment for training and therapeutic purposes.
Endowed professorship of the province of Lower Austria to strengthen and expand the research focus on motor rehabilitation
Improving imaging techniques that are used to monitor crop production.
Animation in Ephemeral Films from Austria, East & West Germany between 1945 and 1989: A Combined Film Analysis and Computer Vision Approach
deepForce - Pushing the limits of rapid estimation of knee joint contact force estimation in clinical gait analysis by Machine and Deep Learning
Machine learning methods to enable more clinicians to use data obtained by gait analyses for diagnosis.
Horst, F., Hoitz, F., Slijepcevic, D., Schons, N., Beckmann, H., Nigg, B. M., & Schöllhorn, W. I. (2023). Identification of subject-specific responses to footwear during running. Scientific Reports, 13(1), 11284. https://doi.org/10.1038/s41598-023-38090-0
Bruckner, Franziska, Feyersinger, Erwin, & Lechner, Patrik. (2023, June 14). AniVision: Machine Learning as a Tool for Studying Animation in Ephemeral Films [Vortrag]. Society for Animation Studies 34th Annual Conference – The Animated Environment, Online – Glassboro. https://www.sas34.org/
Feyersinger, Erwin. (2023, June 14). Animation Studies and Digital Humanities [Vortrag]. Society for Animation Studies 34th Annual Conference – The Animated Environment, Online – Glassboro. https://www.sas34.org/
Feyersinger, Erwin. (2023, August 6). Projektvorstellung AniVision [Vortrag]. Tools und Plattformen in der Praxis – Workshop der DHd AG Film und Video, Online. https://dhdagfilm.hypotheses.org/
Aigner, W. (2023, May 22). Visualization Literacy & Onboarding. VRVis Forum #176 | Digital Humanism, Vienna, Austria. https://www.vrvis.at/news-events/events/176-digital-humanism
Feyersinger, Erwin. (2023, February 3). AniVision: A Digital Humanities Approach to Researching Archives [Vortrag]. Workshop: Archiving and Canonizing Animation. Animation and Contemporary Media Culture., Dresden.
Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., Breiteneder, C., & Horsak, B. (2023). Towards more transparency: The utility of Grad-CAM in tracing back deep learning based classification decisions in children with cerebral palsy. Gait & Posture, 100, 32–33. https://doi.org/10.1016/j.gaitpost.2022.11.045
Gromann, D., Lardelli, M., Spiel, K., Burtscher, S., Klausner, L. D., Mettinger, A., Miladinovic, I., Schefer-Wenzl, S., Duh, D., & Bühn, K. (2023). Participatory Research as a Path to Community-Informed, Gender-Fair Machine Translation. Proceedings of the First Workshop on Gender-Inclusive Translation Technologies, 49–59. https://aclanthology.org/2023.gitt-1.5/
Stoiber, C., Emrich, Š., & Aigner, W. (2023). Design Guidelines for Visualization Onboarding Concepts in Data Journalism [Vortrag]. STS Conference, Graz. https://stsconf.tugraz.at/
Feyersinger, Erwin. (2022, February 10). Writing the Histories of Animation in the Time of Artificial Intelligence [Vortrag]. StopTrik Festival, Maribor. https://www.stoptrik.com/