#Data Science

Data Science allows users to discover, analyse and visualise large amounts of complex data in order to obtain useful information.

Projects

Publications

Rind, A., Enge, K., & Iber, M. (2023, September 29). SoniVis: Datenanalyse mit Augen und Ohren [Demo & Poster]. European Researchers" Night 2023, Graz.
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
Groß-Vogt, K., Enge, K., & Zmölnig, J. (2023). Reflecting on qualitative and quantitative data to frame criteria for effective sonification design. AM "23: Proceedings of the 18th International Audio Mostly Conference, 8. https://doi.org/10.1145/3616195.3616233
Iber, M., Enge, K., Rind, A., Höldrich, R., Rönnberg, N., Bruce, W., & Aigner, W. (2023). Audio-Visual Analytics Community: Bringing Senses to Mind | Panel Discussion at ICAD 2023. 2.
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

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