#Machine Learning
Durch Machine Learning lernen künstliche Systeme – ähnlich wie Menschen – aus Erfahrung. Das lässt sich in Forschung und Praxis zu verschiedensten Anwendungen einsetzen – zum Beispiel zur Analyse medizinischer Daten oder zur Abwehr von IT-Angriffen.
Publikationen
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
Erwin, F. (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/
Franziska, B., Erwin, F., & Patrik, L. (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/
Erwin, F. (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
Erwin, F. (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/
Erwin, F. (2022, February 10). Writing the Histories of Animation in the Time of Artificial Intelligence [Vortrag]. StopTrik Festival, Maribor. https://www.stoptrik.com/