Publikationen: Institut für Creative\Media/Technologies - Institut für Creative\Media/Technologies

Feilacher, D., Lehner, S., Heller, M., Girsule, B., & Jakl, A. (2024, November 27). Robust Dialog Design for Emergency Situations with AI-Based Voice Assistants. Proceedings of the International Conference on Creative\Media/Technologies (IConCMT) 2023 and 2024. IConCMT 2024: International Conference on Creative\Media/Technologies. https://doi.org/10.60522/o:7211

Ganahl, S. (2024). Mapping Austrofascism and Beyond: Report on the Digital Research Lab Campus Medius. Colloquia Humanistica, 13(1), 1–20. https://doi.org/10.11649/ch.3104

Horst, F., Slijepcevic, D., Schöllhorn, W. I., Horsak, B., & Zeppelzauer, M. (2024). Explainable artificial intelligence for walking speed classification from vertical ground reaction forces. Gait & Posture, 113, 215–216. https://doi.org/10.1016/j.gaitpost.2024.07.232

Krondorfer, P., Slijepčević, D., Unglaube, F., Kranzl, A., Zeppelzauer, M., Kainz, H., & Horsak, B. (2024). Predicting knee contact forces in walking: A comparative study of machine learning models including a physics-informed approach. Gait & Posture, 113, 125–126. https://doi.org/10.1016/j.gaitpost.2024.07.140

Litschka, Michael, Saurwein, Florian, & Pellegrini, Tassilo. (2024). Open Data Governance und digitale Plattformen. Ethische, ökonomische und regulatorische Herausforderungen und Perspektiven. Springer VS.

Bibtex

Litschka, M., Paganini, C., & Rademacher, L. (Eds.). (2024). Digitalisierte Massenkommunikation und Verantwortung. Politik, Ökonomik und Ethik von Plattformen (Vol. 22). Nomos.

Bibtex

Nurgazina, J., Taurer, F., Anderluh, A., Killian, S., & Jandl, C. (2024, 28.11). Digital Product Pass Concept for a Soy Supply Chain: Solution Design and Data Usage Perceptions [Abstract, oral presentation]. 6th IConCMT, FH St. Pölten. https://iconcmt.fhstp.ac.at/

Slijepcevic, D., Horst, F., Simak, M. L., Schöllhorn, W. I., Horsak, B., & Zeppelzauer, M. (2024). Decoding Gait Signatures: Exploring Individual Patterns in Pathological Gait using Explainable AI. IEEE Access, 1–1. https://doi.org/10.1109/ACCESS.2024.3513893

Slijepcevic, D., Krondorfer, P., Unglaube, F., Kranzl, A., Zeppelzauer, M., & Horsak, B. (2024). Predicting ground reaction forces in overground walking from gait kinematics using machine learning. Gait & Posture, 113, 214–215. https://doi.org/10.1016/j.gaitpost.2024.07.231

Taurer, F., Girsule, B., Jandl, C., & Rottermanner, G. (2024, February). Requirements for a quality control system for bent sheet metal parts. 4th IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0 / 5.0 (ARCI" 2024), Innsbruck, Austria.

Bibtex

Vasof, A., Bruckner, F., Gürtler, C., Schmid, C., Husinsky, M., Zeller, M., Munk, C., Salhofer, J., Schoiswohl, P., Brullo, R., Nguyen-Thi-Minh, H., & Schmidt, R. (2024). VRinMotion – ExperiMotion 3 [VR – Installation].

Bibtex

Vulpe-Grigorasi, A., Kren, Z., Slijepčević, D., Schmied, R., & Leung, V. (2024). Attention performance classification based on eye tracking and machine learning. Informatics 2024 Proceedings. IEEE International Scientific Conference on Informatics, Poprad Slovakia. https://doi.org/10.1109/Informatics62280.2024.10900810

C. Jandl, T. Moser, & S. Schlund. (2024, September 25). Indicator-based Potential Analysis for Asset Tracking Applications [Article]. 10th International Conference on Sensors Engineering and Electronics Instrumentation Advances (SEIA" 2024), Ibiza (Balearic Islands), Spain. http://dx.doi.org/10.13140/RG.2.2.36670.50243

Altendorfer, K., & Felberbauer, T. (2023). Forecast and production order accuracy for stochastic forecast updates with demand shifting and forecast bias correction. Simulation Modelling Practice and Theory, 125, 102740. https://doi.org/10.1016/j.simpat.2023.102740

Belinskaya, Y. (2023). ‘Insider news’ on Russian Telegram: Resembling truth, proximity and objectivity. Journal of Applied Journalism & Media Studies. https://doi.org/10.1386/ajms_00108_1

Belinskaya, Y. (2023). How the internet is being tamed in Russia: Chronicle of state securitization measures. Journalism Research, 6(1), 71–92. https://doi.org/10.1453/2569-152x-12023-13030-en

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://research.fhstp.ac.at/projekte/anivision

de Jesus Oliveira, V. A., Slijepčević, D., Dumphart, B., Ferstl, S., Reis, J., Raberger, A.-M., Heller, M., Horsak, B., & Iber, M. (2023). Auditory feedback in tele-rehabilitation based on automated gait classification. Personal and Ubiquitous Computing. https://doi.org/10.1007/s00779-023-01723-2

Dumphart, B., Slijepcevic, D., Zeppelzauer, M., Kranzl, A., Unglaube, F., Baca, A., & Horsak, B. (2023). Robust deep learning-based gait event detection across various pathologies. PLOS ONE, 18(8), e0288555. https://doi.org/10.1371/journal.pone.0288555

Dumphart, B., Slijepcevic, D., Kranz, A., Zeppelzauer, M., & Horsak, B. (2023). Is it time to re-think the appropriateness of autocorrelation for gait event detection? Preliminary results of an ongoing study. Gait & Posture, 106, S50–S51. https://doi.org/10.1016/j.gaitpost.2023.07.064