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

Killian, S., Baumann, C., Delorette, M., Freisleben- Teutscher, C., Größbacher, S., Huber, A., Husinsky, M., Judmair, P., Moser, T., Pflegerl, J., Schlager, A., Schöffer, L., Taurer, F., & Vogt, G. (2023). MIRACLE - Mixed Reality und Cooperation im Lehreinsatz: Erfahrungen, Potenziale, Limitationen. In Lernen über den Tellerrand hinaus. Good Practices zu Interdisziplinarität, Internationalisierung und Future Skills (pp. 119–126). Lemberger Publishing.

Bibtex

Litschka, M. (2023). Classical Political Economy. In Handbook of Media and Communication Economics. Springer. https://doi.org/10.1007/978-3-658-34048-3_2-2

Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., Breiteneder, C., & Horsak, B. (2023). Explainable Machine Learning in Human Gait Analysis: A Study on Children With Cerebral Palsy. IEEE Access, 11, 65906–65923. https://doi.org/10.1109/ACCESS.2023.3289986

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

Slijepcevic, D., Horst, F., Simak, M., Schöllhorn, W. I., Zeppelzauer, M., & Horsak, B. (2023). Towards personalized gait rehabilitation: How robustly can we identify personal gait signatures with machine learning? Gait & Posture, 106, S192–S193. https://doi.org/10.1016/j.gaitpost.2023.07.232

Vulpe-Grigorasi, A. (2023). Multimodal machine learning for cognitive load based on eye tracking and biosensors. 2023 Symposium on Eye Tracking Research and Applications, 1–3. https://doi.org/10.1145/3588015.3589534

Ganahl, S. (2022). Wie politisch ist die Akteur-Netzwerk-Theorie? Genealogy+Critique, 8(1), 1–7. https://doi.org/10.16995/gc.9681

Ganahl, S. (2022). Campus Medius: Digital Mapping in Cultural and Media Studies. transcript. https://doi.org/10.14361/9783839456019

Ganahl, S., & Prager, K. (Eds.). (2022). Karl Kraus-Handbuch: Leben – Werk – Wirkung. Metzler. https://doi.org/10.1007/978-3-476-05804-1

Ganahl, S. (2022). Campus Medius: Digitales Kartografieren in den Kultur- und Medienwissenschaften. transcript. https://doi.org/10.14361/9783839456002

Kovarova-Simecek, M., & Pellegrini, T. (2022). Instrumente der Analyse in der Investor Relations und Finanzkommunikation. In C. P. Hoffmann, D. Schiereck, & A. Zerfaß (Eds.), Handbuch Investor Relations und Finanzkommunikation (pp. 1–21). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-23389-1_14-1

Horsak, B., Simonlehner, M., Schöffer, L., Dumphart, B., Jalaeefar, A., Husinsky, M., & Siragy, T. (2022). Walking overground in a room-scale Virtual Reality Environment: a motor control perspective. 9th World Congress of Biomechanics, Taipei, Taiwan.

Bibtex

Luh, R., Eresheim, S., Größbacher, S., Petelin, T., Mayr, F., Tavolato, P., & Schrittwieser, S. (2022). PenQuest Reloaded: A Digital Cyber Defense Game for Technical Education. 2022 IEEE Global Engineering Education Conference (EDUCON), 906–914. https://doi.org/10.1109/EDUCON52537.2022.9766700

Nurgazina, J., Felberbauer, T., Asprion, B., & Pinnamaraju, P. (2022). Visualization and clustering for rolling forecast quality verification: A case study in the automotive industry. Procedia Computer Science, 200, 1048–1057. https://doi.org/https://doi.org/10.1016/j.procs.2022.01.304

Rind, A., Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., & Horsak, B. (2022). Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy. Proc. 2022 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX), 7–15. https://doi.org/10.1109/TREX57753.2022.00006

Slijepcevic, D., Horst, F., Lapuschkin, S., Horsak, B., Raberger, A.-M., Kranzl, A., Samek, W., Breitender, C., Schöllhorn, W., & Zeppelzauer, M. (2022). Explaining Machine Learning Models for Clinical Gait Analysis. ACM Transactions on Computing for Healthcare, 3(2), 14:1-14:27. https://doi.org/10.1145/3474121

Slijepcevic, D., Horst, F., Simak, M., Lapuschkin, S., Raberger, A. M., Samek, W., Breiteneder, C., Schöllhorn, W. I., Zeppelzauer, M., & Horsak, B. (2022). Explaining machine learning models for age classification in human gait analysis. Gait & Posture, 97, S252–S253. https://doi.org/10.1016/j.gaitpost.2022.07.153

Seiringer, W., Brockmann, F., Altendorfer, K., & Felberbauer, T. (2022). Influence of Forecast Error and Forecast Bias on Safety Stock on a MRP System with Rolling Horizon Forecast Updates. In N. Trautmann & M. Gnägi (Eds.), Operations Research Proceedings 2021 (pp. 421–426). Springer International Publishing. https://doi.org/10.1007/978-3-031-08623-6_62

Zulkarnain, A. H. B., Totorean, A., Gere, A., Cruz, E., Horsak, B., Lancere, L., Schöffer, L., Simonlehner, M., Crișan-Vida, M., Fernandes, R., & Sterckx, Y. (2022). Development of a social inclusive immersive virtual reality exergame to promote physical activity. Book of Proceedings FOODCONF. Fourth International Conference on Food Science and Technology, Budapest, Hungary. http://www.foodconf.hu/poster/P4000/68.pdf

Bernard, Jürgen, Hutter, M., Sedlmair, M., Zeppelzauer, Matthias, & Munzner, Tamara. (2021). A Taxonomy of Property Measures to Unify Active Learning and Human-centered Approaches to Data Labeling. ACM Transactions on Interactive Intelligent Systems (TiiS), 11(3–4), 1–42. https://doi.org/10/gnt2wf