Publications
Filtered:
Ordered by year and author
2023
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
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
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
2022
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.
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/gnt2s9
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
2021
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
Bilek, N., Feldhofer, A., & Moser, T. (2021). Virtual Reality Based Mass Disaster Triage Training for Emergency Medical Services. IEEE VR 2021. https://doi.org/10/gjwd3m
Daramola, O., & Moser, T. (Eds.). (2021). Advanced concepts, methods, and applications in semantic computing. Engineering Science Reference.
Dumphart, B., Slijepčević, D., Unglaube, F., Kranzl, A., Baca, A., Zeppelzauer, M., & Horsak, B. (2021). An automated deep learning-based gait event detection algorithm for various pathologies. Gait & Posture, 90, 50–51. https://doi.org/https://doi.org/10.1016/j.gaitpost.2021.09.026
Ebner-Zarl, A. (2021). Die Entgrenzung von Kindheit in der Mediengesellschaft: Kinder zwischen Talentförderung, Leistungsdruck und wirtschaftlichen Interessen. Springer VS. https://www.springer.com/de/book/9783658319700
Horsak, B., Simonlehner, M., Schöffer, L., Dumphart, B., Jalaeefar, A., & Husinsky, M. (2021). Overground walking in a fully immersive Virtual Reality: Preliminary results of a comprehensive study on the effects on walking biomechanics. Gait & Posture, 90, 100–101. https://doi.org/https://doi.org/10.3389/fbioe.2021.780314
Jandl, C., Wagner, M., Moser, T., & Schlund, S. (2021). Reasons and Strategies for Privacy Features in Tracking and Tracing Systems—A Systematic Literature Review. Sensors, 21(13), 4501. https://doi.org/https://doi.org/10.3390/s21134501
Krondorfer, P., Slijepčević, D., Unglaube, F., Kranzl, A., Breiteneder, C., Zeppelzauer, M., & Horsak, B. (2021). Deep learning-based similarity retrieval in clinical 3D gait analysis. Gait & Posture, 90, 127–128. https://doi.org/https://doi.org/10.1016/j.gaitpost.2021.09.066
Jandl, C., Taurer, F., Hartner-Tiefenthaler, M., Wagner, M., Moser, T., & Schlund, S. (2021). Perceptions of Using Tracking and Tracing Systems in Work Environments. In F. F.-H. Nah & K. Siau (Eds.), HCI in Business, Government and Organizations (Vol. 12783, pp. 384–398). Springer International Publishing. https://doi.org/10.1007/978-3-030-77750-0_24