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2022
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
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
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
Slijepčević, D., Henzl, M., Klausner, L. D., Dam, T., Kieseberg, P., & Zeppelzauer, M. (2021). k‑Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers. Computers & Security, 111, 19. https://doi.org/10/gnt2wd
Zielinski, B., Lipinski, M., Juda, M., Zeppelzauer, Matthias, & Dlotko, Pawel. (2021). Persistence Codebooks for Topological Data Analysis. Journal of Artificial Intelligence Review, 54, 1969–2009. https://doi.org/https://doi.org/10.1007/s10462-020-09897-4
2020
Ebner-Zarl, A. (2020). Trading Books. Internationale Buchmärkte und Buchmessen im Überblick. Nomos.
Felberbauer, T., Altendorfer, K., & Peirleitner, A. J. (2020). Effect of load bundling on supply Chain inventory management: An evaluation with simulation-based optimisation. Journal of Simulation, 0(0), 1–12. https://doi.org/10/gh38bv
Horsak, B., Simonlehner, M., Schöffer, L., Maureder, J., Schwab, C., Raberger, A. M., Zeller, M., & Husinsky, M. (2020). Applicability and usability of an immersive virtual reality-based balance control exergame for prosthetic users: A pilot study with healthy individuals. Gait & Posture. ESMAC 29th Annual Meeting, Virtual Meeting. https://doi.org/10/gnkdht
Horsak, B., Slijepcevic, D., Raberger, A.-M., Schwab, C., Worisch, M., & Zeppelzauer, M. (2020). GaitRec, a large-scale ground reaction force dataset of healthy and impaired gait. Scientific Data, 7:143(1), 1–8. https://doi.org/10/gh372d
Horsak, B., Dumphart, B., Slijepcevic, D., & Zeppelzauer, M. (2020). Explainable Artificial Intelligence (XAI) und ihre Anwendung auf Klassifikationsprobleme in der Ganganalyse. Abstractband Des 3. GAMMA Kongress. 3. GAMMA Kongress, München, Deutschland.
Horst, F., Slijepcevic, D., Zeppelzauer, M., Raberger, A. M., Lapuschkin, S., Samek, W., Schöllhorn, W. I., Breiteneder, C., & Horsak, B. (2020). Explaining automated gender classification of human gait. Gait & Posture, 81, supplement 1, 159–160. https://doi.org/10/ghr9k6
Iber, M., Lechner, P., Jandl, C., Mader, M., & Reichmann, M. (2020). Auditory augmented process monitoring for cyber physical production systems. Personal and Ubiquitous Computing. https://doi.org/10/ghz24q