#Data Science
Mit Data Science lassen sich brauchbare Informationen in großen Mengen komplexer Daten entdecken, analysieren und visualisieren.
Publikationen
Rottermanner, G., Graf, P., Judmaier, P., & Michelberger, F. (2021). Prototypische Entwicklung & Evaluation einer Plattform zur Buchung von Frachtschiffreisen. 14. Forschungsforum 2021, Wien. http://ffhoarep.fh-ooe.at/handle/123456789/1395
Schacht, B., & Kieseberg, P. (2020). An Analysis of 5 Million OpenPGP Keys. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), 11(3), 107–140. http://isyou.info/jowua/papers/jowua-v11n3-6.pdf
Oliveira, V. A. D. J., Stoiber, C., Grüblbauer, J., Musik, C., Ringot, A., & Gebesmair, A. (2020). SAMBAVis: Design Study of a Visual Analytics Tool for the Music Industry Powered by YouTube Comments. Eurovis 2020, Norrköping, Sweden.
Nurgazina, J., Felberbauer, T., Moser, T., & Reiner, G. (2020). Distributed ledger technology applications for improved traceability of food supply chains. The EurOMA 2020 Conference Proceedings. 27th EurOMA Conference, Warwick, UK. https://euroma2020.exordo.com/files/papers/292/final_draft/EurOMA2020_DLT_applications_full_paper.pdf
Slijepcevic, D., Zeppelzauer, M., Schwab, Caterine, Raberger, A.-M., Breitender, C., & Horsak, B. (2020). Input Representations and Classification Strategies for Automated Human Gait Analysis. Gait & Posture, 76, 198–203. https://doi.org/10/ghz24x
Horsak, B., Schwab, C., Leboeuf, F., & Kranzl, A. (2020). Reliability of walking and stair climbing kinematics in a young obese population using a standard kinematic and the CGM2 model. Gait & Posture, 83(96–99). https://doi.org/10.1016/j.gaitpost.2020.10.017
Bernard, Jürgen, Hutter, M., Sedlmair, M., Zeppelzauer, Matthias, & Munzner, Tamara. (2020). A Taxonomy of Property Measures to Unify Active Learning and Human-Centered Approaches To Data Labeling. ACM Transactions on Interactive Intelligent Systems (TiiS), to appear.
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/10.1016/j.gaitpost.2020.07.113
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, 159–160. https://doi.org/10.1016/j.gaitpost.2020.07.114