#Data Science

Data Science allows users to discover, analyse and visualise large amounts of complex data in order to obtain useful information.


Josef Ressel Center for Blockchain-Technologies & Security management

The Josef Ressel Center for Blockchain-Technologies & Security management is a research institution operated by the St. Pölten University of Applied Sciences. The research objective is making secur...

Plant Monitoring AI

Leveraging machine learning and predictive analytics for early detection of plant stress for the benefit of sustainability in farming


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/https://doi.org/10.1016/j.gaitpost.2019.10.021
Horsak, B., Dumphart, B., Slijepcevic, D., & Zeppelzauer, M. (2020). Explainable Artificial Intelligence (XAI) und ihre Anwendung auf Klassifikationsprobleme in der Ganganalyse. In Abstractband des 3. GAMMA Kongress. München, Deutschland.
Koch, D., Despotovic, M., Thaler, S., & Zeppelzauer, M. (2020). Estimating Graduate Density in Satellite Images - A Machine Learning Approach. Elsevier Computers, Environment and Urban Systems, Submitted.
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 (p. 5). Presented at the Eurovis 2020, Norrköping, Sweden.
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(1), 143. https://doi.org/10.1038/s41597-020-0481-z
Eresheim, S. (2020). Reinforcement Learning for Incident Protection in IT. Presented at the First Conference on Mathematics of Data Science (MDS20).
Eresheim, S. (2020). Cybersecurity Containment Agent. Presented at the Machine Learning Prague 2020.
Luh, R., & Schrittwieser, S. (2019). Advanced threat intelligence: detection and classification of anomalous behavior in system processes. E \& i Elektrotechnik Und Informationstechnik, Springer, 1–7.
Pirker, M. (2019, November). More Data - More Security? Invited Talk presented at the TOP Alumni Club, TU Wien.
Pirker, M. (2019, October). Digitale Probleme....für Alle! Presented at the PrivacyWeek, Wien.