#Data Science

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

Projects

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...

Institute of IT Security Research

SoniVis - Data Analytics using Sonification and Visualization

Working towards a unified framework for joint audio &visual analytics

Dataskop-Sensor-Based Data Economy in Lower Austria

Plant Monitoring AI

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

Scribe ID AI

Active Machine Learning for automatic identification of handwriting in 12th century manuscripts

DataVisBlock

Data Analysis and Visualization for Blockchain-based Supply Chain Management

VisOn-Visualisation Onboarding

Supporting users in understanding visual representations

Digital Makers Hub

Platform for digital makers, for interaction, efficient sharing of knowledge & experiences and nationwide coordination of activities

DIHOST - Digital Innovation Hub Lower Austria/Vienna/Burgenland

Comprehensive service programme to increase the transformation capacity and transformation speed of SMEs in Eastern Austria with regard to digital innovations

IntelliGait 3D- Gait Data Mining

Establishing advanced analysis methods for modelling, classification and similarity retrieval of gait patterns to enable novel data-driven ways to access 3D gait databases

Publications

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

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.

Bibtex

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. 5.

Bibtex

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

Bibtex

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. ESMAC 29th Annual Meeting, Virtual Meeting. https://doi.org/10.1016/j.gaitpost.2020.07.114

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

Bibtex

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.

Bibtex

Eresheim, S. (2020). Reinforcement Learning for Incident Protection in IT. First Conference on Mathematics of Data Science (MDS20).

Bibtex

Eresheim, S. (2020). Cybersecurity Containment Agent. Machine Learning Prague 2020.

Bibtex

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.