#Machine Learning

In Machine Learning, artificial systems learn from experience – similar to humans. This technology can be used in various applications in research and practice, for example to analyse medical data or fend off IT attacks.

Projects

IMREA - Intelligent Multimodal Real Estate Assessment

Multimodal information extraction and machine learning techniques for the extraction of real estate related attributes and parameters from heterogeneous input data

Plant Monitoring AI

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

LINK

Analysis and nowcasting of extreme weather events using data from radio links

Publications

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.
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
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
Eresheim, S. (2020). Cybersecurity Containment Agent. Machine Learning Prague 2020.
Koch, D., Despotovic, M., Döller, M., Leiber, S., & Zeppelzauer, M. (2020). Computer Vision in Building Research: An Application for Prediction of Condition and Costs of a Property. Building Research & Information, Submitted.

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