#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.


ImmBild - Location Assessment by Computer Vision

Location is key – especially when it comes to real estate value. “ImmBild” aims at developing a new method for estimating property value using computer vision of satellite data.


Luh, R. (2019). Advanced Threat Intelligence: Interpretation of Anomalous Behavior in Ubiquitous Kernel Processes (Dissertation). De Monfort University Leicester.
Despotovic, M., Koch, D., Leiber, S., Döller, M., Sakeena, M., & Zeppelzauer, M. (2019). Prediction and analysis of heating energy demand for detached houses by computer vision. Energy & Buildings, 193, 29–35. https://doi.org/10.1016/j.enbuild.2019.03.036
Seidl, Markus, & Zeppelzauer, Matthias. (2019). Towards Distinction of Rock Art Pecking Styles with a Hybrid 2D/3D Approach. In Proceedings of the International Conference on Content-based Multimedia Indexing (CBMI) (p. 4). Dublin, Irland.
Koch, D., Despotovic, M., Leiber, S., Döller, M., & Zeppelzauer, Matthias. (2019). Assessment of Residential Location Quality by Deep Learning and Satellite Image Analysis. Journal of Urban Economics, Submitted.
Koch, D., Despotovic, M., Döller, M., Sakeena, M., & Zeppelzauer, M. (2019). Predicting Condition and Costs of a Property by Computer Vision. Building and Environment, Submitted.
Horsak, B. (2019). Reliabilität von Messergebnissen in der Gang- und Bewegungsanalyse – Erfahrungsbericht zu gängigen Maßzahlen. Invited talk presented at the GAMMA Workshop im Rahmen des 11. Kongress der Deutschen Gesellschaft für Biomechanik, Berlin.
Dahnert, M., Rind, A., Aigner, W., & Kehrer, J. (2019). Looking beyond the horizon: Evaluation of four compact visualization techniques for time series in a spatial context. ArXiv:1906.07377 [Cs].
Stoiber, C., Rind, A., Grassinger, F., Gutounig, R., Goldgruber, E., Sedlmair, M., … Aigner, W. (2019). netflower: Dynamic Network Visualization for Data Journalists. Computer Graphics Forum (EuroVis "19), 38(3). https://doi.org/10.1111/cgf.13721
Koch, D., Despotovic, M., Sascha, L., Sakeena, M., Döller, M., & Zeppelzauer, M. (2019). Real Estate Image Analysis - A Literature Review. Real Estate Economics Journal, to Appear, 27(2), 269–300.
Horst, F., Slijepcevic, D., Lapuschkin, S., Raberger, A.-M., Zeppelzauer, M., Samek, W., … Horsak, B. (2019). Preprint: On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence. Frontiers in Bioengineering and Biotechnology, Submitted.