Julian Tritscher, M.Sc.

Chair of Data Science (Informatik X)
University of Würzburg
Am Hubland
97074 Würzburg
Germany
Email: tritscher@informatik.uni-wuerzburg.de
Phone: (+49 931) 31 - 84467
Office: Room B109 (Computer Science Building M2)
Projects and Research Interests
Explainable Artificial Intelligence - Anomaly Detection - Machine Learning
I am part of the DMIR research group since I recieved my Master's Degree in Computer Science from the University of Würzburg in early 2019. As part of the BMBF founded research program DeepScan, I am investigating the explainable detection of anomalous and fraudulent behavior in ERP (Enterprise Resource Planning) systems.
Teaching
Publications
2020
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Kobs, K., Zehe, A., Bernstetter, A., Chibane, J., Pfister, J., Tritscher, J., Hotho, A. (2020) “Emote-Controlled: Obtaining Implicit Viewer Feedback through Emote based Sentiment Analysis on Comments of Popular Twitch.tv Channels”, ACM Transactions on Social Computing.
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Tritscher, J., Ring, M., Schlör, D., Hettinger, L., Hotho, A. (2020) “Evaluation of post-hoc XAI approaches through synthetic tabular data”, International Symposium on Methodologies for Intelligent Systems.