Data Science Chair

    Julian Tritscher, M.Sc.

    Chair of Data Science (Informatik X)
    University of Würzburg
    Am Hubland
    97074 Würzburg

    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.


    • Fundamentals of Algorithms and Data Structures (winter term 2020/21, winter term 2021/22)
    • Data Mining (summer term 2019, summer term 2020)
    • Seminar "Selected Chapters from Machine Learning" (summer term 2019)



    • A financial game with opp... - Download
      Tritscher, J., Krause, A., Schlör, D., Gwinner, F., von Mammen, S., Hotho, A. (2021) “A financial game with opportunities for fraud”, IEE COG 2021, 2021, available: https://ieee-cog.org/2021/assets/papers/paper_273.pdf.


    • Emote-Controlled: Obtaini... - Download
      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.
    • Evaluation of post-hoc XA... - Download
      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.