Data Science Chair

    Padraig Davidson, M.Sc.

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

    Email: davidson <at> informatik.uni-wuerzburg.de

    Phone: (+49 931)  31-89114

    Office: Room B108 (Computer Science Building M2)

    Projects and Research Interests

    I received my 1. State Examination for the teaching profession at grammar schools (Computer Science and Physics) in 2016. Afterwards I graduated in 2018 with my Master's Degree in Computer Sciences. In May 2018 I started my PhD in machine learning at the Data Mining and Information Retrieval Group.

    I'm currently working on the applications of machine learning in the we4bee project.


    Summer Term 2018:

    • Interactive Artificial Intelligence

    Winter Term 2018/19:

    Summer Term 2019:

    Summer Term 2020:

    Winter Term 2020/21:

    Summer Term 2021:

    Winter Term 2021/22:

    Winter Term 2022/23:

    • Interactive Artificial Intelligence


    2022[ to top ]
    • Semi-unsupervised Learnin...
      Davidson, P., Steininger, M., Huhn, A., Krause, A., Hotho, A. (2022) Semi-unsupervised Learning for Time Series Classification, Milets@KDD, available: https://doi.org/10.48550/ARXIV.2207.03119.
    • Anomaly Detection in Beeh...
      Davidson, P., Steininger, M., Lautenschlager, F., Krause, A., Hotho, A. (2022) Anomaly Detection in Beehives: An Algorithm Comparison, in Sensor Networks, Cham: Springer International Publishing, 1–20, available: https://link.springer.com/chapter/10.1007/978-3-031-17718-7_1.
    2021[ to top ]
      Janetzky, P., Davidson, P., Steininger, M., Krause, A., Hotho, A. (2021) DETECTING PRESENCE OF SPEECH IN ACOUSTIC DATA OBTAINED FROM BEEHIVES, DCASE Workshop.
    • Davidson, P., Buckermann, F., Steininger, M., Krause, A., Hotho, A. (2021) Semi-unsupervised Learning: An In-depth Parameter Analysis, in Edelkamp, S., M{\"o}ller, R. and Rueckert, E., eds., KI 2021: Advances in Artificial Intelligence, Cham: Springer International Publishing, 51–66, available: https://link.springer.com/chapter/10.1007/978-3-030-87626-5_5.
    • Steininger, M., Kobs, K., Davidson, P., Krause, A., Hotho, A. (2021) Density-based weighting for imbalanced regression, Machine Learning, available: https://doi.org/10.1007/s10994-021-06023-5.
    2020[ to top ]
    • OpenLUR: Off-the-shelf ai...
      Lautenschlager, F., Becker, M., Kobs, K., Steininger, M., Davidson, P., Krause, A., Hotho, A. (2020) OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning, Atmospheric Environment, 233, 117535, available: https://doi.org/https://doi.org/10.1016/j.atmosenv.2020.117535.
    • Smartwatch-Derived Data a...
      Davidson, P., Düking, P., Zinner, C., Sperlich, B., Hotho, A. (2020) Smartwatch-Derived Data and Machine Learning Algorithms Estimate Classes of Ratings of Perceived Exertion in Runners: A Pilot Study, Sensors, available: https://doi.org/10.3390/s20092637.
    • Anomaly Detection in Beeh...
      Davidson, P., Steininger, M., Lautenschlager, F., Kobs, K., Krause, A., Hotho, A. (2020) Anomaly Detection in Beehives using Deep Recurrent Autoencoders, in Proceedings of the 9th International Conference on Sensor Networks (SENSORNETS 2020), SCITEPRESS – Science and Technology Publications, Lda., 142–149.

    Other scientific activities

    • PC Member ECML/PKDD 2021 and 2022
    • Subreviewer for several conferences and journals