Chair of Data Science (Informatik X)
University of Würzburg
Email: davidson <at> informatik.uni-wuerzburg.de
Phone: (+49 931) 31-89114
Office: Room B104 (Computer Science Building M2)
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:
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://www.mdpi.com/1424-8220/20/9/2637.
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.
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: http://www.sciencedirect.com/science/article/pii/S1352231020302703.