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Intern
    Data Science Chair

    Michael Steininger, M.Sc.

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

    Email:  steininger@informatik.uni-wuerzburg.de

    Phone: (+49 931)  31 - 89482

    Office: Room B108 (Computer Science Building M2)

    Projects and Research Interests

    I joined the DMIR group for my PhD studies after receiving my master's degree in Computer Science at the university of Würzburg in early 2018. As a member of the BigData@Geo project, I am working on climate and air pollution modeling using machine learning techniques.

    Teaching

    Summer Term 2020:

    Summer Term 2019:

    Winter Term 2018/19:

    Summer Term 2018:

    Publications

    2020

    • MapLUR: Exploring a New P... - Download
      Steininger, M., Kobs, K., Zehe, A., Lautenschlager, F., Becker, M., Hotho, A. (2020) “MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images”, ACM Trans. Spatial Algorithms Syst., 6(3), available: https://doi.org/10.1145/3380973.
       
    • Davidson, P., Steininger, M., Lautenschlager, F., Kobs, K., Krause, A., Hotho, A. (2020) “Anomaly Detection in Beehives using Deep Recurrent Autoencoders”, available: http://arxiv.org/abs/2003.04576.
       
    • Kobs, K., Steininger, M., Zehe, A., Lautenschlager, F., Hotho, A. (2020) “SimLoss: Class Similarities in Cross Entropy”, available: http://arxiv.org/abs/2003.03182.
       

    2018

    • EveryAware Gears: A Tool ... - Download
      Lautenschlager, F., Becker, M., Steininger, M., Hotho, A. (2018) “EveryAware Gears: A Tool to visualize and analyze all types of Citizen Science Data”, in Burghardt, D., Chen, S., Andrienko, G., Andrienko, N., Purves, R. and Diehl, A., eds., Proceedings Of Vgi Geovisual Analytics Workshop, Colocated With Bdva 2018, KOPS.