Christian Schreckenberger

InES Research Assistant
(Responsible Professor: Prof. Dr. H. Stuckenschmidt)

Consultation hour
per request

Contact
Visitor address: L15, 1-6 Room 416, 68131 Mannheim, Germany
Postal address: Schloss, 68131 Mannheim, Germany
Email: schreckenberger(at)es.uni-mannheim.de
Phone: + 49 621 181 3592

Research Interest

  • Data Integration
  • Data Mining

Scientific Publications

  • Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2019). Enhancing a crowd-based delivery network with mobility predictions. In Ukkusuri, S., PredictGIS'19 : Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility : Chicago, IL, USA, November 05, 2019 (S. 66-75). , ACM: New York, NY.
  • Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2019). iDropout: Leveraging deep taylor decomposition for the robustness of deep neural networks. In Panetto, H., On the Move to Meaningful Internet Systems: OTM 2019 Conferences : Confederated International Conferences: CoopIS, ODBASE, C&TC 2019, Rhodes, Greece, October 21–25, 2019, Proceedings (S. 113-126). Lecture Notes in Computer Science, Springer International Publishing: Cham.
  • Schreckenberger, C., Beckmann, S. und Bartelt, C. (2019). Next place prediction: A systematic literature review. In Sudo, A., PredictGIS 2018 : Proceedings of the 2nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility : ACM GIS 2018 Conference: November 6 - November 9, 2018, Seattle, Washington (S. 37-45). , ACM: New York, NY.

 

Short CV

  • Since 2017: Research Scientist at the Institute of Enterprise Systems
  • 2014-2017: Master of Science in Business Informatics (Data and Web Science) at the University of Mannheim
  • 2011-2014: Bachelor of Science in Business Informatics at the University of Mannheim