Immanuel Schweizer
First name(s): Immanuel
Last name(s): Schweizer

Publications of Immanuel Schweizer
2016
Big Data Analytics in the Social and Ubiquitous Context, Springer, Lecture Notes in Computer Science, volume 9546, 2016
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2015
Axel Schulz, Jakob Karolus, Frederik Janssen and Immanuel Schweizer, Accurate Pollutant Modeling and Mapping: Applying Machine Learning to Participatory Sensing and Urban Topology Data, in: Proceedings of the International Conference on Networked Systems (NetSys2015), Cottbus, Germany, pages 1--8, IEEE, 2015
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Heiko Paulheim, Axel Schulz, Frederik Janssen, Petar Ristoski and Immanuel Schweizer, Intelligente Datenauswertung mit Linked Open Data, in: Corporate Semantic Web: Wie semantische Anwendungen in Unternehmen Nutzen stiften, pages 187--201, Springer Vieweg, 2015
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Sebastian Kauschke, Frederik Janssen and Immanuel Schweizer, On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application, in: Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB, Trier, Germany, October 7-9, 2015., pages 121-132, CEUR Workshop Proceedings, 2015
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2014
Timo Nolle, Immanuel Schweizer and Frederik Janssen, Data-driven Detection of Congestion-affected Roads, Knowledge Engineering Group, Technische Universität Darmstadt, number TUD–KE–2014–02, 2014
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Sebastian Kauschke, Immanuel Schweizer, Michael Fiebrig and Frederik Janssen, Learning to Predict Component Failures in Trains, in: Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, pages 71--82, CEUR Workshop Proceedings, 2014
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2013
2009
Immanuel Schweizer, Kamill Panitzek, Sang-Hyeun Park and Johannes Fürnkranz, An Exploitative Monte-Carlo Poker Agent, TU Darmstadt, Knowledge Engineering Group, number TUD-KE-2009-02, 2009
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Immanuel Schweizer, Kamill Panitzek, Sang-Hyeun Park and Johannes Fürnkranz, An Exploitative Monte-Carlo Poker Agent, in: Proceedings of the 32nd Annual German Conference on Artificial Intelligence (KI 2009, Paderborn, Germany), pages 65--72, Springer, 2009
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Immanuel Schweizer, Kamill Panitzek, Sang-Hyeun Park and Johannes Fürnkranz, An Exploitative Monte-Carlo Poker Agent, in: Proceedings of the LWA 2009: Lernen -- Wissen -- Adaption, Workshop Knowledge Discovery, Data Mining and Machine Learning (KDML-09), pages 100--104, 2009