Sebastian Kauschke

Sebastian Kauschke

+49 6151 16-21814
+49 6151 16-23202

Hochschulstraße 10
64289 Darmstadt

Office: S2|02 D202

More information

Research

Sebastian is currently involved in a collaboration project involving FG Knowledge Engineering and DB Schenker Rail. The project is focused on the development of a predictive maintenance system for trains. The failures of train engines as well as other deteriorating components are predicted, so that maintenance procedures can be scheduled accordingly.

Publications

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Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2019 | 2018 | 2016 | 2015 | 2014
Anzahl der Einträge: 16.

2019

Heuschkel, Jens ; Kauschke, Sebastian ; Mühlhäuser, Max (2019):
Towards Automatic Classification of Common Therapy Errors for Diabetes Therapy Support.
Waikoloa, USA, In: 2019 IEEE Global Communications Conference: Selected Areas in Communications: E-Health (Globecom2019 SAC EH), Waikoloa, USA, 9-13 December 2019, [Konferenzveröffentlichung]

Meurisch, Christian ; Kauschke, Sebastian ; Grube, Tim ; Bayrak, Bekir ; Mühlhäuser, Max (2019):
{P}Net: Privacy-preserving Personalization of AI-based Models by Anonymous Inter-person Similarity Networks.
Houston, USA, In: 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (to appear), In: MobiQuitous'19, [Konferenzveröffentlichung]

Kauschke, Sebastian (2019):
Patching - A Framework for Adapting Immutable Classifiers to Evolving Domains.
Darmstadt, Technische Universität, [Online-Edition: https://tuprints.ulb.tu-darmstadt.de/9089],
[Dissertation]

Kauschke, Sebastian (2019):
Patching - A Framework for Adapting Immutable Classifiers to Evolving Domains.
Darmstadt, Technische Universität Darmstadt, [Online-Edition: http://tuprints.ulb.tu-darmstadt.de/9089/],
[Dissertation]

Esbel, O. ; Kauschke, Sebastian ; Rinderknecht, Stephan (2019):
Predicting and Forecasting the Lifetime of Automotive Vehicle Componenets.
In: 29. VDI-Fachtagung Technische Zuverlässigkeit 2019, In: VDI-Berichte, 2345, [Konferenzveröffentlichung]

2018

Kauschke, Sebastian ; Mühlhäuser, Max ; Fürnkranz, Johannes (2018):
Towards Semi-Supervised Classification of Event Streams via Denoising Autoencoders.
Orlando, IEEE, In: IEEE ICMLA 2018 : 17th IEEE International Conference On Machine Learning And Applications, Orlando, Florida, Dec 17, 2018 - Dec 20, 2018, [Konferenzveröffentlichung]

Kauschke, Sebastian ; Mühlhäuser, Max ; Fürnkranz, Johannes (2018):
Leveraging Reproduction-Error Representations for Multi-Instance Classification.
In: Discovery Science, Cham, Springer Nature, In: 21st International Conference on Discovery Science, Limassol, Cyprus, October 29–31, 2018, In: Lecture Notes on Artificial Intelligence, 11198, ISBN Print 978-3-030-01770-5 Online 978-3-030-01771-2,
DOI: 10.1007/978-3-030-01771-2_6,
[Konferenzveröffentlichung]

Meurisch, Christian ; Scholl, Philipp M. ; Naeem, Usman ; Pejovic, Veljko ; Müller, Florian ; Di Lascio, Elena ; Kuo, Pei-Yi (Patricia) ; Kauschke, Sebastian ; Azam, Muhammad Awais ; Mühlhäuser, Max (2018):
UPA’18: 3rd International Workshop on Ubiquitous Personal Assistance.
In: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, Singapore, Singapore, ACM, In: UbiComp'18, ISBN 978-1-4503-5966-5,
DOI: 10.1145/3267305.3274133,
[Konferenzveröffentlichung]

Heuschkel, Jens ; Kauschke, Sebastian (2018):
More Data Matters: Improving CGM Prediction via Ubiquitous Data and Deep Learning.
In: UbiComp '18 Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, Singapur, In: UbiComp '18, Singapur, 08.-12.10.18, ISBN 978-1-4503-5966-5,
DOI: 10.1145/3267305.3274132,
[Online-Edition: https://dl.acm.org/citation.cfm?doid=3267305.3274132],
[Konferenzveröffentlichung]

Kauschke, Sebastian ; Fürnkranz, Johannes (2018):
Batchwise Patching of Classifiers.
In: Proceedings of the 32nd AAAI Conference on Artificial Intelligence, New Orleans, LA, USA, February 2-7, 2018, [Online-Edition: https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16...],
[Konferenzveröffentlichung]

2016

Kauschke, Sebastian ; Fürnkranz, Johannes ; Janssen, Frederik (2016):
Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype.
In: Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings, Cham, Springer, Bari, Italy, October 19–21, 2016, ISBN 978-3-319-46306-3,
DOI: 10.1007/978-3-319-46307-0_10,
[Konferenzveröffentlichung]

Kauschke, Sebastian (2016):
Improving Cargo Train Availability with Predictive Maintenance: An Overview and Prototype Implementation.
In: European Transport Conference 2016Association for European Transport (AET), Association for European Transport, [Konferenzveröffentlichung]

2015

Kauschke, Sebastian ; Janssen, Frederik ; Schweizer, Immanuel (2015):
On the Challenges of Real World Data in Predictive Maintenance Scenarios: A Railway Application.
In: KDML: Workshop on Knowledge Discovery, Data Mining and Machine Learning, Trier, [Konferenzveröffentlichung]

Kauschke, Sebastian ; Janssen, Frederik ; Schweizer, Immanuel (2015):
Advances in Predictive Maintenance for a Railway Scenario - Project Techlok.
[Online-Edition: http://www.ke.tu-darmstadt.de/bibtex/publications/show/2690],
[Report]

Kauschke, Sebastian ; Janssen, Frederik ; Schweizer, Immanuel
Bergmann, Ralph ; Görg, Sebastian ; Müller, Gilbert (Hrsg.) (2015):
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., In: LWA 2015 conference, Trier, Germany, October 7-9, 2015, In: CEUR Workshop Proceedings, 1458, [Online-Edition: http://ceur-ws.org/Vol-1458/],
[Konferenzveröffentlichung]

2014

Kauschke, Sebastian ; Schweizer, Immanuel ; Fiebrig, Michael ; Janssen, Frederik
Seidl, Thomas ; Hassani, Marwan ; Beecks, Christian (Hrsg.) (2014):
Learning to Predict Component Failures in Trains.
In: LWA 2014 Workshops KDML, IR and FGWM : proceedings of the 16th LWA Workshops, Aachen, Germany, In: 16th LWA Workshops : KDML, IR and FGWM, Aachen, Germany, September 8 - 10, 2014, In: CEUR workshop proceedings, 1226, [Online-Edition: http://ceur-ws.org/Vol-1226/paper13.pdf],
[Konferenzveröffentlichung]

Diese Liste wurde am Fri Nov 22 06:07:39 2019 CET generiert.

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