2019
| , and , Beta Distribution Drift Detection for Adaptive Classifiers, in: Proceedings of the 2019 European Symposium on Artificial Neural Networks -- ESANN'19, 2019 |
| , and , Mending is Better than Ending: Adapting Immutable Classifiers to Nonstationary Environments using Ensembles of Patches, in: Proceedings of the 2019 International Joint Conference on Neural Networks -- IJCNN'19, 2019 |
| , Patching - A Framework for Adapting Immutable Classifiers to Evolving Domains, Technische Universität, 2019 |
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| , and , Patching Deep Neural Networks for Nonstationary Environments, in: Proceedings of the 2019 International Joint Conference on Neural Networks -- IJCNN'19, 2019 |
| , and , Predicting and Forecasting the Lifetime of Automotive Vehicle Components, in: 29. VDI-Fachtagung Technische Zuverlässigkeit 2019, Düsseldorf, pages 321-336, VDI Wissensforum GmbH, 2019 |
2018
| and , Batchwise Patching of Classifiers, in: Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), pages 3374--3381, 2018 |
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| , and , Leveraging Reproduction-Error Representations for Multi-Instance Classification, in: Proceedings of the 21st International Conference on Discovery Science - DS'18, Limassol, Cyprus, pages 83-95, Springer Nature Switzerland AG, 2018 |
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| and , More Data Matters: Improving CGM Prediction via Ubiquitous Data and Deep Learning, in: Proceedings of the 3rd International Workshop on Ubiquitous Personal Assistance (co-located with Ubicomp), pages 1 -- 8, 2018 |
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| , and , Towards Semi-Supervised Classification of Event Streams via Denoising Autoencoders, in: Proceedings of the 17th IEEE International Conference on Machine Learning and Applications (ICMLA-18), pages 131--136, IEEE, 2018 |
| , , , , , , , , and , UPA18: 3rd International Workshop on Ubiquitous Personal Assistance, in: Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp): Adjunct Publication, ACM, 2018 |
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2016
| , Improving Cargo Train Availability with Predictive Maintenance: An Overview and Prototype Implementation, in: AET Papers Repository, Association for European Transport, 2016 |
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| , and , Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype, in: Proceedings of the 19th International Conference on Discovery Science (DS-16), Bari, Italy, pages 151--166, Springer-Verlag, 2016 |
[DOI] [URL] |
2015
| , and , Advances in Predictive Maintenance for a Railway Scenario - Project Techlok, Knowledge Engineering Group, 2015 |
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| , and , 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
| , , and , 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 |
[URL] |
| , Nutzung bahnbezogener Sensordaten zur Vorhersage von Wartungszyklen, TU Darmstadt, Knowledge Engineering Group, 2014 |
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