Publications
Journal and Magazine Articles
Full Papers
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Machine Learning Model Update Strategies for Hard Disk Drive Failure Prediction. in 20th IEEE International Conference on Machine Learning and Applications (ICMLA) 1379–1386.
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Recommendations for Data-Driven Degradation Estimation with Case Studies from Manufacturing and Dry-Bulk Shipping. in Research Challenges in Information Science (RCIS) 189–204. Springer.
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A Predictive Maintenance Methodology: Predicting the Time-to-Failure of Machines in Industry 4.0. in Proceedings of the 21st IEEE IES International Conference on Industrial InformaticsIEEE.
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Libra: A Benchmark for Time Series Forecasting Methods. in Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE)ACM, New York, NY, USA.
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{To Fail Or Not To Fail: Predicting Hard Disk Drive Failure Time Windows}. in Proceedings of the 20th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems 19–36. Springer, Cham.
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{Autonomic Forecasting Method Selection: Examination and Ways Ahead}. in Proceedings of the 16th {IEEE} International Conference on Autonomic Computing (ICAC)IEEE.
Short Papers
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A Framework for Time Series Preprocessing and History-based Forecasting Method Recommendation. in Proceedings of the 15th Conference on Computer Science and Information Systems (FedCSIS): Data Mining Competition of the International Symposium on Advanced Artificial Intelligence in Applications
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Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field. in Proceedings of the 36th International Conference on Data Engineering (ICDE)
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{An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series}. in Proceedings of the ACM/SPEC International Conference on Performance Engineering 48–55. Association for Computing Machinery (ACM), New York, NY, USA.
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{Telescope: A Hybrid Forecast Method for Univariate Time Series}. in {Proceedings of the International work-conference on Time Series (ITISE 2017)}
Book Chapters
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Towards a Self-Aware Prediction of Critical States. in Organic Computing: Doctoral Dissertation Colloquium 2020, S. Tomforde, C. Krupitzer (eds.) 139–155. Kassel University Press GmbH.
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Workshop Papers
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{A Concept for Crowd-sensed Prediction of Mobile Network Connectivity}. in GI/ITG Workshop on Machine Learning in the Context of Communication Networks 2020
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{Utilizing Clustering to Optimize Resource Demand Estimation Approaches}. in 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W) 134–139. IEEE.
Tutorial Papers
Talks
Techreports
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{A Survey on Predictive Maintenance for Industry 4.0} Universit{\"a}t W{\"u}rzburg and University of Mannheim and Syntax Systems GmbH and MOZYS Engineering GmbH.
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{A Survey on Human Machine Interaction in Industry 4.0} Universit{\"a}t W{\"u}rzburg and University of Mannheim and ioxp GmbH and Syntax Systems GmbH.