Grouping: [TypesYears 

Peer-Reviewed International Conference, Workshop Papers, and Book Chapters

[4] André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev, and Valentin Curtef. 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), April 20-24, 2020. [ bib | pdf  ]
[3] André Bauer, Marwin Züfle, Nikolas Herbst, and Samuel Kounev. Best Practices for Time Series Forecasting (Tutorial Paper). In 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W), Umea, Sweden, June 20, 2019. [ bib | pdf  | slides  ]
[2] André Bauer. Challenges and Approaches: Forecasting for Autonomic Computing. In Organic Computing: Doctoral Dissertation Colloquium 2018, Sven Tomforde, and Bernhard Sick, editors. kassel university press GmbH, April 2019. [ bib | pdf  | DOI  ]
[1] Marwin Züfle, André Bauer, Nikolas Herbst, Valentin Curtef, and Samuel Kounev. Telescope: A Hybrid Forecast Method for Univariate Time Series (Extended Abstract Paper). In Proceedings of the International work-conference on Time Series (ITISE 2017), Granada, Spain, September 2017. [ bib | abstract  | pdf  ]

Talks

[3] Nikolas Herbst. Methoden und Messverfahren für Automatisches Skalieren in Elastischen Cloud Umgebungen. GI Dissertationspreis: Seminar für Nominierte Doktoranden, Dagstuhl, Germany, June 28, 2019, June 2019. [ bib | slides  ]
[2] Nikolas Herbst. How we built a scalable micro-service application - The Tea Store. Keynote Talk at the ScrumScale workshop, Oslo, Norway, July 5, 2018, July 2018. [ bib | slides  | http  ]
[1] Marwin Züfle. Predictive Maintenance for Industry 4.0. Talk at Workshop on Self-Awareness in Cyber-Physical Systems 2018, April 2018. [ bib | slides  ]

Theses

[4] Nikolas Herbst. Methods and Benchmarks for Auto-Scaling Mechanisms in Elastic Cloud Environments. PhD thesis, University of Würzburg, Germany, July 2018. Distinction, SPEC Kaivalya Dixit Distinguished Dissertation Award 2018. [ bib | slides  | http  ]
[3] Dominik Otto. Comparing Machine Learning Approaches for Multivariate Time Series Forecasting. Bachelor Thesis, University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, April 2018. [ bib | pdf  ]
[2] Britta Augustin. Automatisiertes Forecasting mit Feature Engineering. Bachelor Thesis, University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, April 2018. [ bib | pdf  ]
[1] Marwin Züfle. Dynamic Hybrid Forecasting for Self-Aware Systems. Master Thesis, University of Würzburg, Am Hubland, Informatikgebäude, 97074 Würzburg, Germany, October 2017. Würzburg Software Engineering Award sponsored by infosim. [ bib | pdf  | slides  ]