Marwin Züfle

According to our database, Marwin Züfle authored at least 16 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A literature review of IoT and CPS - What they are, and what they are not.

Veronika Lesch, Marwin Züfle, André Bauer, Lukas Iffländer, Christian Krupitzer, Samuel Kounev

J. Syst. Softw., June, 2023

2022

Proactive Critical Event Prediction based on Monitoring Data with Focus on Technical Systems.

Marwin Züfle

PhD thesis, 2022

2021

Libra: A Benchmark for Time Series Forecasting Methods.

André Bauer, Marwin Züfle, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

Recommendations for Data-Driven Degradation Estimation with Case Studies from Manufacturing and Dry-Bulk Shipping.

Nils Finke, Marisa Mohr, Alexander Lontke, Marwin Züfle, Samuel Kounev, Ralf Möller

Proceedings of the Research Challenges in Information Science, 2021

A Predictive Maintenance Methodology: Predicting the Time-to-Failure of Machines in Industry 4.0.

Marwin Züfle, Joachim Agne, Johannes Grohmann, Ibrahim Dörtoluk, Samuel Kounev

Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

Machine Learning Model Update Strategies for Hard Disk Drive Failure Prediction.

Marwin Züfle, Florian Erhard, Samuel Kounev

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Time Series Forecasting for Self-Aware Systems.

André Bauer, Marwin Züfle, Nikolas Herbst, Albin Zehe, Andreas Hotho, Samuel Kounev

Proc. IEEE, 2020

A Survey on Predictive Maintenance for Industry 4.0.

Christian Krupitzer, Tim Wagenhals, Marwin Züfle, Veronika Lesch, Dominik Schäfer, Amin Mozaffarin, Janick Edinger, Christian Becker, Samuel Kounev

CoRR, 2020

A Survey on Human Machine Interaction in Industry 4.0.

Christian Krupitzer, Sebastian Müller, Veronika Lesch, Marwin Züfle, Janick Edinger, Alexander Lemken, Dominik Schäfer, Samuel Kounev, Christian Becker

CoRR, 2020

An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series.

André Bauer, Marwin Züfle, Johannes Grohmann, Norbert Schmitt, Nikolas Herbst, Samuel Kounev

Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 2020

To Fail or Not to Fail: Predicting Hard Disk Drive Failure Time Windows.

Marwin Züfle, Christian Krupitzer, Florian Erhard, Johannes Grohmann, Samuel Kounev

Proceedings of the Measurement, Modelling and Evaluation of Computing Systems, 2020

Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field.

André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev, Valentin Curtef

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

A Framework for Time Series Preprocessing and History-based Forecasting Method Recommendation.

Marwin Züfle, Samuel Kounev

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

2019

Utilizing Clustering to Optimize Resource Demand Estimation Approaches.

Johannes Grohmann, Simon Eismann, André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev

Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Best Practices for Time Series Forecasting (Tutorial).

André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev

Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Autonomic Forecasting Method Selection: Examination and Ways Ahead.

Marwin Züfle, André Bauer, Veronika Lesch, Christian Krupitzer, Nikolas Herbst, Samuel Kounev, Valentin Curtef

Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019