Marwin Züfle

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 15

Top Topics

Failure Prediction

Hard Disk Drive

Top Venues

FAS*W@SASO/ICAC

Publications

Veronika Lesch, Marwin Züfle, André Bauer, Lukas Iffländer, Christian Krupitzer, Samuel Kounev
A literature review of IoT and CPS - What they are, and what they are not. J. Syst. Softw. 200 (2023)
Marwin Züfle, Florian Erhard, Samuel Kounev
Machine Learning Model Update Strategies for Hard Disk Drive Failure Prediction. ICMLA (2021)
Nils Finke, Marisa Mohr, Alexander Lontke, Marwin Züfle, Samuel Kounev, Ralf Möller
Recommendations for Data-Driven Degradation Estimation with Case Studies from Manufacturing and Dry-Bulk Shipping. RCIS (2021)
Marwin Züfle, Joachim Agne, Johannes Grohmann, Ibrahim Dörtoluk, Samuel Kounev
A Predictive Maintenance Methodology: Predicting the Time-to-Failure of Machines in Industry 4.0. INDIN (2021)
André Bauer, Marwin Züfle, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev
Libra: A Benchmark for Time Series Forecasting Methods. ICPE (2021)
Marwin Züfle, Samuel Kounev
A Framework for Time Series Preprocessing and History-based Forecasting Method Recommendation. FedCSIS (2020)
André Bauer, Marwin Züfle, Johannes Grohmann, Norbert Schmitt, Nikolas Herbst, Samuel Kounev
An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series. ICPE (2020)
Christian Krupitzer, Tim Wagenhals, Marwin Züfle, Veronika Lesch, Dominik Schäfer, Amin Mozaffarin, Janick Edinger, Christian Becker, Samuel Kounev
A Survey on Predictive Maintenance for Industry 4.0. CoRR (2020)
André Bauer, Marwin Züfle, Nikolas Herbst, Albin Zehe, Andreas Hotho, Samuel Kounev
Time Series Forecasting for Self-Aware Systems. Proc. IEEE 108 (7) (2020)
Marwin Züfle, Christian Krupitzer, Florian Erhard, Johannes Grohmann, Samuel Kounev
To Fail or Not to Fail: Predicting Hard Disk Drive Failure Time Windows. MMB (2020)
Christian Krupitzer, Sebastian Müller, Veronika Lesch, Marwin Züfle, Janick Edinger, Alexander Lemken, Dominik Schäfer, Samuel Kounev, Christian Becker
A Survey on Human Machine Interaction in Industry 4.0. CoRR (2020)
André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev, Valentin Curtef
Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field. ICDE (2020)
Johannes Grohmann, Simon Eismann, André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev
Utilizing Clustering to Optimize Resource Demand Estimation Approaches. FAS*W@SASO/ICAC (2019)
Marwin Züfle, André Bauer, Veronika Lesch, Christian Krupitzer, Nikolas Herbst, Samuel Kounev, Valentin Curtef
Autonomic Forecasting Method Selection: Examination and Ways Ahead. ICAC (2019)
André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev
Best Practices for Time Series Forecasting (Tutorial). FAS*W@SASO/ICAC (2019)