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2020 – today
- 2023
[j2]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: 111631 (2023)- 2022
- [b1]Marwin Züfle:
Proactive Critical Event Prediction based on Monitoring Data with Focus on Technical Systems. Julius Maximilians University Würzburg, Germany, 2022 - 2021
- [c11]Marwin Züfle, Florian Erhard, Samuel Kounev:
Machine Learning Model Update Strategies for Hard Disk Drive Failure Prediction. ICMLA 2021: 1379-1386 - [c10]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: 1-8 - [c9]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: 189-204 - [c8]André Bauer, Marwin Züfle, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev:
Libra: A Benchmark for Time Series Forecasting Methods. ICPE 2021: 189-200 - 2020
- [j1]André Bauer, Marwin Züfle, Nikolas Herbst, Albin Zehe, Andreas Hotho, Samuel Kounev:
Time Series Forecasting for Self-Aware Systems. Proc. IEEE 108(7): 1068-1093 (2020) - [c7]Marwin Züfle, Samuel Kounev:
A Framework for Time Series Preprocessing and History-based Forecasting Method Recommendation. FedCSIS 2020: 141-144 - [c6]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: 1902-1905 - [c5]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: 19-36 - [c4]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: 48-55 - [i2]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 abs/2002.01025 (2020) - [i1]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 abs/2002.08224 (2020)
2010 – 2019
- 2019
- [c3]Marwin Züfle, André Bauer, Veronika Lesch, Christian Krupitzer, Nikolas Herbst, Samuel Kounev, Valentin Curtef:
Autonomic Forecasting Method Selection: Examination and Ways Ahead. ICAC 2019: 167-176 - [c2]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: 134-139 - [c1]André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev:
Best Practices for Time Series Forecasting (Tutorial). FAS*W@SASO/ICAC 2019: 255-256
Coauthor Index
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