Marwin Züfle - RankMe

16 papers A* 1B 3C 3Journal 4Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A literature review of IoT and CPS - What they are, and what they are not. J. Syst. Softw. Veronika Lesch, Marwin Züfle, André Bauer, Lukas Iffländer, Christian Krupitzer, Samuel Kounev
2022	—	`—`	Proactive Critical Event Prediction based on Monitoring Data with Focus on Technical Systems. Marwin Züfle
2021	C	`conf`	A Predictive Maintenance Methodology: Predicting the Time-to-Failure of Machines in Industry 4.0. INDIN Marwin Züfle, Joachim Agne, Johannes Grohmann, Ibrahim Dörtoluk, Samuel Kounev
2021	B	`conf`	Libra: A Benchmark for Time Series Forecasting Methods. ICPE André Bauer, Marwin Züfle, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Samuel Kounev
2021	C	`conf`	Machine Learning Model Update Strategies for Hard Disk Drive Failure Prediction. ICMLA Marwin Züfle, Florian Erhard, Samuel Kounev
2021	B	`conf`	Recommendations for Data-Driven Degradation Estimation with Case Studies from Manufacturing and Dry-Bulk Shipping. RCIS Nils Finke, Marisa Mohr, Alexander Lontke, Marwin Züfle, Samuel Kounev, Ralf Möller
2020	C	`conf`	A Framework for Time Series Preprocessing and History-based Forecasting Method Recommendation. FedCSIS Marwin Züfle, Samuel Kounev
2020	J	`jnl`	A Survey on Human Machine Interaction in Industry 4.0. CoRR Christian Krupitzer, Sebastian Müller, Veronika Lesch, Marwin Züfle, Janick Edinger, Alexander Lemken, Dominik Schäfer, Samuel Kounev, Christian Becker
2020	J	`jnl`	A Survey on Predictive Maintenance for Industry 4.0. CoRR Christian Krupitzer, Tim Wagenhals, Marwin Züfle, Veronika Lesch, Dominik Schäfer, Amin Mozaffarin, Janick Edinger, Christian Becker, Samuel Kounev
2020	B	`conf`	An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series. ICPE André Bauer, Marwin Züfle, Johannes Grohmann, Norbert Schmitt, Nikolas Herbst, Samuel Kounev
2020	A*	`conf`	Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field. ICDE André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev, Valentin Curtef
2020	J	`jnl`	Time Series Forecasting for Self-Aware Systems. Proc. IEEE André Bauer, Marwin Züfle, Nikolas Herbst, Albin Zehe, Andreas Hotho, Samuel Kounev
2020	—	`conf`	To Fail or Not to Fail: Predicting Hard Disk Drive Failure Time Windows. MMB Marwin Züfle, Christian Krupitzer, Florian Erhard, Johannes Grohmann, Samuel Kounev
2019	—	`conf`	Autonomic Forecasting Method Selection: Examination and Ways Ahead. ICAC Marwin Züfle, André Bauer, Veronika Lesch, Christian Krupitzer, Nikolas Herbst, Samuel Kounev, Valentin Curtef
2019	—	`conf`	Best Practices for Time Series Forecasting (Tutorial). FAS*W@SASO/ICAC André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev
2019	—	`conf`	Utilizing Clustering to Optimize Resource Demand Estimation Approaches. FAS*W@SASO/ICAC Johannes Grohmann, Simon Eismann, André Bauer, Marwin Züfle, Nikolas Herbst, Samuel Kounev