Autonomic Forecasting Method Selection: Examination and Ways Ahead. - Marwin Züfle; André Bauer 001; Veronika Lesch; Christian Krupitzer; Nikolas Herbst; Samuel Kounev; Valentin Curtef (ICAC, 2019)

Best Practices for Time Series Forecasting (Tutorial). - André Bauer 001; Marwin Züfle; Nikolas Herbst; Samuel Kounev (FAS*W@SASO/ICAC, 2019)

Utilizing Clustering to Optimize Resource Demand Estimation Approaches. - Johannes Grohmann; Simon Eismann; André Bauer 001; Marwin Züfle; Nikolas Herbst; Samuel Kounev (FAS*W@SASO/ICAC, 2019)

A Framework for Time Series Preprocessing and History-based Forecasting Method Recommendation. - Marwin Züfle; Samuel Kounev (FedCSIS, 2020)

Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field. - André Bauer 001; Marwin Züfle; Nikolas Herbst; Samuel Kounev; Valentin Curtef (ICDE, 2020)

To Fail or Not to Fail: Predicting Hard Disk Drive Failure Time Windows. - Marwin Züfle; Christian Krupitzer; Florian Erhard; Johannes Grohmann; Samuel Kounev (MMB, 2020)

An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series. - André Bauer 001; Marwin Züfle; Johannes Grohmann; Norbert Schmitt; Nikolas Herbst; Samuel Kounev (ICPE, 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 001 (CoRR, 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 001; Samuel Kounev (CoRR, 2020)

Time Series Forecasting for Self-Aware Systems. - André Bauer 001; Marwin Züfle; Nikolas Herbst; Albin Zehe; Andreas Hotho; Samuel Kounev (Proc. IEEE, 2020)

Machine Learning Model Update Strategies for Hard Disk Drive Failure Prediction. - Marwin Züfle; Florian Erhard; Samuel Kounev (ICMLA, 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 (INDIN, 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 001 (RCIS, 2021)

Libra: A Benchmark for Time Series Forecasting Methods. - André Bauer 001; Marwin Züfle; Simon Eismann; Johannes Grohmann; Nikolas Herbst; Samuel Kounev (ICPE, 2021)

Proactive Critical Event Prediction based on Monitoring Data with Focus on Technical Systems. - Marwin Züfle (2022)

A literature review of IoT and CPS - What they are, and what they are not. - Veronika Lesch; Marwin Züfle; André Bauer 001; Lukas Iffländer; Christian Krupitzer; Samuel Kounev (J. Syst. Softw., 2023)