piwik-script

Intern
Chair of Computer Science II - Software Engineering

Publications

Journal and Magazine Articles

  • A Machine Learning-based Workflow for Automatic Detection of Anomalies in Machine Tools. Züfle, Marwin; Moog, Felix; Lesch, Veronika; Krupitzer, Christian; Kounev, Samuel; in ISA Transactions: The Journal of Automation
    (in press)
  • {Time Series Forecasting for Self-Aware Systems}. Bauer, Andr{\’e}; Z{\"u}fle, Marwin; Herbst, Nikolas; Zehe, Albin; Hotho, Andreas; Kounev, Samuel; in Proceedings of the IEEE 108(7) 1068–1093.

Full Papers

  • Machine Learning Model Update Strategies for Hard Disk Drive Failure Prediction. Z{\"u}fle, Marwin; Erhard, Florian; Kounev, Samuel; in 20th IEEE International Conference on Machine Learning and Applications (ICMLA) 1379–1386.
  • Recommendations for Data-Driven Degradation Estimation with Case Studies from Manufacturing and Dry-Bulk Shipping. Finke, Nils; Mohr, Marisa; Lontke, Alexander; Z{\"u}fle, Marwin; Kounev, Samuel; M{\"o}ller, Ralf; in Research Challenges in Information Science (RCIS) 189–204. Springer.
  • A Predictive Maintenance ...
    A Predictive Maintenance Methodology: Predicting the Time-to-Failure of Machines in Industry 4.0. Züfle, Marwin; Agne, Joachim; Grohmann, Johannes; Dörtoluk, Ibrahim; Kounev, Samuel; in Proceedings of the 21st IEEE IES International Conference on Industrial InformaticsIEEE.
  • Libra: A Benchmark for Ti...
    Libra: A Benchmark for Time Series Forecasting Methods. Bauer, Andr{\’e}; Z{\"u}fle, Marwin; Eismann, Simon; Grohmann, Johannes; Herbst, Nikolas; Kounev, Samuel; in Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE)ACM, New York, NY, USA.
  • {To Fail Or Not To Fail: ...
    {To Fail Or Not To Fail: Predicting Hard Disk Drive Failure Time Windows}. Z{\"u}fle, Marwin; Krupitzer, Christian; Erhard, Florian; Grohmann, Johannes; Kounev, Samuel; in Proceedings of the 20th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems 19–36. Springer, Cham.
  • {Autonomic Forecasting Me...
    {Autonomic Forecasting Method Selection: Examination and Ways Ahead}. Z{\"u}fle, Marwin; Bauer, Andr{\’e}; Lesch, Veronika; Krupitzer, Christian; Herbst, Nikolas; Kounev, Samuel; Curtef, Valentin; in Proceedings of the 16th {IEEE} International Conference on Autonomic Computing (ICAC)IEEE.

Short Papers

  • A Framework for Time Seri...
    A Framework for Time Series Preprocessing and History-based Forecasting Method Recommendation. Z{\"u}fle, Marwin; Kounev, Samuel; in Proceedings of the 15th Conference on Computer Science and Information Systems (FedCSIS): Data Mining Competition of the International Symposium on Advanced Artificial Intelligence in Applications
  • Telescope: An Automatic F...
    Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field. Bauer, Andr{\’e}; Z{\"u}fle, Marwin; Herbst, Nikolas; Kounev, Samuel; Curtef, Valentin; in Proceedings of the 36th International Conference on Data Engineering (ICDE)
  • {An Automated Forecasting...
    {An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series}. Bauer, Andr{\’e}; Z{\"u}fle, Marwin; Grohmann, Johannes; Schmitt, Norbert; Herbst, Nikolas; Kounev, Samuel; in Proceedings of the ACM/SPEC International Conference on Performance Engineering 48–55. Association for Computing Machinery (ACM), New York, NY, USA.
  • {Telescope: A Hybrid Fore...
    {Telescope: A Hybrid Forecast Method for Univariate Time Series}. Z{\"u}fle, Marwin; Bauer, Andr{\’e}; Herbst, Nikolas; Curtef, Valentin; Kounev, Samuel; in {Proceedings of the International work-conference on Time Series (ITISE 2017)}

Book Chapters

  • Towards a Self-Aware Prediction of Critical States. Z{\"u}fle, Marwin; in Organic Computing: Doctoral Dissertation Colloquium 2020, S. Tomforde, C. Krupitzer (eds.) 139–155. Kassel University Press GmbH.

Workshop Papers

  • {A Concept for Crowd-sensed Prediction of Mobile Network Connectivity}. Herrnleben, Stefan; Zeidler, Bernd; Z{\"u}fle, Marwin; Krupitzer, Christian; Kounev, Samuel; in GI/ITG Workshop on Machine Learning in the Context of Communication Networks 2020
  • {Utilizing Clustering to Optimize Resource Demand Estimation Approaches}. Grohmann, Johannes; Eismann, Simon; Bauer, Andre; Zuefle, Marwin; Herbst, Nikolas; Kounev, Samuel; in 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W) 134–139. IEEE.

Tutorial Papers

  • {Best Practices for Time ...
    {Best Practices for Time Series Forecasting}. Bauer, Andr{\’e}; Z{\"u}fle, Marwin; Herbst, Nikolas; Kounev, Samuel; in {2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)}

Talks

  • {Artificial Intelligence in Medicine - From Data Collection to Prediction}. Z{\"u}fle, Marwin; Leppich, Robert;
  • {Predictive Maintenance f...
    {Predictive Maintenance for Industry 4.0}. Z{\"u}fle, Marwin;

Techreports

  • {A Survey on Predictive M...
    {A Survey on Predictive Maintenance for Industry 4.0} Krupitzer, Christian; Wagenhals, Tim; Z{\"u}fle, Marwin; Lesch, Veronika; Sch{\"a}fer, Dominik; Mozaffarin, Amin; Edinger, Janick; Becker, Christian; Kounev, Samuel;Universit{\"a}t W{\"u}rzburg and University of Mannheim and Syntax Systems GmbH and MOZYS Engineering GmbH.
  • {A Survey on Human Machin...
    {A Survey on Human Machine Interaction in Industry 4.0} Krupitzer, Christian; M{\"u}ller, Sebastian; Lesch, Veronika; Z{\"u}fle, Marwin; Edinger, Janick; Lemken, Alexander; Sch{\"a}fer, Dominik; Kounev, Samuel; Becker, Christian;Universit{\"a}t W{\"u}rzburg and University of Mannheim and ioxp GmbH and Syntax Systems GmbH.