Kevin Styp-Rekowski

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Anomaly Detection

Condition Monitoring

Iterative Learning

Stream Processing

Top Venues

Publications

Dominik Scheinert, Fabian Casares, Morgan K. Geldenhuys, Kevin Styp-Rekowski, Odej Kao
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems. IC2E (2023)
Dominik Scheinert, Fabian Casares, Morgan K. Geldenhuys, Kevin Styp-Rekowski, Odej Kao
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems. CoRR (2023)
Soeren Becker, Kevin Styp-Rekowski, Oliver Vincent Leon Stoll, Odej Kao
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things. Big Data (2022)
Sören Becker, Kevin Styp-Rekowski, Oliver Vincent Leon Stoll, Odej Kao
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things. CoRR (2022)
Jonathan Bader, Kevin Styp-Rekowski, Leon Doehler, Sören Becker, Odej Kao
Macaw: The Machine Learning Magnetometer Calibration Workflow. CoRR (2022)
Jonathan Bader, Kevin Styp-Rekowski, Leon Doehler, Soeren Becker, Odei Kao
Macaw: The Machine Learning Magnetometer Calibration Workflow. ICDM (Workshops) (2022)
Kevin Styp-Rekowski, Florian Schmidt, Odej Kao
Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series. CoRR (2021)
Kevin Styp-Rekowski, Claudia Stolle, Ingo Michaelis, Odej Kao
Calibration of the GRACE-FO Satellite Platform Magnetometers and Co-Estimation of Intrinsic Time Shift in Data. IEEE BigData (2021)
Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao
Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines. CoRR (2021)
Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao
Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines. IEEE BigData (2020)
Kevin Styp-Rekowski, Florian Schmidt, Odej Kao
Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series. IEEE BigData (2020)
Andreas Lommatzsch, Benjamin Kille, Kevin Styp-Rekowski, Max Karl, Jan Pommering
A Framework for Analyzing News Images and Building Multimedia-Based Recommender. I4CS (2019)
Daniel Thilo Schroeder, Kevin Styp-Rekowski, Florian Schmidt, Alexander Acker, Odej Kao
Graph-based Feature Selection Filter Utilizing Maximal Cliques. SNAMS (2019)