Multi-source transfer learning of time series in cyclical manufacturing W Zellinger, T Grubinger, M Zwick, E Lughofer, H Schöner, T Natschläger, ... Journal of Intelligent Manufacturing 31, 777-787, 2020 | 30 | 2020 |
Implementing automated analyses in an active data warehouse environment using workflow technology M Zwick, C Lettner, C Hawel International Conference on Trends in Enterprise Application Architecture …, 2006 | 8 | 2006 |
Automatic bounding box annotation with small training datasets for industrial manufacturing M Geiß, R Wagner, M Baresch, J Steiner, M Zwick Micromachines 14 (2), 442, 2023 | 5 | 2023 |
Workflowdsl: Scalable workflow execution with provenance for data analysis applications T Fernando, N Gureev, M Matskin, M Zwick, T Natschläger 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC …, 2018 | 5 | 2018 |
IndustrialEdgeML-End-to-end edge-based computer vision systemfor Industry 5.0 R Wagner, M Matuschek, P Knaack, M Zwick, M Geiß Procedia Computer Science 217, 594-603, 2023 | 4 | 2023 |
Fast and automatic object registration for human-robot collaboration in industrial manufacturing M Geiß, M Baresch, G Chasparis, E Schweiger, N Teringl, M Zwick International Conference on Database and Expert Systems Applications, 232-242, 2022 | 3 | 2022 |
A framework for factory-trained virtual sensor models based on censored production data S Luftensteiner, M Zwick International Conference on Database and Expert Systems Applications, 3-16, 2020 | 3 | 2020 |
Combining stream processing engines and big data storages for data analysis T Steinmaurer, P Traxler, M Zwick, R Stumptner, C Lettner Foundations of Intelligent Systems: 21st International Symposium, ISMIS 2014 …, 2014 | 3 | 2014 |
A framework for improving offline learning models with online data S Luftensteiner, M Zwick DBKDA 2021, 39, 2021 | 1 | 2021 |
ML-PipeDebugger: A Debugging Tool for Data Processing Pipelines F Kossak, M Zwick Database and Expert Systems Applications: 30th International Conference …, 2019 | 1 | 2019 |
A data analysis framework for high-variety product lines in the industrial manufacturing domain C Lettner, M Zwick International Conference on Enterprise Information Systems 2, 209-216, 2014 | 1 | 2014 |
Improving Virtual Sensor Models by Censored Online Data S Luftensteiner, M Zwick Procedia Computer Science 217, 938-947, 2023 | | 2023 |
Fast and Automatic Object Registration for Human-Robot Collaboration in Industrial Manufacturing N Teringl, M Zwick Database and Expert Systems Applications-DEXA 2022 Workshops: 33rd …, 2022 | | 2022 |
FLEX+ Optimiertes Energie-Management durch KI G Chasparis, M Zwick | | 2021 |
SymReg-MT: Iterative Multi-task Feature Learning Through Weighted Symbolic Regression M Zwick, H Schöner, E Rezaie | | |