Machine learning based concept drift detection for predictive maintenance J Zenisek, F Holzinger, M Affenzeller Computers & Industrial Engineering 137, 106031, 2019 | 181 | 2019 |
A virtual reality supported 3D environment for engineering design review J Wolfartsberger, J Zenisek, C Sievi, M Silmbroth 2017 23rd International Conference on Virtual System & Multimedia (VSMM), 1-8, 2017 | 51 | 2017 |
Investigating the potential of smart manufacturing technologies J Zenisek, N Wild, J Wolfartsberger Procedia computer science 180, 507-516, 2021 | 46 | 2021 |
Chances and limitations of a virtual reality-supported tool for decision making in industrial engineering J Wolfartsberger, J Zenisek, C Sievi IFAC-PapersOnLine 51 (11), 637-642, 2018 | 40 | 2018 |
Supporting teamwork in industrial virtual reality applications J Wolfartsberger, J Zenisek, N Wild Procedia Manufacturing 42, 2-7, 2020 | 31 | 2020 |
Data-driven maintenance: combining predictive maintenance and mixed reality-supported remote assistance J Wolfartsberger, J Zenisek, N Wild Procedia Manufacturing 45, 307-312, 2020 | 28 | 2020 |
Towards an augmented reality and sensor-based assistive system for assembly tasks J Wolfartsberger, J Zenisek, M Silmbroth, C Sievi Proceedings of the 10th international conference on pervasive technologies …, 2017 | 16 | 2017 |
Streaming synthetic time series for simulated condition monitoring J Zenisek, J Wolfartsberger, C Sievi, M Affenzeller IFAC-PapersOnLine 51 (11), 643-648, 2018 | 11 | 2018 |
Method of process optimization for LMD-processes using machine learning algorithms H Gröning, J Zenisek, N Wild, A Huskic, M Affenzeller Procedia Computer Science 217, 1506-1512, 2023 | 7 | 2023 |
Machine learning based data stream merging in additive manufacturing J Zenisek, H Gröning, N Wild, A Huskic, M Affenzeller Procedia Computer Science 200, 1422-1431, 2022 | 7 | 2022 |
Concept drift detection with variable interaction networks J Zenisek, G Kronberger, J Wolfartsberger, N Wild, M Affenzeller Computer Aided Systems Theory–EUROCAST 2019: 17th International Conference …, 2020 | 7 | 2020 |
An empirical study of task-specific limitations of the overview+ detail technique for interactive time series analysis J Friedl, B Zimmer, L Perkhofer, J Zenisek, P Hofer, HC Jetter Procedia Computer Science 180, 628-638, 2021 | 6 | 2021 |
Modeling sensor networks for predictive maintenance J Zenisek, J Wolfartsberger, C Sievi, M Affenzeller On the Move to Meaningful Internet Systems: OTM 2018 Workshops: Confederated …, 2019 | 6 | 2019 |
Smart maintenance lifecycle management: A design proposal J Zenisek, L Nicoletti, F Longo, G Traugott, A Padovano, M Affenzeller 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the …, 2017 | 4 | 2017 |
Selective Laser Melting of AISI H10 (32CrMoV12-28) with substrate preheating for crack prevention N Wild, J Giedenbacher, A Huskic, J Zenisek, J Wolfartsberger Procedia Computer Science 200, 1274-1281, 2022 | 3 | 2022 |
Produktivitätssteigerung durch vorausschauende Instandhaltung und Datenvisualisierung H Jodlbauer, J Wolfartsberger, J Zenisek, M Brunner Zeitschrift für wirtschaftlichen Fabrikbetrieb 114 (4), 181-183, 2019 | 3 | 2019 |
Linear vs. symbolic regression for adaptive parameter setting in manufacturing processes S Strasser, J Zenisek, S Tripathi, L Schimpelsberger, H Jodlbauer Data Management Technologies and Applications: 7th International Conference …, 2019 | 3 | 2019 |
Towards uncertainty visualization in smart production environments B Zimmer, J Zenisek, HC Jetter Proceedings of the 11th International Symposium on Visual Information …, 2018 | 3 | 2018 |
Sliding window symbolic regression for predictive maintenance using model ensembles J Zenisek, M Affenzeller, J Wolfartsberger, M Silmbroth, C Sievi, A Huskic, ... Computer Aided Systems Theory–EUROCAST 2017: 16th International Conference …, 2018 | 3 | 2018 |
Automated Machine Learning for Industrial Applications–Challenges and Opportunities F Bachinger, J Zenisek, M Affenzeller Procedia Computer Science 232, 1701-1710, 2024 | 1 | 2024 |