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Jan Zenisek
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Machine learning based concept drift detection for predictive maintenance
J Zenisek, F Holzinger, M Affenzeller
Computers & Industrial Engineering 137, 106031, 2019
1812019
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
512017
Investigating the potential of smart manufacturing technologies
J Zenisek, N Wild, J Wolfartsberger
Procedia computer science 180, 507-516, 2021
462021
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
402018
Supporting teamwork in industrial virtual reality applications
J Wolfartsberger, J Zenisek, N Wild
Procedia Manufacturing 42, 2-7, 2020
312020
Data-driven maintenance: combining predictive maintenance and mixed reality-supported remote assistance
J Wolfartsberger, J Zenisek, N Wild
Procedia Manufacturing 45, 307-312, 2020
282020
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
162017
Streaming synthetic time series for simulated condition monitoring
J Zenisek, J Wolfartsberger, C Sievi, M Affenzeller
IFAC-PapersOnLine 51 (11), 643-648, 2018
112018
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
72023
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
72022
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
72020
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
62021
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
62019
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
42017
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
32022
Produktivitätssteigerung durch vorausschauende Instandhaltung und Datenvisualisierung
H Jodlbauer, J Wolfartsberger, J Zenisek, M Brunner
Zeitschrift für wirtschaftlichen Fabrikbetrieb 114 (4), 181-183, 2019
32019
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
32019
Towards uncertainty visualization in smart production environments
B Zimmer, J Zenisek, HC Jetter
Proceedings of the 11th International Symposium on Visual Information …, 2018
32018
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
32018
Automated Machine Learning for Industrial Applications–Challenges and Opportunities
F Bachinger, J Zenisek, M Affenzeller
Procedia Computer Science 232, 1701-1710, 2024
12024
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