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ORCIDJan Zenisek
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Journal Articles
- 2019
[j1]Jan Zenisek, Florian Holzinger, Michael Affenzeller
:
Machine learning based concept drift detection for predictive maintenance. Comput. Ind. Eng. 137 (2019)
Conference and Workshop Papers
- 2023
- [c14]Holger Gröning, Jan Zenisek, Norbert Wild, Aziz Huskic, Michael Affenzeller:
Method of Process Optimization for LMD-Processes using Machine Learning Algorithms. ISM 2023: 1506-1512 - 2022
- [c13]Jan Zenisek, Sebastian Dorl, Dominik Falkner, Lukas Gaisberger, Stephan M. Winkler, Michael Affenzeller:
Shapley Value Based Variable Interaction Networks for Data Stream Analysis. EUROCAST 2022: 130-138 - [c12]Michael Affenzeller, Michael Bögl, Lukas Fischer, Florian Sobieczky, Kaifeng Yang, Jan Zenisek:
Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way. SYNASC 2022: 1-8 - 2021
- [c11]Norbert Wild, Jochen Giedenbacher, Aziz Huskic, Jan Zenisek, Josef Wolfartsberger:
Selective Laser Melting of AISI H10 (32CrMoV12-28) with substrate preheating for crack prevention. ISM 2021: 1274-1281 - [c10]Jan Zenisek, Holger Gröning, Norbert Wild, Aziz Huskic, Michael Affenzeller:
Machine Learning based Data Stream Merging in Additive Manufacturing. ISM 2021: 1422-1431 - 2020
- [c9]Jan Zenisek, Norbert Wild, Josef Wolfartsberger:
Investigating the Potential of Smart Manufacturing Technologies. ISM 2020: 507-516 - [c8]Judith Friedl, Björn Zimmer, Lisa Perkhofer, Jan Zenisek, Peter Hofer, Hans-Christian Jetter:
An Empirical Study of Task-Specific Limitations of the Overview+Detail Technique for Interactive Time Series Analysis. ISM 2020: 628-638 - 2019
- [c7]Jan Zenisek, Gabriel Kronberger, Josef Wolfartsberger, Norbert Wild, Michael Affenzeller:
Concept Drift Detection with Variable Interaction Networks. EUROCAST (1) 2019: 296-303 - 2018
- [c6]Sonja Strasser, Jan Zenisek, Shailesh Tripathi, Lukas Schimpelsberger, Herbert Jodlbauer:
Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Processes. DATA (Revised Selected Papers) 2018: 50-68 - [c5]Jan Zenisek, Josef Wolfartsberger, Christoph Sievi, Michael Affenzeller:
Modeling Sensor Networks for Predictive Maintenance. OTM Workshops 2018: 184-188 - [c4]Björn Zimmer, Jan Zenisek, Hans-Christian Jetter:
Towards Uncertainty Visualization in Smart Production Environments. VINCI 2018: 116-117 - 2017
- [c3]Jan Zenisek, Michael Affenzeller, Josef Wolfartsberger, Mathias Silmbroth, Christoph Sievi, Aziz Huskic, Herbert Jodlbauer:
Sliding Window Symbolic Regression for Predictive Maintenance Using Model Ensembles. EUROCAST (1) 2017: 481-488 - [c2]Josef Wolfartsberger, Jan Zenisek, Mathias Silmbroth, Christoph Sievi:
Towards an Augmented Reality and Sensor-Based Assistive System for Assembly Tasks. PETRA 2017: 230-231 - [c1]Josef Wolfartsberger, Jan Zenisek, Christoph Sievi, Mathias Silmbroth:
A virtual reality supported 3D environment for engineering design review. VSMM 2017: 1-8
Informal and Other Publications
- 2021
- [i1]Jan Zenisek, Gabriel Kronberger, Josef Wolfartsberger, Norbert Wild, Michael Affenzeller:
Concept Drift Detection with Variable Interaction Networks. CoRR abs/2108.03273 (2021)
Coauthor Index
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