Sliding Window Symbolic Regression for Predictive Maintenance Using Model Ensembles. - Jan Zenisek; Michael Affenzeller; Josef Wolfartsberger; Mathias Silmbroth; Christoph Sievi; Aziz Huskic; Herbert Jodlbauer (EUROCAST (1), 2017)

Towards an Augmented Reality and Sensor-Based Assistive System for Assembly Tasks. - Josef Wolfartsberger; Jan Zenisek; Mathias Silmbroth; Christoph Sievi (PETRA, 2017)

A virtual reality supported 3D environment for engineering design review. - Josef Wolfartsberger; Jan Zenisek; Christoph Sievi; Mathias Silmbroth (VSMM, 2017)

Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Processes. - Sonja Strasser; Jan Zenisek; Shailesh Tripathi; Lukas Schimpelsberger; Herbert Jodlbauer (DATA (Revised Selected Papers), 2018)

Modeling Sensor Networks for Predictive Maintenance. - Jan Zenisek; Josef Wolfartsberger; Christoph Sievi; Michael Affenzeller (OTM Workshops, 2018)

Towards Uncertainty Visualization in Smart Production Environments. - Björn Zimmer; Jan Zenisek; Hans-Christian Jetter (VINCI, 2018)

Concept Drift Detection with Variable Interaction Networks. - Jan Zenisek; Gabriel Kronberger; Josef Wolfartsberger; Norbert Wild; Michael Affenzeller (EUROCAST (1), 2019)

Machine learning based concept drift detection for predictive maintenance. - Jan Zenisek; Florian Holzinger; Michael Affenzeller (Comput. Ind. Eng., 2019)

An Empirical Study of Task-Specific Limitations of the Overview+Detail Technique for Interactive Time Series Analysis. - Judith Friedl; Björn Zimmer; Lisa Perkhofer; Jan Zenisek; Peter Hofer; Hans-Christian Jetter (ISM, 2020)

Investigating the Potential of Smart Manufacturing Technologies. - Jan Zenisek; Norbert Wild; Josef Wolfartsberger (ISM, 2020)

Selective Laser Melting of AISI H10 (32CrMoV12-28) with substrate preheating for crack prevention. - Norbert Wild; Jochen Giedenbacher; Aziz Huskic; Jan Zenisek; Josef Wolfartsberger (ISM, 2021)

Machine Learning based Data Stream Merging in Additive Manufacturing. - Jan Zenisek; Holger Gröning; Norbert Wild; Aziz Huskic; Michael Affenzeller (ISM, 2021)

Shapley Value Based Variable Interaction Networks for Data Stream Analysis. - Jan Zenisek; Sebastian Dorl; Dominik Falkner; Lukas Gaisberger; Stephan M. Winkler; Michael Affenzeller (EUROCAST, 2022)

Method of Process Optimization for LMD-Processes using Machine Learning Algorithms. - Holger Gröning; Jan Zenisek; Norbert Wild; Aziz Huskic; Michael Affenzeller (ISM, 2022)

Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way. - Michael Affenzeller; Michael Bögl; Lukas Fischer 001; Florian Sobieczky; Kaifeng Yang; Jan Zenisek (SYNASC, 2022)

Automated Machine Learning for Industrial Applications - Challenges and Opportunities. - Florian Bachinger; Jan Zenisek; Michael Affenzeller (ISM, 2023)

Integrating Machine Learning into Supply Chain Management: Challenges and Opportunities. - Dominik Falkner; Michael Bögl; Anna Gattinger; Roman Stainko; Jan Zenisek; Michael Affenzeller (ISM, 2023)

A messaging library for distributed modeling. - Jan Zenisek; Florian Bachinger; Dominik Falkner; Erik Pitzer; Stefan Wagner 002; Alfredo Lopez; Michael Affenzeller (ISM, 2023)

Automated Inference of Domain Knowledge in Scientific Machine Learning. - Florian Bachinger; Christian Haider; Jan Zenisek; Fabrício Olivetti de França; Michael Affenzeller (EUROCAST (1), 2024)

Surrogates for Fair-Weather Photovoltaic Module Output. - Dominik Falkner; Michael Bögl; Ines Langthallner; Jan Zenisek; Michael Affenzeller (EUROCAST (3), 2024)

Composable Evolutionary Computation. - Jan Zenisek; Florian Bachinger; Florian Holzinger; Erik Pitzer; Stefan Wagner 002; Michael Affenzeller (EUROCAST (1), 2024)