17 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Technical University of MunichDE3 papers
- ift RosenheimDE2 papers
- Berlin School of Economics and LawDE1 paper
- Deutsches ForschungsnetzDE1 paper
- Georg Simon Ohm University of Applied Sciences NurembergDE1 paper
- Otto-von-Guericke-Universität MagdeburgDE1 paper
- Robert Bosch (Germany)DE1 paper
- Siemens (Germany)DE1 paper
- University of AugsburgDE1 paper
4 papers · 1 filter
Advancements in synthetic data extraction for industrial injection molding
Georg Rottenwalter, Marcel Tilly, Christian Bielenberg +1
Machine learning has significant potential for optimizing various industrial processes. However, data acquisition remains a major challenge as it is both time-consuming and costly.…
Improving Industrial Injection Molding Processes with Explainable AI for Quality Classification
Georg Rottenwalter, Marcel Tilly, Victor Owolabi
Machine learning is an essential tool for optimizing industrial quality control processes. However, the complexity of machine learning models often limits their practical applicabi…
Prompt-Hacking: The New p-Hacking?
Thomas Kosch, Sebastian Feger
As Large Language Models (LLMs) become increasingly embedded in empirical research workflows, their use as analytical tools for quantitative or qualitative data raises pressing con…
GenTL: A General Transfer Learning Model for Building Thermal Dynamics
Fabian Raisch, Thomas Krug, Christoph Goebel +1
Transfer Learning (TL) is an emerging field in modeling building thermal dynamics. This method reduces the data required for a data-driven model of a target building by leveraging…