4 citations · 5 across the 3 of their papers we have counts for
3 papers
EXCODER: EXplainable Classification Of DiscretE time series Representations
Yannik Hahn, Antonin Königsfeld, Hasan Tercan +1
Deep learning has significantly improved time series classification, yet the lack of explainability in these models remains a major challenge. While Explainable AI (XAI) techniques…
Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding
Yannik Hahn, Jan Voets, Antonin Koenigsfeld +2
Modern manufacturing relies heavily on fusion welding processes, including gas metal arc welding (GMAW). Despite significant advances in machine learning-based quality prediction,…
Towards a Deep Learning-based Online Quality Prediction System for Welding Processes
Yannik Hahn, Robert Maack, Guido Buchholz +4
The digitization of manufacturing processes enables promising applications for machine learning-assisted quality assurance. A widely used manufacturing process that can strongly be…