most citedDiscovery of Fatigue Strength Models via Feature Engineering and automated eXplainable Machine Learning applied to the welded Transverse Stiffener

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CE2025★ 6 cited

Discovery of Fatigue Strength Models via Feature Engineering and automated eXplainable Machine Learning applied to the welded Transverse Stiffener

Michael A. Kraus, Helen Bartsch

This research introduces a unified approach combining Automated Machine Learning (AutoML) with Explainable Artificial Intelligence (XAI) to predict fatigue strength in welded trans…