3 papers
cs.LG2026
Sensitivity analysis of image classification models using generalized polynomial chaos
Lukas Bahr, Lucas PoÃner, Konstantin Weise +2
Integrating advanced communication protocols in production has accelerated the adoption of data-driven predictive quality methods, notably machine learning (ML) models. However, ML…
cs.IR2025
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis
Lukas Bahr, Christoph Wehner, Judith Wewerka +3
Failure mode and effects analysis (FMEA) is an essential tool for mitigating potential failures, particularly during the ramp-up phases of new products. However, its effectiveness…
cs.LG2024
Anwendung von Causal-Discovery-Algorithmen zur Root-Cause-Analyse in der Fahrzeugmontage
Lucas Possner, Lukas Bahr, Leonard Roehl +2
Root Cause Analysis (RCA) is a quality management method that aims to systematically investigate and identify the cause-and-effect relationships of problems and their underlying ca…