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Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric
(2022)
Dealing with Data Quality in Smart Home Environments — Lessons Learned from a Smart Grid Pilot
(2016)
Detection of Concept Drift in Manufacturing Data with SHAP Values to Improve Error Prediction
(2021)
Energy Informatics
(2013)
Lessons Learned
(2008)
Proactive Error Prevention in Manufacturing Based on an Adaptable Machine Learning Environment
(2019)
Shapley Values based Regional Feature Importance Measures Driving Error Analysis in Manufacturing
(2022)
Six Case Studies
(2008)