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Ontology-Enhanced Machine Learning: A Bosch Use Case of Welding Quality Monitoring.

, , , , , , and . ISWC (2), volume 12507 of Lecture Notes in Computer Science, page 531-550. Springer, (2020)

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Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study., , , , , and . CIKM, page 2933-2940. ACM, (2020)causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery., , , , , and . CoRR, (2023)Semantic ML for Manufacturing Monitoring at Bosch., , , and . ISWC (Demos/Industry), volume 2721 of CEUR Workshop Proceedings, page 398. CEUR-WS.org, (2020)SemML: Reusable ML for Condition Monitoring in Discrete Manufacturing., , , , and . ISWC (Demos/Industry), volume 2721 of CEUR Workshop Proceedings, page 213-218. CEUR-WS.org, (2020)Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding., , , , and . J. Intell. Manuf., 33 (4): 1139-1163 (2022)extttcausalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery., , , , , and . CLeaR, volume 236 of Proceedings of Machine Learning Research, page 609-642. PMLR, (2024)SemFE: Facilitating ML Pipeline Development with Semantics., , , , , and . CIKM, page 3489-3492. ACM, (2020)Ontology-Enhanced Machine Learning: A Bosch Use Case of Welding Quality Monitoring., , , , , , and . ISWC (2), volume 12507 of Lecture Notes in Computer Science, page 531-550. Springer, (2020)