Tim Pychynski

According to our database, Tim Pychynski authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Causal Knowledge in Data Fusion Subject to Latent Confounding and Measurement Error.

Jingyi Yu, Tim Pychynski, Marco F. Huber

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2024

Causal Knowledge in Data Fusion: Systematic Evaluation on Quality Prediction and Root Cause Analysis.

Jingyi Yu, Tim Pychynski, Karim Said Barsim, Marco F. Huber

Proceedings of the 27th International Conference on Information Fusion, 2024

extttcausalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery.

Konstantin Göbler, Tobias Windisch, Mathias Drton, Tim Pychynski, Martin Roth, Steffen Sonntag

Proceedings of the Causal Learning and Reasoning, 2024

2023

causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery.

Konstantin Göbler, Tobias Windisch, Tim Pychynski, Steffen Sonntag, Martin Roth, Mathias Drton

CoRR, 2023

2022

Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding.

Baifan Zhou, Tim Pychynski, Markus Reischl, Evgeny Kharlamov, Ralf Mikut

J. Intell. Manuf., 2022

2020

Semantic ML for Manufacturing Monitoring at Bosch.

Baifan Zhou, Yulia Svetashova, Tim Pychynski, Evgeny Kharlamov

Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

SemML: Reusable ML for Condition Monitoring in Discrete Manufacturing.

Yulia Svetashova, Baifan Zhou, Stefan Schmid, Tim Pychynski, Evgeny Kharlamov

Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

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

Yulia Svetashova, Baifan Zhou, Tim Pychynski, Stefan Schmidt, York Sure-Vetter, Ralf Mikut, Evgeny Kharlamov

Proceedings of the Semantic Web - ISWC 2020, 2020

SemFE: Facilitating ML Pipeline Development with Semantics.

Baifan Zhou, Yulia Svetashova, Tim Pychynski, Ildar Baimuratov, Ahmet Soylu, Evgeny Kharlamov

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study.

Baifan Zhou, Yulia Svetashova, Seongsu Byeon, Tim Pychynski, Ralf Mikut, Evgeny Kharlamov

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2017

DaMoQ: Eine Open-Source-MATLAB-Toolbox zur Bewertung von Daten- und Modellqualität in Regressionen.

Wolfgang Doneit, Ralf Mikut, Lutz Gröll, Tim Pychynski, Markus Reischl

Autom., 2017