Tim Pychynski

16 papers A 2C 2Journal 5Unranked 7
YearRankTypeTitle / Venue / Authors
2025 C conf
Causal Mechanism Estimation in Multi-Sensor Systems Across Multiple Domains.
FUSION
Jingyi Yu, Tim Pychynski, Marco F. Huber
2025 J jnl
Causal Mechanism Estimation in Multi-Sensor Systems Across Multiple Domains.
CoRR
Jingyi Yu, Tim Pychynski, Marco F. Huber
2025 J jnl
CausalMan: A physics-based simulator for large-scale causality.
CoRR
Nicholas Tagliapietra, Juergen Luettin, Lavdim Halilaj, Moritz Willig, Tim Pychynski, Kristian Kersting
2025 — conf
Multi-Domain Causal Discovery and Downstream Applications in Manufacturing Systems.
SDF
Jingyi Yu, Tim Pychynski, Marco F. Huber
2024 — conf
Causal Knowledge in Data Fusion Subject to Latent Confounding and Measurement Error.
MFI
Jingyi Yu, Tim Pychynski, Marco F. Huber
2024 C conf
Causal Knowledge in Data Fusion: Systematic Evaluation on Quality Prediction and Root Cause Analysis.
FUSION
Jingyi Yu, Tim Pychynski, Karim Said Barsim, Marco F. Huber
2024 — conf
Finding Root Causes for Outliers in Semantically Annotated Sensor Data.
ESWC Satellite Events (1)
Tim Strobel, Tim Pychynski, Andreas Harth
2024 — conf
extttcausalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery.
CLeaR
Konstantin Göbler, Tobias Windisch, Mathias Drton, Tim Pychynski, Martin Roth, Steffen Sonntag
2023 J jnl
causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery.
CoRR
Konstantin Göbler, Tobias Windisch, Tim Pychynski, Steffen Sonntag, Martin Roth, Mathias Drton
2022 J jnl
Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding.
J. Intell. Manuf.
Baifan Zhou, Tim Pychynski, Markus Reischl, Evgeny Kharlamov, Ralf Mikut
2020 — conf
Ontology-Enhanced Machine Learning: A Bosch Use Case of Welding Quality Monitoring.
ISWC (2)
Yulia Svetashova, Baifan Zhou, Tim Pychynski, Stefan Schmidt, York Sure-Vetter, Ralf Mikut, Evgeny Kharlamov
2020 A conf
Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study.
CIKM
Baifan Zhou, Yulia Svetashova, Seongsu Byeon, Tim Pychynski, Ralf Mikut, Evgeny Kharlamov
2020 A conf
SemFE: Facilitating ML Pipeline Development with Semantics.
CIKM
Baifan Zhou, Yulia Svetashova, Tim Pychynski, Ildar Baimuratov, Ahmet Soylu, Evgeny Kharlamov
2020 — conf
SemML: Reusable ML for Condition Monitoring in Discrete Manufacturing.
ISWC (Demos/Industry)
Yulia Svetashova, Baifan Zhou, Stefan Schmid, Tim Pychynski, Evgeny Kharlamov
2020 — conf
Semantic ML for Manufacturing Monitoring at Bosch.
ISWC (Demos/Industry)
Baifan Zhou, Yulia Svetashova, Tim Pychynski, Evgeny Kharlamov
2017 J jnl
DaMoQ: Eine Open-Source-MATLAB-Toolbox zur Bewertung von Daten- und Modellqualität in Regressionen.
Autom.
Wolfgang Doneit, Ralf Mikut, Lutz Gröll, Tim Pychynski, Markus Reischl