Christopher Hagedorn

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Causal Structure

Top Venues

Software Engineering (Satellite Events)

Publications

Johannes Huegle, Christopher Hagedorn, Rainer Schlosser
A KNN-Based Non-Parametric Conditional Independence Test for Mixed Data and Application in Causal Discovery. ECML/PKDD (1) (2023)
Christopher Hagedorn, Constantin Lange, Johannes Huegle, Rainer Schlosser
GPU Acceleration for Information-theoretic Constraint-based Causal Discovery. CD@KDD (2022)
Christopher Hagedorn, Johannes Huegle, Rainer Schlosser
Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning. J. Intell. Manuf. 33 (7) (2022)
Tom Braun, Ben Hurdelhey, Dominik Meier, Petr Tsayun, Christopher Hagedorn, Johannes Huegle, Rainer Schlosser
GPUCSL: GPU-Based Library for Causal Structure Learning. ICDM (Workshops) (2022)
Johannes Huegle, Christopher Hagedorn, Matthias Uflacker
Unterstützte Fehlerbehebung durch kausales Strukturwissen in Überwachungssystemen der Automobilfertigung. Software Engineering (Satellite Events) (2021)
Christopher Hagedorn, Johannes Huegle
GPU-Accelerated Constraint-Based Causal Structure Learning for Discrete Data. SDM (2021)
Christopher Hagedorn, Johannes Huegle
Constraint-Based Causal Structure Learning in Multi-GPU Environments. LWDA (2021)
Johannes Huegle, Christopher Hagedorn, Michael Perscheid, Hasso Plattner
MPCSL - A Modular Pipeline for Causal Structure Learning. KDD (2021)
Johannes Huegle, Christopher Hagedorn, Matthias Uflacker
How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines. IJCAI (2020)