Johannes Huegle

21 papers A* 3A 2B 1C 2Journal 4Unranked 8
YearRankTypeTitle / Venue / Authors
2024 — —
Causal discovery in practice: Non-parametric conditional independence testing and tooling for causal discovery (Kausale Entdeckung in der Praxis: Nichtparametrische bedingte Unabhängigkeitstests und Werkzeuge für die Kausalentdeckung)
Johannes Huegle
2024 J jnl
Self-learning Agents for Recommerce Markets.
Bus. Inf. Syst. Eng.
Jan Groeneveld, Judith Herrmann, Nikkel Mollenhauer, Leonard Dreeßen, Nick Bessin, Johann Schulze Tast, Alexander Kastius, Johannes Huegle, Rainer Schlosser
2023 — conf
A KNN-Based Non-Parametric Conditional Independence Test for Mixed Data and Application in Causal Discovery.
ECML/PKDD (1)
Johannes Huegle, Christopher Hagedorn, Rainer Schlosser
2022 — conf
GPU Acceleration for Information-theoretic Constraint-based Causal Discovery.
CD@KDD
Christopher Hagedorn, Constantin Lange, Johannes Huegle, Rainer Schlosser
2022 — conf
GPUCSL: GPU-Based Library for Causal Structure Learning.
ICDM (Workshops)
Tom Braun, Ben Hurdelhey, Dominik Meier, Petr Tsayun, Christopher Hagedorn, Johannes Huegle, Rainer Schlosser
2022 J jnl
Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning.
J. Intell. Manuf.
Christopher Hagedorn, Johannes Huegle, Rainer Schlosser
2021 A* conf
An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios.
IJCAI
Johannes Huegle
2021 — conf
Constraint-Based Causal Structure Learning in Multi-GPU Environments.
LWDA
Christopher Hagedorn, Johannes Huegle
2021 A conf
GPU-Accelerated Constraint-Based Causal Structure Learning for Discrete Data.
SDM
Christopher Hagedorn, Johannes Huegle
2021 A* conf
MPCSL - A Modular Pipeline for Causal Structure Learning.
KDD
Johannes Huegle, Christopher Hagedorn, Michael Perscheid, Hasso Plattner
2021 C conf
Unterstützte Fehlerbehebung durch kausales Strukturwissen in Überwachungssystemen der Automobilfertigung.
Software Engineering (Satellite Events)
Johannes Huegle, Christopher Hagedorn, Matthias Uflacker
2020 — conf
Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices.
SE
Christoph Matthies, Johannes Huegle, Tobias Dürschmid, Ralf Teusner
2020 A* conf
How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines.
IJCAI
Johannes Huegle, Christopher Hagedorn, Matthias Uflacker
2019 C conf
An automatic calibration approach for a multi-camera-robot system.
ETFA
Ole Kröger, Johannes Huegle, Carsten A. Niebuhr
2019 J jnl
Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices.
CoRR
Christoph Matthies, Johannes Huegle, Tobias Dürschmid, Ralf Teusner
2019 — conf
Attitudes, beliefs, and development data concerning agile software development practices.
ICSE (SEET)
Christoph Matthies, Johannes Huegle, Tobias Dürschmid, Ralf Teusner
2019 — conf
Load-Balanced Parallel Constraint-Based Causal Structure Learning on Multi-Core Systems for High-Dimensional Data.
CD@KDD
Christopher Schmidt, Johannes Huegle, Philipp Bode, Matthias Uflacker
2019 — conf
Out-of-Core GPU-Accelerated Causal Structure Learning.
ICA3PP (1)
Christopher Schmidt, Johannes Huegle, Siegfried Horschig, Matthias Uflacker
2019 A conf
Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems.
ICDCS
Guenter Hesse, Christoph Matthies, Kelvin Glass, Johannes Huegle, Matthias Uflacker
2019 J jnl
Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems.
CoRR
Guenter Hesse, Christoph Matthies, Kelvin Glass, Johannes Huegle, Matthias Uflacker
2018 B conf
Order-independent constraint-based causal structure learning for gaussian distribution models using GPUs.
SSDBM
Christopher Schmidt, Johannes Huegle, Matthias Uflacker