Johannes Hügle

According to our database, Johannes Hügle authored at least 21 papers between 2017 and 2024.

Collaborative distances:

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

2024

Self-learning Agents for Recommerce Markets.

Jan Groeneveld, Judith Herrmann, Nikkel Mollenhauer, Leonard Dreeßen, Nick Bessin, Johann Schulze Tast, Alexander Kastius, Johannes Huegle, Rainer Schlosser

Bus. Inf. Syst. Eng., August, 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

PhD thesis, 2024

2023

A KNN-Based Non-Parametric Conditional Independence Test for Mixed Data and Application in Causal Discovery.

Johannes Huegle, Christopher Hagedorn, Rainer Schlosser

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning.

Christopher Hagedorn, Johannes Huegle, Rainer Schlosser

J. Intell. Manuf., 2022

GPU Acceleration for Information-theoretic Constraint-based Causal Discovery.

Christopher Hagedorn, Constantin Lange, Johannes Huegle, Rainer Schlosser

Proceedings of the KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA, 2022

GPUCSL: GPU-Based Library for Causal Structure Learning.

Tom Braun, Ben Hurdelhey, Dominik Meier, Petr Tsayun, Christopher Hagedorn, Johannes Huegle, Rainer Schlosser

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

Unterstützte Fehlerbehebung durch kausales Strukturwissen in Überwachungssystemen der Automobilfertigung.

Johannes Huegle, Christopher Hagedorn, Matthias Uflacker

Proceedings of the Software Engineering 2021 Satellite Events, Braunschweig/Virtual, Germany, February 22, 2021

GPU-Accelerated Constraint-Based Causal Structure Learning for Discrete Data.

Christopher Hagedorn, Johannes Huegle

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Constraint-Based Causal Structure Learning in Multi-GPU Environments.

Christopher Hagedorn, Johannes Huegle

Proceedings of the LWDA 2021 Workshops: FGWM, 2021

MPCSL - A Modular Pipeline for Causal Structure Learning.

Johannes Huegle, Christopher Hagedorn, Michael Perscheid, Hasso Plattner

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios.

Johannes Huegle

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices.

Christoph Matthies, Johannes Huegle, Tobias Dürschmid, Ralf Teusner

Proceedings of the Software Engineering 2020, 2020

How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines.

Johannes Huegle, Christopher Hagedorn, Matthias Uflacker

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Load-Balanced Parallel Constraint-Based Causal Structure Learning on Multi-Core Systems for High-Dimensional Data.

Christopher Schmidt, Johannes Huegle, Philipp Bode, Matthias Uflacker

Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, 2019

Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems.

Guenter Hesse, Christoph Matthies, Kelvin Glass, Johannes Huegle, Matthias Uflacker

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Out-of-Core GPU-Accelerated Causal Structure Learning.

Christopher Schmidt, Johannes Huegle, Siegfried Horschig, Matthias Uflacker

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

An automatic calibration approach for a multi-camera-robot system.

Ole Kröger, Johannes Huegle, Carsten A. Niebuhr

Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

Combining the Advantages of On- and Offline Industrial Robot Programming.

Jan Guhl, Sylvio Nikoleizig, Oliver Heimann, Johannes Hügle, Jörg Krüger

Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

2018

Order-independent constraint-based causal structure learning for gaussian distribution models using GPUs.

Christopher Schmidt, Johannes Huegle, Matthias Uflacker

Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

2017

An integrated approach for industrial robot control and programming combining haptic and non-haptic gestures.

Johannes Hügle, Jens Lambrecht, Jörg Krüger

Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

Gesture based robot programming using process knowledge - An example for welding applications.

Oliver Heimann, Johannes Hügle, Jörg Krüger

Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017