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ORCIDJohannes Hügle
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2020 – today
- 2024
[b1]Johannes Huegle:
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). University of Potsdam, Germany, 2024- [j2]Jan Groeneveld, Judith Herrmann, Nikkel Mollenhauer, Leonard Dreeßen, Nick Bessin, Johann Schulze Tast, Alexander Kastius, Johannes Huegle, Rainer Schlosser
:
Self-learning Agents for Recommerce Markets. Bus. Inf. Syst. Eng. 66(4): 441-463 (2024) - 2023
- [c19]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: 541-558 - 2022
- [j1]Christopher Hagedorn, Johannes Huegle, Rainer Schlosser:
Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning. J. Intell. Manuf. 33(7): 2027-2043 (2022) - [c18]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: 1236-1239 - [c17]Christopher Hagedorn, Constantin Lange, Johannes Huegle, Rainer Schlosser:
GPU Acceleration for Information-theoretic Constraint-based Causal Discovery. CD@KDD 2022: 30-60 - 2021
- [c16]Johannes Huegle:
An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios. IJCAI 2021: 4891-4892 - [c15]Johannes Huegle, Christopher Hagedorn, Michael Perscheid, Hasso Plattner:
MPCSL - A Modular Pipeline for Causal Structure Learning. KDD 2021: 3068-3076 - [c14]Christopher Hagedorn, Johannes Huegle:
Constraint-Based Causal Structure Learning in Multi-GPU Environments. LWDA 2021: 106-118 - [c13]Christopher Hagedorn, Johannes Huegle:
GPU-Accelerated Constraint-Based Causal Structure Learning for Discrete Data. SDM 2021: 37-45 - [c12]Johannes Huegle, Christopher Hagedorn, Matthias Uflacker:
Unterstützte Fehlerbehebung durch kausales Strukturwissen in Überwachungssystemen der Automobilfertigung. Software Engineering (Satellite Events) 2021 - 2020
- [c11]Johannes Huegle, Christopher Hagedorn, Matthias Uflacker:
How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines. IJCAI 2020: 5246-5248 - [c10]Christoph Matthies, Johannes Huegle, Tobias Dürschmid, Ralf Teusner:
Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices. SE 2020: 73-74
2010 – 2019
- 2019
- [c9]Ole Kröger, Johannes Huegle, Carsten A. Niebuhr:
An automatic calibration approach for a multi-camera-robot system. ETFA 2019: 1515-1518 - [c8]Jan Guhl, Sylvio Nikoleizig, Oliver Heimann, Johannes Hügle, Jörg Krüger:
Combining the Advantages of On- and Offline Industrial Robot Programming. ETFA 2019: 1567-1570 - [c7]Christopher Schmidt, Johannes Huegle, Siegfried Horschig, Matthias Uflacker:
Out-of-Core GPU-Accelerated Causal Structure Learning. ICA3PP (1) 2019: 89-104 - [c6]Guenter Hesse, Christoph Matthies, Kelvin Glass, Johannes Huegle, Matthias Uflacker:
Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems. ICDCS 2019: 1381-1392 - [c5]Christoph Matthies, Johannes Huegle, Tobias Dürschmid, Ralf Teusner:
Attitudes, beliefs, and development data concerning agile software development practices. ICSE (SEET) 2019: 158-169 - [c4]Christopher Schmidt, Johannes Huegle, Philipp Bode, Matthias Uflacker:
Load-Balanced Parallel Constraint-Based Causal Structure Learning on Multi-Core Systems for High-Dimensional Data. CD@KDD 2019: 59-77 - [i2]Christoph Matthies, Johannes Huegle, Tobias Dürschmid, Ralf Teusner:
Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices. CoRR abs/1903.01866 (2019) - [i1]Guenter Hesse, Christoph Matthies, Kelvin Glass, Johannes Huegle, Matthias Uflacker:
Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems. CoRR abs/1907.08302 (2019) - 2018
- [c3]Christopher Schmidt, Johannes Huegle, Matthias Uflacker:
Order-independent constraint-based causal structure learning for gaussian distribution models using GPUs. SSDBM 2018: 19:1-19:10 - 2017
- [c2]Oliver Heimann, Johannes Hügle, Jörg Krüger:
Gesture based robot programming using process knowledge - An example for welding applications. ETFA 2017: 1-4 - [c1]Johannes Hügle, Jens Lambrecht, Jörg Krüger:
An integrated approach for industrial robot control and programming combining haptic and non-haptic gestures. RO-MAN 2017: 851-857
Coauthor Index
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last updated on 2024-10-16 20:34 CEST by the dblp team
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