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ORCIDAndreas Bunte
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2020 – today
- 2023
[c16]Kaja Balzereit, Nehal Soni, Andreas Bunte:
Potentials of Explainable Predictions of Order Picking Times in Industrial Production. ICAART (3) 2023: 405-412- [c15]Niels Grüttemeier, Andreas Bunte, Stefan Windmann:
Optimization of a High Storage System with two Cranes per Aisle. INDIN 2023: 1-6 - [c14]Niels Grüttemeier, Kaja Balzereit, Nehal Soni, Andreas Bunte:
Efficient Production Scheduling by Exploiting Repetitive Product Configurations. INDIN 2023: 1-6 - 2022
- [c13]Kevin Tierney, Kaja Balzereit, Andreas Bunte, Oliver Niehörster:
Explaining solutions to multi-stage stochastic optimization problems to decision makers. ETFA 2022: 1-4 - [c12]Kaja Balzereit, Alexander Diedrich, Daniel Kubus, Jonas Ginster, Andreas Bunte
:
Generating Causal Hypotheses for Explaining Black-Box Industrial Processes. ICPS 2022: 1-6 - 2021
- [c11]Andreas Bunte, Frank Richter, Rosanna Diovisalvi:
Why It is Hard to Find AI in SMEs: A Survey from the Practice and How to Promote It. ICAART (2) 2021: 614-620 - 2020
- [b1]Andreas Bunte:
Entwicklung einer ontologiebasierten Beschreibung zur Erhöhung des Automatisierungsgrades in der Produktion. Bauhaus University, Weimar, Germany, 2020 - [c10]Andreas Bunte, Henrik Ressler, Natalia Moriz:
Automated Detection of Production Cycles in Production Plants using Machine Learning. ETFA 2020: 1423-1426 - [i3]Andreas Fischbach, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide Faeskorn-Woyke, Natalia Moriz, Thomas Bartz-Beielstein:
CAAI - A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. CoRR abs/2003.00925 (2020) - [i2]Jan Strohschein, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke, Natalia Moriz, Thomas Bartz-Beielstein:
Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems. CoRR abs/2012.01823 (2020)
2010 – 2019
- 2019
- [c9]Andreas Bunte, Benno Stein, Oliver Niggemann:
Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. AAAI 2019: 2727-2735 - [c8]Andreas Bunte, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, Oliver Niggemann:
Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. ETFA 2019: 729-736 - [c7]Andreas Bunte, Paul Wunderlich, Natalia Moriz, Peng Li, André Mankowski, Antje Rogalla, Oliver Niggemann:
Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. ETFA 2019: 1701-1704 - [i1]Andreas Bunte, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, Oliver Niggemann:
Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. CoRR abs/1902.08448 (2019) - 2018
- [c6]Andreas Bunte, Oliver Niggemann, Benno Stein:
Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. ETFA 2018: 1383-1390 - [c5]Andreas Bunte, Peng Li, Oliver Niggemann:
Mapping Data Sets to Concepts using Machine Learning and a Knowledge based Approach. ICAART (2) 2018: 430-437 - 2017
- [c4]Andreas Bunte, Peng Li, Oliver Niggemann:
Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. ML4CPS 2017: 43-51 - [p1]Oliver Niggemann, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Sören Volgmann, Andreas Bunte:
Datenanalyse in der intelligenten Fabrik. Handbuch Industrie 4.0 (2) 2017: 471-490 - 2016
- [c3]Andreas Bunte, Alexander Diedrich, Oliver Niggemann:
Integrating semantics for diagnosis of manufacturing systems. ETFA 2016: 1-8 - 2015
- [c2]Alexander Diedrich, Andreas Bunte, Alexander Maier, Oliver Niggemann:
Kognitive Architektur zum Konzeptlernen in technischen Systemen. ML4CPS 2015: 75-85 - [c1]Oliver Niggemann, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Sören Volgmann, Andreas Bunte:
Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control. DX 2015: 185-192
Coauthor Index
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