Potentials of Explainable Predictions of Order Picking Times in Industrial Production. - Balzereit, Kaja; Soni, Nehal; Bunte, Andreas (2023)

Optimization of a High Storage System with two Cranes per Aisle. - Grüttemeier, Niels; Bunte, Andreas; Windmann, Stefan (2023)

Efficient Production Scheduling by Exploiting Repetitive Product Configurations. - Grüttemeier, Niels; Balzereit, Kaja; Soni, Nehal; Bunte, Andreas (2023)

Explaining solutions to multi-stage stochastic optimization problems to decision makers. - Tierney, Kevin; Balzereit, Kaja; Bunte, Andreas; Niehörster, Oliver (2022)

Generating Causal Hypotheses for Explaining Black-Box Industrial Processes. - Balzereit, Kaja; Diedrich, Alexander; Kubus, Daniel; Ginster, Jonas; Bunte, Andreas (2022)

Why It is Hard to Find AI in SMEs: A Survey from the Practice and How to Promote It. - Bunte, Andreas; Richter, Frank; Diovisalvi, Rosanna (2021)

Entwicklung einer ontologiebasierten Beschreibung zur Erhöhung des Automatisierungsgrades in der Produktion - Bunte, Andreas (2020)

Automated Detection of Production Cycles in Production Plants using Machine Learning. - Bunte, Andreas; Ressler, Henrik; Moriz, Natalia (2020)

CAAI - A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. - Fischbach, Andreas; Strohschein, Jan; Bunte, Andreas; Stork, Jörg; Faeskorn-Woyke, Heide; Moriz, Natalia; Bartz-Beielstein, Thomas (CoRR, 2020)

Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems. - Strohschein, Jan; Fischbach, Andreas; Bunte, Andreas; Faeskorn-Woyke, Heide; Moriz, Natalia; Bartz-Beielstein, Thomas (CoRR, 2020)

Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. - Bunte, Andreas; Stein, Benno; Niggemann, Oliver (2019)

Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. - Bunte, Andreas; Fischbach, Andreas; Strohschein, Jan; Bartz-Beielstein, Thomas; Faeskorn-Woyke, Heide; Niggemann, Oliver (2019)

Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. - Bunte, Andreas; Wunderlich, Paul; Moriz, Natalia; Li, Peng; Mankowski, André; Rogalla, Antje; Niggemann, Oliver (2019)

Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. - Bunte, Andreas; Fischbach, Andreas; Strohschein, Jan; Bartz-Beielstein, Thomas; Faeskorn-Woyke, Heide; Niggemann, Oliver (CoRR, 2019)

Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. - Bunte, Andreas; Niggemann, Oliver; Stein, Benno (2018)

Mapping Data Sets to Concepts using Machine Learning and a Knowledge based Approach. - Bunte, Andreas; Li, Peng; Niggemann, Oliver (2018)

Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. - Bunte, Andreas; Li, Peng; Niggemann, Oliver (2017)

Datenanalyse in der intelligenten Fabrik. - Niggemann, Oliver; Biswas, Gautam; Kinnebrew, John S.; Khorasgani, Hamed; Volgmann, Sören; Bunte, Andreas (2017)

Integrating semantics for diagnosis of manufacturing systems. - Bunte, Andreas; Diedrich, Alexander; Niggemann, Oliver (2016)

Kognitive Architektur zum Konzeptlernen in technischen Systemen. - Diedrich, Alexander; Bunte, Andreas; Maier, Alexander; Niggemann, Oliver (2015)

Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control. - Niggemann, Oliver; Biswas, Gautam; Kinnebrew, John S.; Khorasgani, Hamed; Volgmann, Sören; Bunte, Andreas (2015)