Kognitive Architektur zum Konzeptlernen in technischen Systemen. - Alexander Diedrich; Andreas Bunte; Alexander Maier; Oliver Niggemann (ML4CPS, 2015)

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

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

Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. - Andreas Bunte; Peng Li 045; Oliver Niggemann (ML4CPS, 2017)

Datenanalyse in der intelligenten Fabrik. - Oliver Niggemann; Gautam Biswas; John S. Kinnebrew; Hamed Khorasgani; Sören Volgmann; Andreas Bunte (Handbuch Industrie 4.0 (2), 2017)

Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. - Andreas Bunte; Oliver Niggemann; Benno Stein 001 (ETFA, 2018)

Mapping Data Sets to Concepts using Machine Learning and a Knowledge based Approach. - Andreas Bunte; Peng Li 045; Oliver Niggemann (ICAART (2), 2018)

Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. - Andreas Bunte; Benno Stein 001; Oliver Niggemann (AAAI, 2019)

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

Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. - Andreas Bunte; Paul Wunderlich; Natalia Moriz; Peng Li 045; André Mankowski; Antje Rogalla; Oliver Niggemann (ETFA, 2019)

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

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

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

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

Why It is Hard to Find AI in SMEs: A Survey from the Practice and How to Promote It. - Andreas Bunte; Frank Richter; Rosanna Diovisalvi (ICAART (2), 2021)

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

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

Potentials of Explainable Predictions of Order Picking Times in Industrial Production. - Kaja Balzereit; Nehal Soni; Andreas Bunte (ICAART (3), 2023)

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

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