20 Publikationen
2021 | Konferenz - Beitrag | ELSA-ID: 4509
Bunte, Andreas et. al. (2021): Why it is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote it, in: International Conference on Agents and Artificial Intelligence (ICAART).
ELSA
2020 | Konferenz - Beitrag | ELSA-ID: 4512
Geng, Christoph et. al. (2020): Concept for Rule-Based Information Aggregation in Modular Production Plants, in: KommA 2020 – Jahreskolloquium Kommunikation in der Automation, Lemgo, Germany.
ELSA
2020 | Konferenz - Beitrag | ELSA-ID: 4513
Bunte, Andreas et. al. (2020): Automated Detection of Production Cycles in Production Plants using Machine Learning, in: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , Vienna, Austria.
ELSA
2020 | Sammelwerk - Beitrag | ELSA-ID: 4786
Niggemann, Oliver et. al. (2020): Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion, in: Michael ten Hompel et. al. (Hgg.): Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik, Berlin, S. 800.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4780
Bunte, Andreas et. al. (2019): Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS, in: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Zaragoza, Spain.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4781
Bunte, Andreas u. a.: Evaluation of Cognitive Architectures for Cyber-Physical Production Systems, in: Institute of Electrical and Electronics Engineers, Universidad de Zaragoza (Hgg.): 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), [Piscataway, NJ] 2019 (IEEE International Conference on Emerging Technologies and Factory Automation-ETFA), S. 729–736.
ELSA
| DOI
2019 | Zeitschriftenaufsatz | ELSA-ID: 4784
Bunte, Andreas et. al. (2019): Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems, in: arXiv e-prints.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4785
Bunte, Andreas et. al. (2019): Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models, in: , Hawaii, USA.
ELSA
2018 | Konferenz - Beitrag | ELSA-ID: 4787
Bunte, Andreas et. al. (2018): Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA, in: 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).
ELSA
2018 | Konferenz - Beitrag | ELSA-ID: 4788
Bunte, Andreas et. al. (2018): Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach, in: International Conference on Agents and Artificial Intelligence (ICAART), Madeira, Portugal.
ELSA
2017 | Konferenz - Beitrag | ELSA-ID: 4789
Bunte, Andreas et. al. (2017): Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems, in: 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS).
ELSA
2016 | Konferenz - Beitrag | ELSA-ID: 4782
Bunte, Andreas et. al. (2016): Natürlichsprachliche Schnittstelle für Produktionssysteme, in: Tagungsband des Entwicklerforums „HMI – Komponenten Lösungen“, München.
ELSA
| Download (ext.)
2016 | Konferenz - Beitrag | ELSA-ID: 4790
Bunte, Andreas et. al. (2016): Semantics Enable Standardized User Interfaces for Diagnosis in Modular Production Systems, in: International Workshop on the Principles of Diagnosis (DX), Denver, CO, USA.
ELSA
2016 | Konferenz - Beitrag | ELSA-ID: 4791
Bunte, Andreas et. al. (2016): Integrating Semantics for Diagnosis of Manufacturing Systems, in: 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Berlin.
ELSA
2016 | Sammelwerk - Beitrag | ELSA-ID: 4792
Niggemann, Oliver et. al. (2016): Datenanalyse in der intelligenten Fabrik, in: Birgit Vogel-Hauser et. al. (Hgg.): Handbuch Industrie 4.0 Bd. 2, Berlin, Heidelberg.
ELSA
| Download (ext.)
2015 | Konferenz - Beitrag | ELSA-ID: 4793
Diedrich, Alexander et. al. (2015): Kognitive Architektur zum Konzeptlernen in technischen Systemen, in: Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), Lemgo, Germany.
ELSA
2015 | Konferenz - Beitrag | ELSA-ID: 4794
Niggemann, Oliver et. al. (2015): Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control, in: International Workshop on the Principles of Diagnosis (DX), Paris, France.
ELSA
2014 | Konferenz - Beitrag | ELSA-ID: 4795
Niggemann, Oliver et. al. (2014): Using Learned Models for the Root Cause Analysis of Cyber-Physical Production Systems, in: International Workshop on the Principles of Diagnosis (DX).
ELSA
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20 Publikationen
2021 | Konferenz - Beitrag | ELSA-ID: 4509
Bunte, Andreas et. al. (2021): Why it is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote it, in: International Conference on Agents and Artificial Intelligence (ICAART).
ELSA
2020 | Konferenz - Beitrag | ELSA-ID: 4512
Geng, Christoph et. al. (2020): Concept for Rule-Based Information Aggregation in Modular Production Plants, in: KommA 2020 – Jahreskolloquium Kommunikation in der Automation, Lemgo, Germany.
ELSA
2020 | Konferenz - Beitrag | ELSA-ID: 4513
Bunte, Andreas et. al. (2020): Automated Detection of Production Cycles in Production Plants using Machine Learning, in: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , Vienna, Austria.
ELSA
2020 | Sammelwerk - Beitrag | ELSA-ID: 4786
Niggemann, Oliver et. al. (2020): Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion, in: Michael ten Hompel et. al. (Hgg.): Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik, Berlin, S. 800.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4780
Bunte, Andreas et. al. (2019): Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS, in: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Zaragoza, Spain.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4781
Bunte, Andreas u. a.: Evaluation of Cognitive Architectures for Cyber-Physical Production Systems, in: Institute of Electrical and Electronics Engineers, Universidad de Zaragoza (Hgg.): 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), [Piscataway, NJ] 2019 (IEEE International Conference on Emerging Technologies and Factory Automation-ETFA), S. 729–736.
ELSA
| DOI
2019 | Zeitschriftenaufsatz | ELSA-ID: 4784
Bunte, Andreas et. al. (2019): Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems, in: arXiv e-prints.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4785
Bunte, Andreas et. al. (2019): Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models, in: , Hawaii, USA.
ELSA
2018 | Konferenz - Beitrag | ELSA-ID: 4787
Bunte, Andreas et. al. (2018): Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA, in: 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).
ELSA
2018 | Konferenz - Beitrag | ELSA-ID: 4788
Bunte, Andreas et. al. (2018): Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach, in: International Conference on Agents and Artificial Intelligence (ICAART), Madeira, Portugal.
ELSA
2017 | Konferenz - Beitrag | ELSA-ID: 4789
Bunte, Andreas et. al. (2017): Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems, in: 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS).
ELSA
2016 | Konferenz - Beitrag | ELSA-ID: 4782
Bunte, Andreas et. al. (2016): Natürlichsprachliche Schnittstelle für Produktionssysteme, in: Tagungsband des Entwicklerforums „HMI – Komponenten Lösungen“, München.
ELSA
| Download (ext.)
2016 | Konferenz - Beitrag | ELSA-ID: 4790
Bunte, Andreas et. al. (2016): Semantics Enable Standardized User Interfaces for Diagnosis in Modular Production Systems, in: International Workshop on the Principles of Diagnosis (DX), Denver, CO, USA.
ELSA
2016 | Konferenz - Beitrag | ELSA-ID: 4791
Bunte, Andreas et. al. (2016): Integrating Semantics for Diagnosis of Manufacturing Systems, in: 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Berlin.
ELSA
2016 | Sammelwerk - Beitrag | ELSA-ID: 4792
Niggemann, Oliver et. al. (2016): Datenanalyse in der intelligenten Fabrik, in: Birgit Vogel-Hauser et. al. (Hgg.): Handbuch Industrie 4.0 Bd. 2, Berlin, Heidelberg.
ELSA
| Download (ext.)
2015 | Konferenz - Beitrag | ELSA-ID: 4793
Diedrich, Alexander et. al. (2015): Kognitive Architektur zum Konzeptlernen in technischen Systemen, in: Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), Lemgo, Germany.
ELSA
2015 | Konferenz - Beitrag | ELSA-ID: 4794
Niggemann, Oliver et. al. (2015): Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control, in: International Workshop on the Principles of Diagnosis (DX), Paris, France.
ELSA
2014 | Konferenz - Beitrag | ELSA-ID: 4795
Niggemann, Oliver et. al. (2014): Using Learned Models for the Root Cause Analysis of Cyber-Physical Production Systems, in: International Workshop on the Principles of Diagnosis (DX).
ELSA