Andreas Bunte

andreas.bunte@th-owl.de
ID
58885

20 Publikationen

Alle markieren

[20]
2021 | Konferenz - Beitrag | ELSA-ID: 4509
Bunte A, Richter F and Diovisalvi R (2021) Why It Is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote It. International Conference on Agents and Artificial Intelligence (ICAART).
ELSA
 
[19]
2021 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12800
Strohschein J et al. (2021) Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems. The International Journal of Advanced Manufacturing Technology 115, 3513–3532.
ELSA | DOI | WoS
 
[18]
2020 | Konferenz - Beitrag | ELSA-ID: 4512
Geng C et al. (2020) Concept for Rule-Based Information Aggregation in Modular Production Plants. KommA 2020 – Jahreskolloquium Kommunikation in Der Automation. Lemgo, Germany.
ELSA
 
[17]
2020 | Konferenz - Beitrag | ELSA-ID: 4513
Bunte A, Ressler H and Moriz N (2020) Automated Detection of Production Cycles in Production Plants Using Machine Learning. 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) . Vienna, Austria.
ELSA
 
[16]
2020 | Zeitschriftenaufsatz | ELSA-ID: 4518
Fischbach A et al. (2020) CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. The International Journal of Advanced Manufacturing Technology 111, 609–626.
ELSA | DOI | WoS
 
[15]
2020 | Sammelwerk - Beitrag | ELSA-ID: 4786
Niggemann O et al. (2020) Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion. In ten Hompel M, Vogel-Heuser B and Bauernhansl T (eds), Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik. Berlin: Springer, p. 800.
ELSA
 
[14]
2019 | Konferenz - Beitrag | ELSA-ID: 4780
Bunte A et al. (2019) Why Symbolic AI Is a Key Technology for Self-Adaption in the Context of CPPS. 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain.
ELSA
 
[13]
2019 | Konferenz - Beitrag | ELSA-ID: 4781
Bunte A et al. (2019) Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. In Institute of Electrical and Electronics Engineers and Universidad de Zaragoza (eds), 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). [Piscataway, NJ]: IEEE, pp. 729–736.
ELSA | DOI | WoS
 
[12]
2019 | Zeitschriftenaufsatz | ELSA-ID: 4784
Bunte A et al. (2019) Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems. arXiv e-prints.
ELSA
 
[11]
2019 | Konferenz - Beitrag | ELSA-ID: 4785
Bunte A, Stein B and Niggemann O (2019) Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).
ELSA
 
[10]
2018 | Konferenz - Beitrag | ELSA-ID: 4787
Bunte A, Niggemann O and Stein B (2018) Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).
ELSA
 
[9]
2018 | Konferenz - Beitrag | ELSA-ID: 4788
Bunte A, Li P and Niggemann O (2018) Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach. International Conference on Agents and Artificial Intelligence (ICAART). Madeira, Portugal: SCITEPRESS.
ELSA
 
[8]
2017 | Konferenz - Beitrag | ELSA-ID: 4789
Bunte A, Li P and Niggemann O (2017) Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS).
ELSA
 
[7]
2016 | Konferenz - Beitrag | ELSA-ID: 4782
Bunte A, Diedrich A and Niggemann O (2016) Natürlichsprachliche Schnittstelle Für Produktionssysteme. Tagungsband Des Entwicklerforums ‘HMI – Komponenten Lösungen’. München: HMI.
ELSA | Download (ext.)
 
[6]
2016 | Konferenz - Beitrag | ELSA-ID: 4790
Bunte A, Diedrich A and Niggemann O (2016) Semantics Enable Standardized User Interfaces for Diagnosis in Modular Production Systems. International Workshop on the Principles of Diagnosis (DX). Denver, CO, USA.
ELSA
 
[5]
2016 | Konferenz - Beitrag | ELSA-ID: 4791
Bunte A, Diedrich A and Niggemann O (2016) Integrating Semantics for Diagnosis of Manufacturing Systems. 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Berlin.
ELSA
 
[4]
2016 | Sammelwerk - Beitrag | ELSA-ID: 4792
Niggemann O et al. (2016) Datenanalyse in Der Intelligenten Fabrik. In Vogel-Hauser B, Bauernhansl T and ten Hompel M (eds), Handbuch Industrie 4.0 Bd. 2. Berlin, Heidelberg: Springer Berlin Heidelberg.
ELSA | Download (ext.)
 
[3]
2015 | Konferenz - Beitrag | ELSA-ID: 4793
Diedrich A et al. (2015) Kognitive Architektur Zum Konzeptlernen in Technischen Systemen. Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS). Lemgo, Germany.
ELSA
 
[2]
2015 | Konferenz - Beitrag | ELSA-ID: 4794
Niggemann O et al. (2015) Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control. International Workshop on the Principles of Diagnosis (DX). Paris, France.
ELSA
 
[1]
2014 | Konferenz - Beitrag | ELSA-ID: 4795
Niggemann O et al. (2014) Using Learned Models for the Root Cause Analysis of Cyber-Physical Production Systems. International Workshop on the Principles of Diagnosis (DX). Graz, Austria.
ELSA
 
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Zitationsstil: Political Science (Journal)

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20 Publikationen

Alle markieren

[20]
2021 | Konferenz - Beitrag | ELSA-ID: 4509
Bunte A, Richter F and Diovisalvi R (2021) Why It Is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote It. International Conference on Agents and Artificial Intelligence (ICAART).
ELSA
 
[19]
2021 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12800
Strohschein J et al. (2021) Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems. The International Journal of Advanced Manufacturing Technology 115, 3513–3532.
ELSA | DOI | WoS
 
[18]
2020 | Konferenz - Beitrag | ELSA-ID: 4512
Geng C et al. (2020) Concept for Rule-Based Information Aggregation in Modular Production Plants. KommA 2020 – Jahreskolloquium Kommunikation in Der Automation. Lemgo, Germany.
ELSA
 
[17]
2020 | Konferenz - Beitrag | ELSA-ID: 4513
Bunte A, Ressler H and Moriz N (2020) Automated Detection of Production Cycles in Production Plants Using Machine Learning. 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) . Vienna, Austria.
ELSA
 
[16]
2020 | Zeitschriftenaufsatz | ELSA-ID: 4518
Fischbach A et al. (2020) CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. The International Journal of Advanced Manufacturing Technology 111, 609–626.
ELSA | DOI | WoS
 
[15]
2020 | Sammelwerk - Beitrag | ELSA-ID: 4786
Niggemann O et al. (2020) Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion. In ten Hompel M, Vogel-Heuser B and Bauernhansl T (eds), Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik. Berlin: Springer, p. 800.
ELSA
 
[14]
2019 | Konferenz - Beitrag | ELSA-ID: 4780
Bunte A et al. (2019) Why Symbolic AI Is a Key Technology for Self-Adaption in the Context of CPPS. 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain.
ELSA
 
[13]
2019 | Konferenz - Beitrag | ELSA-ID: 4781
Bunte A et al. (2019) Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. In Institute of Electrical and Electronics Engineers and Universidad de Zaragoza (eds), 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). [Piscataway, NJ]: IEEE, pp. 729–736.
ELSA | DOI | WoS
 
[12]
2019 | Zeitschriftenaufsatz | ELSA-ID: 4784
Bunte A et al. (2019) Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems. arXiv e-prints.
ELSA
 
[11]
2019 | Konferenz - Beitrag | ELSA-ID: 4785
Bunte A, Stein B and Niggemann O (2019) Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19).
ELSA
 
[10]
2018 | Konferenz - Beitrag | ELSA-ID: 4787
Bunte A, Niggemann O and Stein B (2018) Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).
ELSA
 
[9]
2018 | Konferenz - Beitrag | ELSA-ID: 4788
Bunte A, Li P and Niggemann O (2018) Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach. International Conference on Agents and Artificial Intelligence (ICAART). Madeira, Portugal: SCITEPRESS.
ELSA
 
[8]
2017 | Konferenz - Beitrag | ELSA-ID: 4789
Bunte A, Li P and Niggemann O (2017) Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS).
ELSA
 
[7]
2016 | Konferenz - Beitrag | ELSA-ID: 4782
Bunte A, Diedrich A and Niggemann O (2016) Natürlichsprachliche Schnittstelle Für Produktionssysteme. Tagungsband Des Entwicklerforums ‘HMI – Komponenten Lösungen’. München: HMI.
ELSA | Download (ext.)
 
[6]
2016 | Konferenz - Beitrag | ELSA-ID: 4790
Bunte A, Diedrich A and Niggemann O (2016) Semantics Enable Standardized User Interfaces for Diagnosis in Modular Production Systems. International Workshop on the Principles of Diagnosis (DX). Denver, CO, USA.
ELSA
 
[5]
2016 | Konferenz - Beitrag | ELSA-ID: 4791
Bunte A, Diedrich A and Niggemann O (2016) Integrating Semantics for Diagnosis of Manufacturing Systems. 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Berlin.
ELSA
 
[4]
2016 | Sammelwerk - Beitrag | ELSA-ID: 4792
Niggemann O et al. (2016) Datenanalyse in Der Intelligenten Fabrik. In Vogel-Hauser B, Bauernhansl T and ten Hompel M (eds), Handbuch Industrie 4.0 Bd. 2. Berlin, Heidelberg: Springer Berlin Heidelberg.
ELSA | Download (ext.)
 
[3]
2015 | Konferenz - Beitrag | ELSA-ID: 4793
Diedrich A et al. (2015) Kognitive Architektur Zum Konzeptlernen in Technischen Systemen. Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS). Lemgo, Germany.
ELSA
 
[2]
2015 | Konferenz - Beitrag | ELSA-ID: 4794
Niggemann O et al. (2015) Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control. International Workshop on the Principles of Diagnosis (DX). Paris, France.
ELSA
 
[1]
2014 | Konferenz - Beitrag | ELSA-ID: 4795
Niggemann O et al. (2014) Using Learned Models for the Root Cause Analysis of Cyber-Physical Production Systems. International Workshop on the Principles of Diagnosis (DX). Graz, Austria.
ELSA
 
Markierte Publikation(en)

Suche

Publikationen filtern

Darstellung / Sortierung

Zitationsstil: Political Science (Journal)

Export / Einbettung