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3 Publikationen
2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns, F., Lange-Hegermann, M., & Beecks, C. (2020). Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. In H. Panetto, K. Madani, & A. Smirnov (Eds.), Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1 (pp. 87–92). SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0010130300870092
ELSA
| DOI
2019 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12808
Li, P., & Niggemann, O. (2019). Non-convex hull based anomaly detection in CPPS. Engineering Applications of Artificial Intelligence, 87, Article 103301. https://doi.org/10.1016/j.engappai.2019.103301
ELSA
| DOI
| WoS
2015 | Konferenz - Beitrag | ELSA-ID: 2167 | 
Niggemann, O., & Lohweg, V. (2015). On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. In Twenty-Ninth Conference on Artificial Intelligence (AAAI-15). Austin, Texas, USA.
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