Profil Benjamin Adrian

Mathematische Kompetenzen

• Signalverarbeitung
• Schwingungsanalysen
• Zeitreihenanalysen
• Maschinelles Lernen

Schwerpunkte

• Data Analytics
  
• Schwingungsdiagnostik
• Condition Monitoring
• Analyse von Verbrauchsdaten
• Predictive Maintenance

Publikationen

Highlightpublikationen

• Sarishvili, A.; Menzel, F.; Adrian, B. und Burr, J.:
  Machine Learning for Predictive Maintenance in Production Environments.
  In: Franke, J.; Schöbel, A. (eds) Statistical Machine Learning for Engineering with Applications. Lecture Notes in Statistics, vol 227, 2024. Springer, Cham. https://doi.org/10.1007/978-3-031-66253-9_4


• Sarishvili, A., Jirstrand, M., Adrian, B., Wirsen, A. (2023): Sparse Inversion of Stacked Autoencoder Classification Machines. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Seventh International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 465. Springer, Singapore. https://doi.org/10.1007/978-981-19-2397-5_55
  
  
• Sporny, M., Adrian, B.: RDFa API: An API for extracting structured data from Web documents.
  W3C Working Group Note 05 July 2012
  
  
• Adrian, B.: Information Extraction on the Semantic Web – Utilizing the Resource Description Framework in Information Extraction .
  PhD-Thesis, DFKI, 2012.
  
  
• Adrian, B.; Schwarz, S.: Using Suffix Arrays for Efficiently Recognition of Named Entities in Large Scale.
  In: Andreas König; Andreas Dengel; Knut Hinkelmann; Koichi Kise; Robert J. Howlett; Lakhmi C. Jain (Hrsg.):
  Knowlege-Based and Intelligent Information and Engineering Systems. International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2011), 15th, September 12 - August 14, Kaiserslautern, Germany, pp. 420-429, Lecture Notes in Computer Science, Vol. 6882, ISBN 978-3-642-23862-8, Springer, 2011.
  
  
• Adrian, B.; Hees, J.; Herman, I.; Sintek, M.; Dengel, A.: Epiphany: Adaptable RDFa Generation Linking the Web of Documents to the Web of Data.
  In: Philipp Cimiano; Helena Sofia Pinto (Hrsg.):
  Knowledge Engineering and Knowledge Management by the Masses. International Conference on Knowledge Engineering and Knowledge Management (EKAW-2010), 17th, October 11-15, Lisbon, Portugal, Pages 178-192, Lecture Notes in Computer Science (LNCS), Vol. 6317, ISBN 978-3-642-16437-8, Springer, 2010.