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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Semantics Engineering & Materials Science

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Research Output 2016 2018

  • 2 Conference contribution
  • 1 (Old data) Lecture or Presentation
  • 1 Paper
  • 1 Article

Ein Use Case für Industrie 4.0 in der Motorenproduktion

Stanisavljevic, D., Lechner, G. C., Körner, S., Kern, R., Jeitler, B. & Stocker, A., Sep 2018.

Research output: Contribution to conferencePaperResearchpeer-review

Semantic stability in wikipedia

Stanisavljevic, D., Hasani-Mavriqi, I., Lex, E., Strohmaier, M. & Helic, D., 1 Jan 2017, In : Studies in Computational Intelligence. 693, p. 385-395 11 p.

Research output: Contribution to journalArticleResearchpeer-review

Semantics

A review of related work on machine learning in semiconductor manufacturing and assembly lines

Stanisavljevic, D. & Spitzer, M., 2016.

Research output: Contribution to conference(Old data) Lecture or PresentationResearchpeer-review

A review of related work on machine learning in semiconductor manufacturing and assembly lines

Stanisavljevic, D. & Spitzer, M., 2016, SAMI 2016 - Science, Application and Methods in Industry 4.0: Proceedings of the 1st International Workshop on Science, Application and Methods in Industry 4.0 co-located with (i-KNOW 2016). 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Semantic Stability in Wikipedia

Stanisavljevic, D., Mavriqi-Hasani, I., Lex, E., Strohmaier, M. & Helic, D., 30 Nov 2016, Complex Networks & Their Applications V: Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016). Springer International Publishing AG , p. 379-390

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review