Darko Stanisavljevic

20162019
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Fingerprint Dive into the research topics where Darko Stanisavljevic is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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3D printers Engineering & Materials Science
Learning systems Engineering & Materials Science
Feature extraction Engineering & Materials Science
Semantics Engineering & Materials Science
Sensors Engineering & Materials Science
Manufacturing process Business & Economics
Experimental study Business & Economics
Machine learning Business & Economics

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Research Output 2016 2019

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

Detection of interferences in an additive manufacturing process: an experimental study integrating methods of feature selection and machine learning

Stanisavljevic, D., Cemernek, D., Gursch, H., Urak, G. C. & Lechner, G. C., 27 Nov 2019, In : International Journal of Production Research. 2019, 57, 23 p.

Research output: Contribution to journalArticleResearchpeer-review

3D printers
Learning systems
Feature extraction
Sensors
Feature selection

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, 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

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