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Josef Suschnigg

BSc, Dipl.-Ing.

20182019
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Fingerprint Dive into the research topics where Josef Suschnigg is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Learning systems Engineering & Materials Science
Learning algorithms Engineering & Materials Science
Data mining Engineering & Materials Science
Feature extraction Engineering & Materials Science
Manufacturing Business & Economics
Machine breakdown Business & Economics
Machine learning Business & Economics
Learning methods Business & Economics

Research Output 2018 2019

  • 2 Conference contribution
  • 1 Conference article

Cognitive Decision Support for Industrial Product Life Cycles: A Position Paper

Thalmann, S., Gursch, H. G., Suschnigg, J., Gashi, M., Ennsbrunner, H., Fuchs, A. K., Schreck, T., Mutlu, B., Mangler, J., Kappl, G., Huemer, C. & Lindstaedt, S., 5 May 2019, COGNITIVE 2019: The Eleventh International Conference on Advanced Cognitive Technologies and Applications. Venice: IARIA, Vol. 11. p. 3 - 9 7 p.

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

Log-based predictive maintenance in discrete parts manufacturing

Gutschi, C., Furian, N., Suschnigg, J., Neubacher, D. & Vössner, S., 2019, In : Procedia CIRP. 79, p. 528-533 6 p.

Research output: Contribution to journalConference articleResearchpeer-review

Open Access
Learning systems
Learning algorithms
Data mining
Feature extraction
Manufacturing

Data Analytics for Industrial Process Improvement - A Vision Paper

Thalmann, S., Mangler, J., Schreck, T., Huemer, C., Streit, M., Pauker, F., Weichhart, G., Schulte, S., Kittl, C., Pollak, C., Vukovic, M., Kappel, G., Gashi, M., Rinderle-Ma, S., Suschnigg, J., Jekic, N. & Lindstaedt, S., 1 Jul 2018, IEEE Conf. on Business Informatics, Workshop on Business Analytics in Practice and Applied Research. Vol. 02. p. 92-96 5 p.

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