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

  • 3 Similar Profiles
Accelerometers Engineering & Materials Science
Charging (batteries) Engineering & Materials Science
Semantics Engineering & Materials Science
Wireless local area networks (WLAN) Engineering & Materials Science
Mobile phones Engineering & Materials Science
Sensors Engineering & Materials Science
Classifiers Engineering & Materials Science
Mobile computing Engineering & Materials Science

Research Output 2011 2016

  • 4 Conference contribution
  • 2 Paper

Generating Tailored Classification Schemas for German Patents

Pimas, O., Klampfl, S., Kohl, T., Kern, R. & Kröll, M., 2016, International Conference on Applications of Natural Language to Information Systems .

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

Profiling Microblog Authors using Concreteness and Sentiment: Know-Center at PAN 2016 Author Profiling

Pimas, O., Rexha, A., Kröll, M. & Kern, R., 2016.

Research output: Contribution to conferencePaperResearchpeer-review

Know-Center at PAN 2015 Author Identification

Pimas, O., Kröll, M. & Kern, R., 8 Sep 2015.

Research output: Contribution to conferencePaperResearchpeer-review

Where am I? Using mobile sensor data to predict a user’s semantic place with a random forest algorithm

Lex, E., Pimas, O., Simon, J. & Pammer-Schindler, V., 1 Jan 2013, Mobile and Ubiquitous Systems: Computing, Networking, and Services - 9th International Conference, MobiQuitous 2012, Revised Selected Papers. Jiang, H., Zheng, K. & Li, M. (eds.). Springer Verlag Heidelberg, p. 64-75 12 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; vol. 120).

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

Accelerometers
Charging (batteries)
Semantics
Wireless local area networks (WLAN)
Mobile phones

Where am I? Using mobile sensor data to predict a user's semantic place with a random forest algorithm

Lex, E., Pimas, O., Simon, J. & Pammer-Schindler, V., 2012, (Accepted/In press) International Conference on Mobile and Ubiquitous Systems:Computing, Networking and Services. .

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