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

  • 19 Similar Profiles
algorithm Social Sciences
problem Social Sciences
Costs Engineering & Materials Science
learning Social Sciences
playing Social Sciences
strategy Social Sciences
method Social Sciences
optimization Social Sciences

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Grants 2014 2020

Research Output 2006 2016

  • 376 Citations
  • 10 Scopus h-Index
  • 25 Conference contribution
  • 13 Article

Analysing ratemyprofessors evaluations across institutions, disciplines, and cultures: The tell-tale signs of a good professor

Azab, M., Mihalcea, R. & Abernethy, J. 2016 Social Informatics - 8th International Conference, SocInfo 2016, Proceedings. Springer Verlag, Vol. 10046 LNCS, p. 438-453 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10046 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Students
Websites
Experiments

A market framework for eliciting private data

Waggoner, B., Frongillo, R. & Abernethy, J. 2015 In : Unknown Journal. 2015-January, p. 3510-3518 9 p.

Research output: Contribution to journalArticle

Privacy
Budgets
Purchasing

Fighting bandits with a new kind of smoothness

Abernethy, J., Lee, C. & Tewari, A. 2015 In : Unknown Journal. 2015-January, p. 2197-2205 9 p.

Research output: Contribution to journalArticle

Emotions
Hazards
Entropy

Financialized methods for market-based multi-sensor fusion

Abernethy, J. & Johnson-Roberson, M. Dec 11 2015 IROS Hamburg 2015 - Conference Digest: IEEE/RSJ International Conference on Intelligent Robots and Systems. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-December, p. 900-907 8 p. 7353478

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sensors
Fusion reactions
Sensor data fusion
Profitability
Financial markets
1 Citations

Low-cost learning via active data procurement

Abernethy, J., Chen, Y., Ho, C. J. & Waggoner, B. Jun 15 2015 EC 2015 - Proceedings of the 2015 ACM Conference on Economics and Computation. Association for Computing Machinery, Inc, p. 619-636 18 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Costs
Active learning
Procurement
Machine learning
Learning systems