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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.

  • 20 Similar Profiles
Industry Engineering & Materials Science
Lithography Engineering & Materials Science
Problem-Based Learning Engineering & Materials Science
Semiconductor materials Engineering & Materials Science

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Research Output 2019 2019

  • 1 Citations
  • 1 Conference contribution
1 Citation (Scopus)

Improving model inference in industry by combining active and passive learning

Yang, N., Aslam, K., Schiffelers, R. R. H., Lensink, L., Hendriks, D., Cleophas, L. G. W. A. & Serebrenik, A., 15 Mar 2019, 26th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2019). Shihab, E., Lo, D. & Wang, X. (eds.). Piscataway: Institute of Electrical and Electronics Engineers (IEEE), p. 253-263 11 p. 8668007

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

Industry
Lithography
Problem-Based Learning
Semiconductor materials

Student theses

Combining model learning results for interface protocol inference

Author: Yang, N., 23 Apr 2018

Supervisor: Serebrenik, A. (Supervisor 1), Schiffelers, R. (Supervisor 2) & Aslam, K. (Supervisor 2)

Student thesis: Master

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