Vadim Liventsev

Doctoral Candidate, Department of Mathematics and Computer Science, Security W&I

Emailv.liventsev@tue.nl

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Text processing Engineering & Materials Science

Problem-Based Learning Engineering & Materials Science

Sampling Engineering & Materials Science

Processing Engineering & Materials Science

Uncertainty Engineering & Materials Science

Deep learning Engineering & Materials Science

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Research Output 2019 2019

1 Conference contribution

Active learning with deep pre-trained models for sequence tagging of clinical and biomedical texts

Liventsev, V., Shelmanov, A., Kireev, D., Khromov, N., Panchenko, A. & Dylov, D., 1 Oct 2019, (Accepted/In press) 2019 IEEE International Conference on Bioinformatics and Biomedicine. B645

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Text processing

Problem-Based Learning

Sampling

Processing

Uncertainty