Characterizing Quantum Classifier Utility in Natural Language Processing Workflows-Reference-Cited by-同舟云学术

Characterizing Quantum Classifier Utility in Natural Language Processing Workflows

Published:2023-09-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Quantum Computing and Engineering (QCE)
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Author:

Hamilton Kathleen¹,Shekar Mayanka Chandra¹,Gounley John¹,Bharadwaj Dhanvi²,Date Prasanna³,Pérez Eduardo Antonio Coello⁴,Suh In-Saeng⁴,Tourassi Georgia⁴

Affiliation:

1. Oak Ridge National Laboratory,Computational Science and Engineering Division,Oak Ridge,TN,USA,37830

2. University of Wisconsin-Madison,Department of Physics,Madison,WI,USA,53706

3. Oak Ridge National Laboratory,Computational Science and Mathematics Division,Oak Ridge,TN,USA,37830

4. National Center for Computational Sciences,Oak Ridge National Laboratory,Oak Ridge,TN,USA,37830

Funder

Oak Ridge National Laboratory

Office of Science

U.S. Department of Energy

National Nuclear Security Administration

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10313590/10313594/10313712.pdf?arnumber=10313712

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4. A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification

5. Scikit-learn: Machine learning in Python;pedregosa;Journal of Machine Learning Research,2011

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