VNU-UET Repository: No conditions. Results ordered -Date Deposited.
https://eprints.uet.vnu.edu.vn/eprints/
1. This is a multi-institution subject-based repository.
2. Subject Specialities:
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(d) Physics and Astronomy
(e) Technology General
(f) Computers and IT
(g) Electrical and Electronic Engineering
(h) Mechanical Engineering and Materials
3. The repository is restricted to:
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(c) Conference and workshop papers
(d) Theses and dissertations
(e) Unpublished reports and working papers
(f) Books, chapters and sections
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4. Deposited items may include:
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(b) submitted versions (as sent to journals for peer-review)
(c) accepted versions (author's final peer-reviewed drafts)
(d) published versions (publisher-created files)
5. Items are individually tagged with:
(a) their version type and date.
(b) their peer-review status.
(c) their publication status.
6. Principal Languages: English; Vietnamese; French
Fri, 29 Mar 2024 17:21:03 +0700Fri, 29 Mar 2024 17:21:03 +0700en C-KPCA: Custom Kernel PCA for Cancer Classification
https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1941/
Ha, Van Sang and Nguyen, Ha Nam (2016) C-KPCA: Custom Kernel PCA for Cancer Classification. In: Machine Learning and Data Mining in Pattern Recognition. Springer International Publishing, pp. 459-467. ISBN 978-3-319-41919-0 FRFE: Fast Recursive Feature Elimination for Credit Scoring
https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1939/
Ha, Van Sang and Nguyen, Ha Nam (2016) FRFE: Fast Recursive Feature Elimination for Credit Scoring. In: International Conference on Nature of Computation and Communication, 2016. A Novel Credit Scoring Prediction Model based on Feature Selection Approach and Parallel Random Forest
https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1942/
Ha, Van Sang and Nguyen, Ha Nam and Nguyen, Duc Nhan (2016) A Novel Credit Scoring Prediction Model based on Feature Selection Approach and Parallel Random Forest. Indian Journal of Science and Technology, 9 (20). Phương pháp trích trọn đặc trưng hiệu quả cho dữ liệu có số chiều lớn
https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1522/
Ha, Van Sang (2016) Phương pháp trích trọn đặc trưng hiệu quả cho dữ liệu có số chiều lớn. In: SW4PHD: the 2016 Scientific Workshop for PhD Students, 26 March 2016, Hanoi.