DML-PL: Deep metric learning based pseudo-labeling framework for class imbalanced semi-supervised learning
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Format: | Article in Journal/Newspaper |
Language: | English |
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Elsevier BV
2023
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Online Access: | http://dx.doi.org/10.1016/j.ins.2023.01.074 https://api.elsevier.com/content/article/PII:S0020025523000749?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0020025523000749?httpAccept=text/plain |
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crelsevierbv:10.1016/j.ins.2023.01.074 2023-09-26T15:17:33+02:00 DML-PL: Deep metric learning based pseudo-labeling framework for class imbalanced semi-supervised learning Yan, Mi Hui, Siu Cheung Li, Ning National Natural Science Foundation of China China Scholarship Council 2023 http://dx.doi.org/10.1016/j.ins.2023.01.074 https://api.elsevier.com/content/article/PII:S0020025523000749?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0020025523000749?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ https://doi.org/10.15223/policy-017 https://doi.org/10.15223/policy-037 https://doi.org/10.15223/policy-012 https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-004 Information Sciences volume 626, page 641-657 ISSN 0020-0255 Artificial Intelligence Information Systems and Management Computer Science Applications Theoretical Computer Science Control and Systems Engineering Software journal-article 2023 crelsevierbv https://doi.org/10.1016/j.ins.2023.01.074 2023-08-31T22:57:02Z Article in Journal/Newspaper DML ScienceDirect (Elsevier - via Crossref) Information Sciences 626 641 657 |
institution |
Open Polar |
collection |
ScienceDirect (Elsevier - via Crossref) |
op_collection_id |
crelsevierbv |
language |
English |
topic |
Artificial Intelligence Information Systems and Management Computer Science Applications Theoretical Computer Science Control and Systems Engineering Software |
spellingShingle |
Artificial Intelligence Information Systems and Management Computer Science Applications Theoretical Computer Science Control and Systems Engineering Software Yan, Mi Hui, Siu Cheung Li, Ning DML-PL: Deep metric learning based pseudo-labeling framework for class imbalanced semi-supervised learning |
topic_facet |
Artificial Intelligence Information Systems and Management Computer Science Applications Theoretical Computer Science Control and Systems Engineering Software |
author2 |
National Natural Science Foundation of China China Scholarship Council |
format |
Article in Journal/Newspaper |
author |
Yan, Mi Hui, Siu Cheung Li, Ning |
author_facet |
Yan, Mi Hui, Siu Cheung Li, Ning |
author_sort |
Yan, Mi |
title |
DML-PL: Deep metric learning based pseudo-labeling framework for class imbalanced semi-supervised learning |
title_short |
DML-PL: Deep metric learning based pseudo-labeling framework for class imbalanced semi-supervised learning |
title_full |
DML-PL: Deep metric learning based pseudo-labeling framework for class imbalanced semi-supervised learning |
title_fullStr |
DML-PL: Deep metric learning based pseudo-labeling framework for class imbalanced semi-supervised learning |
title_full_unstemmed |
DML-PL: Deep metric learning based pseudo-labeling framework for class imbalanced semi-supervised learning |
title_sort |
dml-pl: deep metric learning based pseudo-labeling framework for class imbalanced semi-supervised learning |
publisher |
Elsevier BV |
publishDate |
2023 |
url |
http://dx.doi.org/10.1016/j.ins.2023.01.074 https://api.elsevier.com/content/article/PII:S0020025523000749?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0020025523000749?httpAccept=text/plain |
genre |
DML |
genre_facet |
DML |
op_source |
Information Sciences volume 626, page 641-657 ISSN 0020-0255 |
op_rights |
https://www.elsevier.com/tdm/userlicense/1.0/ https://doi.org/10.15223/policy-017 https://doi.org/10.15223/policy-037 https://doi.org/10.15223/policy-012 https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-004 |
op_doi |
https://doi.org/10.1016/j.ins.2023.01.074 |
container_title |
Information Sciences |
container_volume |
626 |
container_start_page |
641 |
op_container_end_page |
657 |
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1778139037226237952 |