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| Published in: | VFAST Transactions on Software Engineering |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1867301675275911170 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | VFAST Transactions on Software Engineering |
| description | |
| discipline_display | Software |
| discipline_facet | Software |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:58032 |
| institution | FRELIP |
| journal_source_facet | VFAST Transactions on Software Engineering |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Hybrid Convolutional Transformer Learning Utilizing Ordinal Sensitive Loss for Automated Grading of Diabetic Retinopathy Software General Software |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Software General Software Software General Software |
| subject_facet | Software General Software |
| title | Hybrid Convolutional Transformer Learning Utilizing Ordinal Sensitive Loss for Automated Grading of Diabetic Retinopathy |
| title_auth | Hybrid Convolutional Transformer Learning Utilizing Ordinal Sensitive Loss for Automated Grading of Diabetic Retinopathy |
| title_full | Hybrid Convolutional Transformer Learning Utilizing Ordinal Sensitive Loss for Automated Grading of Diabetic Retinopathy |
| title_fullStr | Hybrid Convolutional Transformer Learning Utilizing Ordinal Sensitive Loss for Automated Grading of Diabetic Retinopathy |
| title_full_unstemmed | Hybrid Convolutional Transformer Learning Utilizing Ordinal Sensitive Loss for Automated Grading of Diabetic Retinopathy |
| title_short | Hybrid Convolutional Transformer Learning Utilizing Ordinal Sensitive Loss for Automated Grading of Diabetic Retinopathy |
| title_sort | hybrid convolutional transformer learning utilizing ordinal sensitive loss for automated grading of diabetic retinopathy |
| topic | Software General Software |
| url | https://vfast.org/journals/index.php/VTSE/article/view/2344 |