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: A shapley-based visual analytics approach to interpret traffic
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| Published in: | Computational Visual Media |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1864030188509069312 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Computational Visual Media |
| description | |
| discipline_display | Technology & Engineering |
| discipline_facet | Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:26001 |
| institution | FRELIP |
| journal_source_facet | Computational Visual Media |
| publishDate | 2024 |
| publishDateSort | 2024 |
| record_format | rss_article |
| spellingShingle | : A shapley-based visual analytics approach to interpret traffic Instruments Measurement and Sensors Technology & Engineering — Aerospace & Applied Tech Technology & Engineering |
| sub_discipline_display | Technology & Engineering — Aerospace & Applied Tech |
| sub_discipline_facet | Technology & Engineering — Aerospace & Applied Tech |
| subject_display | Instruments Measurement and Sensors Technology & Engineering — Aerospace & Applied Tech Technology & Engineering Instruments Measurement and Sensors Technology & Engineering — Aerospace & Applied Tech Technology & Engineering |
| subject_facet | Instruments Measurement and Sensors Technology & Engineering — Aerospace & Applied Tech Technology & Engineering |
| title | : A shapley-based visual analytics approach to interpret traffic |
| title_auth | : A shapley-based visual analytics approach to interpret traffic |
| title_full | : A shapley-based visual analytics approach to interpret traffic |
| title_fullStr | : A shapley-based visual analytics approach to interpret traffic |
| title_full_unstemmed | : A shapley-based visual analytics approach to interpret traffic |
| title_short | : A shapley-based visual analytics approach to interpret traffic |
| title_sort | : a shapley-based visual analytics approach to interpret traffic |
| topic | Instruments Measurement and Sensors Technology & Engineering — Aerospace & Applied Tech Technology & Engineering |
| url | https://link.springer.com/article/10.1007/s41095-023-0351-7 |