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Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Interactive Visual Explanation of Incremental Data Labeling |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
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| Event Title | EuroVis Workshop on Visual Analytics (EuroVA) |
| Event Type | workshop |
| Event Location | Rome, Italy |
| Event Start Date | June 13 - 2022 |
| Event End Date | June 17 - 2022 |
| Publisher | Eurographics Association |
| Abstract Text | We present a visual analytics approach for the in-depth analysis and explanation of incremental machine learning processes that are based on data labeling. Our approach offers multiple perspectives to explain the process, i.e., data characteristics, label distribution, class characteristics, and classifier characteristics. Additionally, we introduce metrics from which we derive novel aggregated analytic views that enable the analysis of the process over time. We demonstrate the capabilities of our approach in a case study and thereby demonstrate how our approach improves the transparency of the iterative learning process. |
| Digital Object Identifier | 10.2312/eurova.20221073 |
| Other Identification Number | merlin-id:23096 |
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