Simulation-based optimization of user interfaces for quality-assuring machine learning model predictions
Quality-sensitive applications of machine learning (ML) require quality assurance (QA) by humans before the predictions of an ML model can be deployed. QA for ML (QA4ML) interfaces require users to view a large amount of data and perform many interactions to correct errors made by the ML model. An o...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Association for Computing Machinery
2024
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