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Challenges in Evaluating Interactive Visual Machine Learning Systems.

IEEE Computer Graphics and Applications, no. 6 (2020): 88-96

Cited by: 0|Views43
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Abstract

In interactive visual machine learning (IVML), humans and machine learning algorithms collaborate to achieve tasks mediated by interactive visual interfaces. This human-in-the-loop approach to machine learning brings forth not only numerous intelligibility, trust, and usability issues, but also many open questions with respect to the eval...More

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