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cs.HC2026
Understanding How Humans Inject Knowledge into Machine Learning Workflows through Visual Analytics
Yiwen Xing, Philip Beaucamp, Joyraj Chakraborty +6
Visual analytics (VA) plays an increasingly important role in supporting machine learning (ML) workflows. In the field of visualization, such approaches and techniques are referred…
cs.HC2026
From Idea to Prototype in an Afternoon: Scaffolded, AI-Assisted Rapid VA Prototyping
Gennady Andrienko, Natalia Andrienko
Testing a new visual-analytics idea usually takes months: one needs to find a realistic data set, clean it, and implement an interactive prototype. We describe a case where a workf…
cs.HC2026
SmartIterator: Visual Analytics Workflows for Supervising Unsupervised Data Grouping
Gennady Andrienko, Natalia Andrienko
Unsupervised learning methods -- topic modeling, partition-based and density-based clustering -- produce data groupings without human guidance, yet choosing and evaluating those gr…