49 citations · 61 across the 8 of their papers we have counts for
5 papers · 1 filter
XALIGN: A Human-centric Visual Analytics Approach to Understanding AI Explanations
Bahavathy Kathirgamanathan, Gennady Andrienko, Natalia Andrienko +1
Explainable AI (XAI) methods are usually evaluated for technical properties such as faithfulness and robustness. In high-stakes application domains, experts also need to check mode…
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…
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…
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…
ATWL: A Formal Language for Representing, Comparing, and Reusing Visual Analytics Workflows
Natalia Andrienko, Gennady Andrienko, Jürgen Bernard +2
Visual analytics (VA) workflows combine data transformation, feature computation, visual representation, and human interpretation, but they are usually described in prose. This hin…