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Finding Patterns in Visualized Data by Adding Redundant Visual Information
We present "PATRED", a technique that uses the addition of redundant information to facilitate the detection of specific, generally described patterns in line-charts during the visual exploration of the charts.
Visual Analytics and Human Involvement in Machine Learning
The rapidly developing AI systems and applications still require human involvement in practically all parts of the analytics process.
The Responsibility Quantification (ResQu) Model of Human Interaction with Automation
Despite these limitations, it can aid in the analysis of systems designs alternatives and policy decisions regarding human responsibility in intelligent systems and advanced automation.
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