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Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular Risk Communication
Cardiovascular diseases (CVDs), the leading cause of death worldwide, can be prevented in most cases through behavioral interventions.
AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models
To validate AHMoSe, we describe a use case scenario in the viticulture domain, grape quality prediction, where the system enables users to diagnose and select prediction models that perform better.
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