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Synthetic outlier generation for anomaly detection in autonomous driving
Anomaly detection, or outlier detection, is a crucial task in various domains to identify instances that significantly deviate from established patterns or the majority of data.
Quantitative analysis of robot gesticulation behavior
Social robot capabilities, such as talking gestures, are best produced using data driven approaches to avoid being repetitive and to show trustworthiness.
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