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In this paper, we are dealing with the automatic inclusion of new event types in visual inspection systems. Within the context of image classification for recognizing "OK" and "not OK" parts, a certain event can be directly associated with a class, as events are usually independent and disjoint from each other. In this sense, we are dealing with the problem of integrating a new...
While machine learning is most often concerned with learning from humans, the fact that human behavior systematically differs for (groups of) people with different gender, age, education or cultural background is widely ignored. Obviously, such differences are reflected in the training humans provide to machine learning algorithms that in turn affects the induced models. A coherent set of experiment...
Among manufacturing companies there is a wide-spread consensus that women are better suited to perform visual quality inspection, having higher endurance and making decisions with better reproducibility. Up to now gender-differences in visual inspection decision making have not been thoroughly investigated. We propose a machine learning approach to model male and female decisions with classifiers...
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