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The aim of this paper is to investigate the use of oculography signals for the recognition of experts in visual arts. We focused our attention on the number of sight transitions between characteristic image areas (ROIs). In the experiments we used oculographic data recorded at the Department of Experimental Psychology at the Catholic University of Lublin for 29 images and 34 users. The EM method was...
Accurate and efficient assessment of barley quality is crucial for brewery industry. Currently, such the assessment is performed by a qualified expert, is expensive, time-consuming and may yield unreproducible results. We introduce a barley ontology (BO) to formalize the expert's knowledge and to involve information from industry standards. The BO specifies quality classes of malting barley, their...
Humans use intuition and experience to classify everything they perceive, but only if the distinguishing patterns are visible. Machine-learning algorithms can learn class information from data sets, but the created classes' meaning isn't always clear. A proposed mixed-initiative approach combines intuitive visualizations with machine learning to tap into the strengths of human and machine classification...
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