Commit f0b2766c authored by Aldo Von Wangenheim's avatar Aldo Von Wangenheim
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Update README.md

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![banner cnns ppgcc ufsc](http://www.lapix.ufsc.br/wp-content/uploads/2019/04/VC2.png)
Visual aesthetics is seen as an essential factor of usability, interaction, and the appraisal of user interfaces, especially with respect to mobile applications.
Recently, machine learning approaches have shown great promise in being able to predict visual aesthetics. First solutions for the automatic assessment of visual aesthetics are focusing on web user interfaces only. Therefore, we present a deep learning approach to automatically quantify the visual aesthetics of Android mobile user interfaces (MUIs) adopting a regression-based approach.
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