In this article, we perform an exhaustive analysis of the use of Artificial Neural Networks and
Deep Learning in the Visual Arts. We begin by introducing changes in Artificial Intelligence …

The presence of solar energy systems has increased significantly in recent years both in
rural areas–in the form of solar farms–, and in urban areas as part of building installations …

Aesthetics has been the subject of long-standing debates by philosophers and
psychologists alike. In psychology, it is generally agreed that aesthetic experience results …

Abstract Be it on Facebook, Twitter, or Instagram,“Like” buttons are all over social media
generating huge amounts of data. In this project, we develop methods for leveraging …

One of the goal of computational aesthetics is to understand what is special about visual
artworks. By analyzing image statistics, contemporary methods in computer vision enable …

Photographs of places are cognitive sources that provide the observer with a first, essential
impression of a potential tourist destination, before the observer visits that place. Recent …

With the understanding that art and technology are continuing to experience an historic and
rapidly intensifying rapprochement—but with the understanding as well that accounts …

Scene perception technology helps robots identify the target areas that people refer to so
that it contributes to human–robot interaction, semantic navigation and other related tasks …

The search for specific objects or motifs is essential to art history as both assist in decoding
the meaning of artworks. Digitization has produced large art collections, but manual …

The use of computational methods to evaluate aesthetics in photography has gained interest
in recent years due to the popularization of convolutional neural networks and the …