Computational Creativity is a multidisciplinary field that tries to obtain creative behaviors
from computers. One of its most prolific subfields is that of Music Generation (also called …

The swelling use of computerized learning, accompanied by the rapid growth of information
technology has become a surge of interest in the research community. Consequently …

Visual aesthetics are related to a broad range of communication and psychological
outcomes, yet the tools of computational aesthetic analysis are not widely available in the …

In this paper, we report on the creation of a publicly available, common evaluation
framework for image and video visual interestingness prediction. We propose a robust data …

Generative AI (GenAI) has spurred the expectation of being creative, due to its ability to
generate content, yet so far, its creativity has somewhat disappointed, because it is trained …

Understanding of video creativity and content often varies among individuals, with
differences in focal points and cognitive levels across different ages, experiences, and …

Autonomous robots frequently need to detect “interesting” scenes to decide on further
exploration, or to decide which data to share for cooperation. These scenarios often require …

Social media have been widely exploited to detect and gather relevant information about
opinions and events. However, the relevance of the information is very subjective and rather …

Graphs has been a ubiquitous way of representing heterogeneous data. There are many
studies focused on graph learning highlighting the approaches for graph data extraction …

Wikipedia is the largest source of free encyclopedic knowledge and one of the most visited
sites on the Web. To increase reader understanding of the article, Wikipedia editors add …