: User interfaces to WWW search engines typically present results as ranked lists of documents. Such lists give users little help in understanding document variation: we propose a ...
Ivan Bretan, Johan Dewe, Anders Hallberg, Niklas W...
Prior use of machine learning in genre classification used a list of labels as classification categories. However, genre classes are often organised into hierarchies, e.g., coveri...
This paper presents results in automated genre classification of digital documents in PDF format. It describes genre classification as an important ingredient in contextualising s...
The field of automatic genre classification has primarily focused on extracting textual features from documents. The goal of this research is to investigate whether visual feature...
Detecting artists that can be considered as prototypes for particular genres or styles of music is an interesting task. In this paper, we present an approach that ranks artists ac...