After decades of digitization, large cultural heritage collections have emerged on the web,
which contain massive stocks of content from galleries, libraries, archives, and museums …

Abstract Information visualization (InfoVis), the study of transforming data, information, and
knowledge into interactive visual representations, is very important to users because it …

The considerable previous work characterizing visualization usage has focused on low-level
tasks or interactions and high-level tasks, leaving a gap between them that is not addressed …

Recurrent neural networks (RNNs) have been successfully applied to various natural
language processing (NLP) tasks and achieved better results than conventional methods …

Deep neural networks are now rivaling human accuracy in several pattern recognition
problems. Compared to traditional classifiers, where features are handcrafted, neural …

Visual analytics employs interactive visualizations to integrate users' knowledge and
inference capability into numerical/algorithmic data analysis processes. It is an active …

Visual analytics usually deals with complex data and uses sophisticated algorithmic, visual,
and interactive techniques supporting the analysis. Findings and results of the analysis often …

Sets comprise a generic data model that has been used in a variety of data analysis
problems. Such problems involve analysing and visualizing set relations between multiple …

Bibliographic data such as collections of scientific articles and citation networks have been
studied extensively in information visualization and visual analytics research. Powerful …

A variety of data analysis problems can be modelled by defining multiple sets over a
collection of elements and analyzing the relations between these sets. Despite their simple …