Deep learning (DL) models have achieved impressive performance in various domains such
as medicine, finance, and autonomous vehicle systems with advances in computing power …

We present the preliminary design and results of QVis, a visual analytics tool for exploring
quantum device performance data. QV is helps uncover temporal and multivariate variations …

Prediction models are being used more and more widely in many sectors. FinTech
(Financial Technology) is not an exception. Many problems in FinTech can be considered …

The use of Autonomous Surface Vessels (ASVs) is growing rapidly. For safe and efficient
surface auto-driving, a reliable perception system is crucial. Such systems allow the vessels …

This paper introduces an interactive visualization interface with a machine learning
consensus analysis that enables the researchers to explore the impact of atmospheric and …

Abstract The analysis of Cultural Heritage (CH) artefacts is an important task in the Digital
Humanities. Increasingly, rich CH artefact data comprising metadata of different modalities …

Spatiotemporal visual analysis research is rapidly emerging and evolving, as scientists
engaging in cross-domain research efforts, introducing novel systems to perform data-driven …

The authors of a selection of visualization-related articles from Computers & Graphics and
Graphics and Visual Computing will present their work in a special at this years EuroVis …

The MetOcean dataset, with its spatio-temporal and multidimensional nature, presents a
significant challenge for insight extraction. To overcome this, we propose an automated data …

In this paper, we present the reV (Renewable Energy Potential) Dashboard, an interactive
browser-based tool for uncertainty visualization and data exploration built using customized …