3 papers
cs.LG2025
Mind the Gaps: Measuring Visual Artifacts in Dimensionality Reduction
Jaume Ros, Alessio Arleo, Fernando Paulovich
Dimensionality Reduction (DR) techniques are commonly used for the visual exploration and analysis of high-dimensional data due to their ability to project datasets of high-dimensi…
cs.HC2025
Reflections on the Use of Dashboards in the Covid-19 Pandemic
Alessio Arleo, Rita Borgo, Jörn Kohlhammer +3
Dashboards have arguably been the most used visualizations during the COVID-19 pandemic. They were used to communicate its evolution to national governments for disaster mitigation…
cs.LG2024
When Dimensionality Reduction Meets Graph (Drawing) Theory: Introducing a Common Framework, Challenges and Opportunities
Fernando Paulovich, Alessio Arleo, Stef van den Elzen
In the vast landscape of visualization research, Dimensionality Reduction (DR) and graph analysis are two popular subfields, often essential to most visual data analytics setups. D…