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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.LG2025
Why Can't I See My Clusters? A Precision-Recall Approach to Dimensionality Reduction Validation
Diede P. M. van der Hoorn, Alessio Arleo, Fernando V. Paulovich
Dimensionality Reduction (DR) is widely used for visualizing high-dimensional data, often with the goal of revealing expected cluster structure. However, such a structure may not a…
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…