5 papers
FADEx: Feature Attribution and Distortion-based Explanation of Dimensionality Reduction
Lucas Greff Meneses, Evandro S. Ortigossa, Claudio Silva +1
The paper introduces FADEx, a local per-instance feature attribution method that explains how individual features influence the placement of data points in any dimensionality reduc…
Visually Comparing Graph Vertex Ordering Algorithms through Geometrical and Topological Approaches
Karelia Salinas, Victor Barella, Thales Viera +1
Graph vertex ordering is widely employed in spatial data analysis, especially in urban analytics, where street graphs serve as spatial discretization for modeling and simulation. I…
ORDENA: ORigin-DEstiNAtion data exploration
Karelia Salinas, Victor Barella, André Luiz Cunha +3
Analyzing origin-destination flows is an important problem that has been extensively investigated in several scientific fields, particularly by the visualization community. The pro…
Enhancing Urban Data Exploration: Layer Toggling and Visibility-Preserving Lenses for Multi-Attribute Spatial Analysis
Karelia Salinas, Luis Gustavo Nonato, Jean-Daniel Fekete +1
We propose two novel interaction techniques for visualization-assisted exploration of urban data: Layer Toggling and Visibility-Preserving Lenses. Layer Toggling mitigates visual o…
Exploring Urban Factors with Autoencoders: Relationship Between Static and Dynamic Features
Ximena Pocco, Waqar Hassan, Karelia Salinas +2
Urban analytics utilizes extensive datasets with diverse urban information to simulate, predict trends, and uncover complex patterns within cities. While these data enables advance…