1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
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…
MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations
Parikshit Solunke, Vitoria Guardieiro, Joao Rulff +5
With the increasing use of black-box Machine Learning (ML) techniques in critical applications, there is a growing demand for methods that can provide transparency and accountabili…
Calibrate: Interactive Analysis of Probabilistic Model Output
Peter Xenopoulos, Joao Rulff, Luis Gustavo Nonato +2
Analyzing classification model performance is a crucial task for machine learning practitioners. While practitioners often use count-based metrics derived from confusion matrices,…