12 citations · 27 across the 7 of their papers we have counts for
5 papers · 1 filter
ExplorerTree: a focus+context exploration approach for 2D embeddings
Wilson E. Marcílio-Jr, Danilo M. Eler, Fernando V. Paulovich +2
In exploratory tasks involving high-dimensional datasets, dimensionality reduction (DR) techniques help analysts to discover patterns and other useful information. Although scatter…
HUMAP: Hierarchical Uniform Manifold Approximation and Projection
Wilson E. Marcílio-Jr, Danilo M. Eler, Fernando V. Paulovich +1
Dimensionality reduction (DR) techniques help analysts to understand patterns in high-dimensional spaces. These techniques, often represented by scatter plots, are employed in dive…
Explaining dimensionality reduction results using Shapley values
Wilson Estécio Marcílio Júnior, Danilo Medeiros Eler
Dimensionality reduction (DR) techniques have been consistently supporting high-dimensional data analysis in various applications. Besides the patterns uncovered by these technique…
Contrastive analysis for scatterplot-based representations of dimensionality reduction
Wilson E. Marcílio-Jr, Danilo M. Eler, Rogério E. Garcia
Cluster interpretation after dimensionality reduction (DR) is a ubiquitous part of exploring multidimensional datasets. DR results are frequently represented by scatterplots, where…
Model-agnostic interpretation by visualization of feature perturbations
Wilson E. Marcílio-Jr, Danilo M. Eler, Fabrício Breve
Interpretation of machine learning models has become one of the most important research topics due to the necessity of maintaining control and avoiding bias in these algorithms. Si…