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cs.LG2021
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…
cs.LG2021
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…