2 citations · 2 across the 2 of their papers we have counts for
4 papers
Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings
Betania Silva C Campello, Guilherme Dean Pelegrina, Renata Pelissari +2
Countries worldwide have been implementing different actions national strategies for Artificial Intelligence (AI) to shape policy priorities and guide their development concerning…
Multicriteria decision support employing adaptive prediction in a tensor-based feature representation
Betania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
Multicriteria decision analysis (MCDA) is a widely used tool to support decisions in which a set of alternatives should be ranked or classified based on multiple criteria. Recent s…
A statistical approach to detect sensitive features in a group fairness setting
Guilherme Dean Pelegrina, Miguel Couceiro, Leonardo Tomazeli Duarte
The use of machine learning models in decision support systems with high societal impact raised concerns about unfair (disparate) results for different groups of people. When evalu…
A novel approach for Fair Principal Component Analysis based on eigendecomposition
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte
Principal component analysis (PCA), a ubiquitous dimensionality reduction technique in signal processing, searches for a projection matrix that minimizes the mean squared error bet…