30 citations · 56 across the 14 of their papers we have counts for
14 papers
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 -additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch
Besides accuracy, recent studies on machine learning models have been addressing the question on how the obtained results can be interpreted. Indeed, while complex machine learning…
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…
An unsupervised capacity identification approach based on Sobol' indices
Guilherme D. Pelegrina, Leonardo T. Duarte, Michel Grabisch +1
In many ranking problems, some particular aspects of the addressed situation should be taken into account in the aggregation process. An example is the presence of correlations bet…
Muticriteria decision making based on independent component analysis: A preliminary investigation considering the TOPSIS approach
Guilherme D. Pelegrina, Leonardo T. Duarte, João M. T. Romano
This work proposes the application of independent component analysis to the problem of ranking different alternatives by considering criteria that are not necessarily statistically…
A study of the Multicriteria decision analysis based on the time-series features and a TOPSIS method proposal for a tensorial approach
Betania S. C. Campello, Leonardo T. Duarte, João M. T. Romano
A number of Multiple Criteria Decision Analysis (MCDA) methods have been developed to rank alternatives based on several decision criteria. Usually, MCDA methods deal with the crit…
Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization
Guilherme D. Pelegrina, Renan D. B. Brotto, Leonardo T. Duarte +2
In dimensionality reduction problems, the adopted technique may produce disparities between the representation errors of different groups. For instance, in the projected space, a s…
Identification of Choquet capacity in multicriteria sorting problems through stochastic inverse analysis
Renata Pelissari, Leonardo Tomazeli Duarte
In multicriteria decision aiding (MCDA), the Choquet integral has been used as an aggregation operator to deal with the case of interacting decision criteria. While the application…
Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problems
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte, João Marcos Travassos Romano
A vast number of multicriteria decision making methods have been developed to deal with the problem of ranking a set of alternatives evaluated in a multicriteria fashion. Very ofte…
Application of multi-objective optimization to blind source separation
Guilherme Dean Pelegrina, Romis Attux, Leonardo Tomazeli Duarte
Several problems in signal processing are addressed by expert systems which take into account a set of priors on the sought signals and systems. For instance, blind source separati…
A Multi-Objective Approach for Post-Nonlinear Source Separation and its Application to Ion-Selective Electrodes
Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte
Blind source separation (BSS) methods have been applied to deal with the lack of selectivity of ion-selective electrodes (ISE). In this paper, differently from the standard BSS sol…
An outranking Choquet integral formulation for multi-criteria sorting problems with heterogeneous scales: an extension of FlowSort for interacting criteria
Renata Pelissari, Leonardo Tomazeli Duarte
In multi-criteria decision aiding, the Choquet integral has been used as an aggregation operator to deal with interacting criteria, having as a requirement a prior assumption of co…
A novel low-rank matrix completion approach to estimate missing entries in Euclidean distance matrices
Nilson Moreira, Leonardo Duarte, Carlile Lavor +1
A Euclidean Distance Matrix (EDM) is a table of distance-square between points on a k- dimensional Euclidean space, with applications in many fields (e.g. engineering, geodesy, eco…