Leonardo Tomazeli Duarte

About Leonardo Tomazeli Duarte

Leonardo Tomazeli Duarte, With an exceptional h-index of 17 and a recent h-index of 11 (since 2020), a distinguished researcher at Universidade Estadual de Campinas, specializes in the field of Machine Learning, Signal Processing, Decision Sciences, Source Separation, Unsupervised learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings

A novel unsupervised capacity identification approach to deal with redundant criteria in multicriteria decision making problems

A semi-supervised multi-criteria sorting approach to constructing social vulnerability composite indicators

A novel approach for Fair Principal Component Analysis based on eigendecomposition

UTASTAR-T: uma nova abordagem para análise de preferências baseada em características de séries temporais associadas a critérios

Robust Principal Component Analysis Techniques for Ground Scene Estimation in SAR Imagery

Exploiting temporal features in multicriteria decision analysis by means of a tensorial formulation of the TOPSIS method

Multicriteria decision support employing adaptive prediction in a tensor-based feature representation

Leonardo Tomazeli Duarte Information

University

Position

Professor at (UNICAMP)

Citations(all)

1151

Citations(since 2020)

562

Cited By

811

hIndex(all)

17

hIndex(since 2020)

11

i10Index(all)

37

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Leonardo Tomazeli Duarte Skills & Research Interests

Machine Learning

Signal Processing

Decision Sciences

Source Separation

Unsupervised learning

Top articles of Leonardo Tomazeli Duarte

Title

Journal

Author(s)

Publication Date

Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings

arXiv preprint arXiv:2402.10122

Betania Silva C Campello

Guilherme Dean Pelegrina

Renata Pelissari

Ricardo Suyama

Leonardo Tomazeli Duarte

2024/2/15

A novel unsupervised capacity identification approach to deal with redundant criteria in multicriteria decision making problems

Authorea Preprints

Guilherme Dean Pelegrina

Leonardo Tomazeli Duarte

2024/2/14

A semi-supervised multi-criteria sorting approach to constructing social vulnerability composite indicators

Annals of Operations Research

Renata Pelissari

Sarah Ben Amor

Álvaro de Oliveira D’Antona

Eduardo José Marandola Júnior

Leonardo Tomazeli Duarte

2024/3/9

A novel approach for Fair Principal Component Analysis based on eigendecomposition

IEEE Transactions on Artificial Intelligence

Guilherme Dean Pelegrina

Leonardo Tomazeli Duarte

2023/7/24

UTASTAR-T: uma nova abordagem para análise de preferências baseada em características de séries temporais associadas a critérios

Betania Campello

João Marcos Travassos Romano

Leonardo Tomazeli Duarte

2023

Robust Principal Component Analysis Techniques for Ground Scene Estimation in SAR Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Lucas P Ramos

Dimas I Alves

Leonardo T Duarte

Mats I Pettersson

Renato Machado

2023/10/16

Exploiting temporal features in multicriteria decision analysis by means of a tensorial formulation of the TOPSIS method

Computers & Industrial Engineering

Betania Silva Carneiro Campello

Leonardo Tomazeli Duarte

João Marcos Travassos Romano

2023/1/1

Multicriteria decision support employing adaptive prediction in a tensor-based feature representation

Pattern Recognition Letters

Betania Silva Carneiro Campello

Leonardo Tomazeli Duarte

João Marcos Travassos Romano

2023/10/1

Interpreting the contribution of sensors in blind source extraction by means of Shapley values

IEEE Signal Processing Letters

Guilherme D Pelegrina

Leonardo T Duarte

Michel Grabisch

2023/7/14

Overview of Source Separation

Source Separation in Physical‐Chemical Sensing

Christian Jutten

Leonardo Tomazeli Duarte

Saïd Moussaoui

2023/12/11

Critical analysis of ai indicators in terms of weighting and aggregation approaches

Renata Pelissari

Betania Campello

Guilherme Dean Pelegrina

Ricardo Suyama

Leonardo Tomazeli Duarte

2023/9/25

Validation of a Maturity Model for Applied R&D: Adding Value to Business

IEEE Transactions on Engineering Management

Alvaro José Abackerli

Renata Pelissari

Leonardo Tomazeli Duarte

2023/6/9

Bayesian Source Separation

Source Separation in Physical‐Chemical Sensing

Saïd Moussaoui

Leonardo Tomazeli Duarte

Nicolas Dobigeon

Christian Jutten

2023/12/11

Using Sparse Autoencoders to Perform Blind Source Separation of High-Density Myoelectric Signal

Marcelo Ramos Romano

Leonardo Tomazeli Duarte

Leonardo Abdala Elias

2023/9/17

A statistical approach to detect sensitive features in a group fairness setting

arXiv preprint arXiv:2305.06994

Guilherme Dean Pelegrina

Miguel Couceiro

Leonardo Tomazeli Duarte

2023/5/11

A k-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning

Artificial Intelligence

Guilherme Dean Pelegrina

Leonardo Tomazeli Duarte

Michel Grabisch

2023/12/1

Improving preference disaggregation in multicriteria decision making: incorporating time series analysis and a multi-objective approach

arXiv preprint arXiv:2308.05259

Betania SC Campello

Sarah BenAmor

Leonardo T Duarte

João Marcos Travassos Romano

2023/8/9

Uma nova proposta para a regressão logística com base na integral de Choquet

Guilherme Dean Pelegrina

Leonardo Tomazeli Duarte

Michel Grabisch

2023

A statistical approach to detect disparity prone features in a group fairness setting

AI and Ethics

Guilherme Dean Pelegrina

Miguel Couceiro

Leonardo Tomazeli Duarte

2023/11/14

Identification of the Choquet integral parameters in the interaction index domain by means of sparse modeling

Expert Systems with Applications

Henrique Evangelista de Oliveira

Leonardo Tomazeli Duarte

João Marcos Travassos Romano

2022/1/1

See List of Professors in Leonardo Tomazeli Duarte University(Universidade Estadual de Campinas)

Co-Authors

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