Deep Learning Applied to Chest Radiograph Classification—A COVID-19 Pneumonia Experience by Adhvan Furtado, Leandro Andrade, Diego Frias, Thiago Maia, Roberto Badaró, Erick G. Sperandio Nascimento

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Context-Based Patterns in Machine Learning Bias and Fairness Metrics: A Sensitive Attributes-Based Approach by Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Gustavo O. R. Cruz, Rodrigo M. Peixoto, Guilherme A. de Sousa Guimarães, Ewerton L. S. Oliveira, Ingrid Winkler, Erick G. Sperandio Nascimento

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Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods by Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Rodrigo M. Peixoto, Guilherme A. S. Guimarães, Gustavo O. R. Cruz, Maira M. Araujo, Lucas L. Santos, Marco A. S. Cruz, Ewerton L. S. Oliveira, Ingrid Winkler, Erick G. S. Nascimento

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Remote Heart Rate Prediction in Virtual Reality Head-Mounted Displays Using Machine Learning Techniques by Tiago Palma Pagano, Lucas Lisboa dos Santos, Victor Rocha Santos, Paulo H. Miranda Sá, Yasmin da Silva Bonfim, José Vinicius Dantas Paranhos, Lucas Lemos Ortega, Lian F. Santana Nascimento, Alexandre Santos, Maikel Maciel Rönnau, Ingrid Winkler, Erick G. Sperandio Nascimento

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