Fernanda Vitoria Nascimento Lisboa

According to our database, Fernanda Vitoria Nascimento Lisboa authored at least 4 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Correlation-based methods for representative fairness metric selection: An empirical study on efficiency and caveats in model evaluation.

Rafael Bessa Loureiro, Tiago Palma Pagano, Fernanda Vitoria Nascimento Lisboa, Lian Filipe Santana Nascimento, Ewerton Lopes Silva de Oliveira, Ingrid Winkler, Erick Giovani Sperandio Nascimento

Expert Syst. Appl., 2025

2023

Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods.

Tiago Palma Pagano, Rafael Bessa Loureiro, Fernanda Vitoria Nascimento Lisboa, Rodrigo Matos Peixoto, Guilherme Aragao de Sousa Guimaraes, Gustavo Oliveira Ramos Cruz, Maira Matos Araujo, Lucas Lisboa dos Santos, Marco Cruz, Ewerton Lopes Silva de Oliveira, Ingrid Winkler, Erick Giovani Sperandio Nascimento

Big Data Cogn. Comput., March, 2023

Context-Based Patterns in Machine Learning Bias and Fairness Metrics: A Sensitive Attributes-Based Approach.

Tiago Palma Pagano, Rafael Bessa Loureiro, Fernanda Vitoria Nascimento Lisboa, Gustavo Oliveira Ramos Cruz, Rodrigo Matos Peixoto, Guilherme Aragao de Sousa Guimaraes, Ewerton Lopes Silva de Oliveira, Ingrid Winkler, Erick Giovani Sperandio Nascimento

Big Data Cogn. Comput., March, 2023

2022

Bias and unfairness in machine learning models: a systematic literature review.

Tiago Palma Pagano, Rafael Bessa Loureiro, Maira Matos Araujo, Fernanda Vitoria Nascimento Lisboa, Rodrigo Matos Peixoto, Guilherme Aragao de Sousa Guimaraes, Lucas Lisboa dos Santos, Gustavo Oliveira Ramos Cruz, Ewerton Lopes Silva de Oliveira, Marco Cruz, Ingrid Winkler, Erick Giovani Sperandio Nascimento

CoRR, 2022