Using Policy Refinement to Assist IoT Device Management in Smart Hospitals. - Jessica M. de Castro; Luiz Fernando F. P. de Lima; Iury Araújo; Eudisley G. dos Anjos; Fernando Menezes Matos (ICCSA (5), 2019)

An Overview on the Use of Adversarial Learning Strategies to Ensure Fairness in Machine Learning Models. - Luiz Fernando Fonsêca Pinheiro de Lima; Danielle Rousy Dias Ricarte; Clauirton de Albuquerque Siebra (SBSI, 2022)

The Perspective of Software Professionals on Algorithmic Racism. - Ronnie Edson de Souza Santos; Luiz Fernando de Lima; Cleyton V. C. de Magalhães (ESEM, 2023)

From Literature to Practice: Exploring Fairness Testing Tools for the Software Industry Adoption. - Thanh Nguyen; Maria Teresa Baldassarre; Luiz Fernando de Lima; Ronnie de Souza Santos (ESEM, 2024)

Preliminary Insights on Industry Practices for Addressing Fairness Debt. - Ronnie de Souza Santos; Luiz Fernando de Lima; Maria Teresa Baldassarre; Rodrigo O. Spínola (ESEM, 2024)

A Benchmark Proposal for Non-Generative Fair Adversarial Learning Strategies Using a Fairness-Utility Trade-off Metric. - Luiz Fernando F. P. de Lima; Danielle Rousy Dias Ricarte; Clauirton A. Siebra (Comput. Intell., 2024)