FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes. - Teresa Salazar; Miriam Seoane Santos; Helder Araújo; Pedro Henriques Abreu (IEEE Access, 2021)

FAIR-FATE: Fair Federated Learning with Momentum. - Teresa Salazar; Miguel Fernandes; Helder Araújo; Pedro Henriques Abreu (ICCS (1), 2023)

Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning. - Teresa Salazar; João Gama 001; Helder Araújo; Pedro Henriques Abreu (CoRR, 2024)

A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research. - Teresa Salazar; Helder Araújo; Alberto Cano 001; Pedro Henriques Abreu (CoRR, 2024)

Guidelines for designing visualization tools for group fairness analysis in binary classification. - António Cruz; Teresa Salazar; Manuel Carvalho; Catarina Maçãs; Penousal Machado; Pedro Henriques Abreu (Artif. Intell. Rev., 2025)