Ensembles of Multiobjective-Based Classifiers for Detection of Epileptic Seizures. - Fernando S. Beserra; Marcos M. Raimundo; Fernando J. Von Zuben (CIARP, 2017)

Many-Objective Ensemble-Based Multilabel Classification. - Marcos M. Raimundo; Fernando J. Von Zuben (CIARP, 2017)

Investigating multiobjective methods in multitask classification. - Marcos M. Raimundo; Fernando J. Von Zuben (IJCNN, 2018)

Multi-criteria analysis involving Pareto-optimal misclassification tradeoffs on imbalanced datasets. - Marcos M. Raimundo; Fernando J. Von Zuben (IJCNN, 2020)

An extension of the non-inferior set estimation algorithm for many objectives. - Marcos M. Raimundo; Paulo A. V. Ferreira; Fernando J. Von Zuben (Eur. J. Oper. Res., 2020)

Exploring multiobjective training in multiclass classification. - Marcos M. Raimundo; Thalita F. Drumond; Alan Caio R. Marques; Christiano Lyra; Anderson Rocha 001; Fernando J. Von Zuben (Neurocomputing, 2021)

Analyzing the Equity of the Brazilian National High School Exam by Validating the Item Response Theory's Invariance. - Vitória Guardieiro; Marcos M. Raimundo; Jorge Poco (EDM, 2022)

CriPAV: Street-Level Crime Patterns Analysis and Visualization. - Germain Garcia Zanabria; Marcos M. Raimundo; Jorge Poco; Marcelo Batista Nery; Cláudio T. Silva; Sergio Adorno; Luis Gustavo Nonato (IEEE Trans. Vis. Comput. Graph., 2022)

Enforcing fairness using ensemble of diverse Pareto-optimal models. - Vitória Guardieiro; Marcos M. Raimundo; Jorge Poco (Data Min. Knowl. Discov., 2023)

Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales. - Lucas Resck; Marcos M. Raimundo; Jorge Poco (NAACL-HLT (Findings), 2024)

Mining Pareto-optimal counterfactual antecedents with a branch-and-bound model-agnostic algorithm. - Marcos M. Raimundo; Luis Gustavo Nonato; Jorge Poco (Data Min. Knowl. Discov., 2024)

M²FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness. - Jansen Silva de Brito Pereira; Giovani Valdrighi; Marcos Medeiros Raimundo (FAccT, 2025)

M2FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness. - Jansen Silva de Brito Pereira; Giovani Valdrighi; Marcos M. Raimundo (CoRR, 2025)

Multi-criteria Rank-based Aggregation for Explainable AI. - Sujoy Chatterjee; Everton Romanzini Colombo; Marcos Medeiros Raimundo (CoRR, 2025)

Best practices for responsible machine learning in credit scoring. - Giovani Valdrighi; Athyrson M. Ribeiro; Jansen Silva de Brito Pereira; Vitória Guardieiro; Arthur Hendricks; Décio Miranda Filho; Juan David Nieto Garcia; Felipe F. Bocca; Thalita B. Veronese; Lucas Wanner 001; Marcos Medeiros Raimundo (Neural Comput. Appl., 2025)