Publications

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

Vitória Guardieiro, Marcos M Raimundo, Jorge Poco (2023). Enforcing Fairness Using Ensemble of Diverse Pareto-optimal Models. Data Mining and Knowledge Discovery.

Marcos M Raimundo, Luis Gustavo Nonato, Jorge Poco (2022). Mining Pareto-optimal Counterfactual Antecedents with a Branch-and-Bound Model-agnostic Algorithm. Data Mining and Knowledge Discovery.

Vitoria Guardieiro, Marcos M Raimundo, Jorge Poco (2021). Analyzing the Equity of the Brazilian National High School Exam by Validating the Item Response Theory’s Invariance.

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

Germain Garcia-Zanabria, Marcos MM Raimundo, Jorge Poco, Marcelo Batista Nery, Claudio T Silva, Sergio Franca Adorno De Abreu, Luis Gustavo Nonato (2021). CriPAV: Street-Level Crime Patterns Analysis and Visualization. IEEE Transactions on Visualization & Computer Graphics.

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

Marcos M Raimundo, Paulo AV Ferreira, Fernando J Von Zuben (2020). An extension of the non-inferior set estimation algorithm for many objectives. European Journal of Operational Research.

Marcos M. Raimundo, Fernando J. Von Zuben (2019). Exploring multi-objective optimization to deal with multiple feature extractions in detection of epileptic seizures. Journal of Epilepsy and Clinical Neurophysiology.

M. M. Raimundo, F. J. Von Zuben (2018). Investigating multiobjective methods in multitask classification. 2018 International Joint Conference on Neural Networks (IJCNN).

Marcos M. Raimundo, Fernando J. Von Zuben (2018). Many-Objective Ensemble-Based Multilabel Classification. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications.

Fernando S. Beserra, Marcos M. Raimundo, Fernando J. Von Zuben (2018). Ensembles of Multiobjective-Based Classifiers for Detection of Epileptic Seizures. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications.

Alan Caio M. R., Marcos M. Raimundo, Ellen Marianne B. Cavalheiro, Luis F. P. Salles, Christiano Lyra, Fernando J. Von Zuben (2018). Ant genera identification using an ensemble of convolutional neural networks. PLOS ONE.

Marcos M. Raimundo, Fernando J. Von Zuben (2017). MONISE - Many Objective Non-Inferior Set Estimation.

Fernando S. Beserra, Marcos M. Raimundo, Fernando J. Von Zuben (2017). Ensembles of Multiobjective-Based Classifiers for Detection of Epileptic Seizures. Journal of Epilepsy and Clinical Neurophysiology.