Marcos M. Raimundo

According to our database, Marcos M. Raimundo authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., September, 2024

Best Practices for Responsible Machine Learning in Credit Scoring.

Giovani Valdrighi, Athyrson M. Ribeiro, Jansen S. B. Pereira, Vitória Guardieiro, Arthur Hendricks, Décio Miranda Filho, Juan David Nieto Garcia, Felipe F. Bocca, Thalita B. Veronese, Lucas Wanner, Marcos M. Raimundo

CoRR, 2024

Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales.

Lucas Resck, Marcos M. Raimundo, Jorge Poco

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

Enforcing fairness using ensemble of diverse Pareto-optimal models.

Vitória Guardieiro, Marcos M. Raimundo, Jorge Poco

Data Min. Knowl. Discov., September, 2023

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

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

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

Exploring multiobjective training in multiclass classification.

Marcos M. Raimundo, Thalita F. Drumond, Alan Caio R. Marques, Christiano Lyra, Anderson Rocha, Fernando J. Von Zuben

Neurocomputing, 2021

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

Multi-criteria analysis involving Pareto-optimal misclassification tradeoffs on imbalanced datasets.

Marcos M. Raimundo, Fernando J. Von Zuben

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

Investigating multiobjective methods in multitask classification.

Marcos M. Raimundo, Fernando J. Von Zuben

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Many-Objective Ensemble-Based Multilabel Classification.

Marcos M. Raimundo, Fernando J. Von Zuben

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Ensembles of Multiobjective-Based Classifiers for Detection of Epileptic Seizures.

Fernando S. Beserra, Marcos M. Raimundo, Fernando J. Von Zuben

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017