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2020 – today
- 2025
[j7]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, Marcos Medeiros Raimundo:
Best practices for responsible machine learning in credit scoring. Neural Comput. Appl. 37(25): 20781-20821 (2025)- [j6]Marcos M. Raimundo, Germain Garcia Zanabria, Luis Gustavo Nonato, Jorge Poco:
CounterCrime - Using Counterfactual Explanations to Explore Crime Reduction Scenarios. IEEE Trans. Vis. Comput. Graph. 31(10): 9008-9023 (2025) - [c7]Jansen Silva de Brito Pereira, Giovani Valdrighi, Marcos Medeiros Raimundo:
M²FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness. FAccT 2025: 3106-3118 - [i4]Jansen Silva de Brito Pereira, Giovani Valdrighi, Marcos M. Raimundo:
M2FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness. CoRR abs/2504.12458 (2025) - [i3]Sujoy Chatterjee, Everton Romanzini Colombo, Marcos Medeiros Raimundo:
Multi-criteria Rank-based Aggregation for Explainable AI. CoRR abs/2505.24612 (2025) - 2024
- [j5]Marcos M. Raimundo, Luis Gustavo Nonato, Jorge Poco:
Mining Pareto-optimal counterfactual antecedents with a branch-and-bound model-agnostic algorithm. Data Min. Knowl. Discov. 38(5): 2942-2974 (2024) - [c6]Lucas Resck, Marcos M. Raimundo, Jorge Poco:
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales. NAACL-HLT (Findings) 2024: 4190-4216 - [i2]Lucas E. Resck, Marcos M. Raimundo, Jorge Poco:
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales. CoRR abs/2404.03098 (2024) - [i1]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, Marcos M. Raimundo:
Best Practices for Responsible Machine Learning in Credit Scoring. CoRR abs/2409.20536 (2024) - 2023
- [j4]Vitória Guardieiro, Marcos M. Raimundo, Jorge Poco:
Enforcing fairness using ensemble of diverse Pareto-optimal models. Data Min. Knowl. Discov. 37(5): 1930-1958 (2023) - 2022
- [j3]Germain Garcia Zanabria, Marcos M. Raimundo, Jorge Poco, Marcelo Batista Nery, Cláudio T. Silva, Sergio Adorno, Luis Gustavo Nonato:
CriPAV: Street-Level Crime Patterns Analysis and Visualization. IEEE Trans. Vis. Comput. Graph. 28(12): 4000-4015 (2022) - [c5]Vitória Guardieiro, Marcos M. Raimundo, Jorge Poco:
Analyzing the Equity of the Brazilian National High School Exam by Validating the Item Response Theory's Invariance. EDM 2022 - 2021
- [j2]Marcos M. Raimundo, Thalita F. Drumond, Alan Caio R. Marques, Christiano Lyra, Anderson Rocha, Fernando J. Von Zuben:
Exploring multiobjective training in multiclass classification. Neurocomputing 435: 307-320 (2021) - 2020
- [j1]Marcos M. Raimundo, Paulo A. V. Ferreira, Fernando J. Von Zuben:
An extension of the non-inferior set estimation algorithm for many objectives. Eur. J. Oper. Res. 284(1): 53-66 (2020) - [c4]Marcos M. Raimundo, Fernando J. Von Zuben:
Multi-criteria analysis involving Pareto-optimal misclassification tradeoffs on imbalanced datasets. IJCNN 2020: 1-8
2010 – 2019
- 2018
- [c3]Marcos M. Raimundo, Fernando J. Von Zuben:
Investigating multiobjective methods in multitask classification. IJCNN 2018: 1-9 - 2017
- [c2]Marcos M. Raimundo, Fernando J. Von Zuben:
Many-Objective Ensemble-Based Multilabel Classification. CIARP 2017: 365-373 - [c1]Fernando S. Beserra, Marcos M. Raimundo, Fernando J. Von Zuben:
Ensembles of Multiobjective-Based Classifiers for Detection of Epileptic Seizures. CIARP 2017: 575-583
Coauthor Index
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