Publications

Model Multiplicity

Giovani Valdrighi, Marcos M Raimundo (2026). Algorithmic Fairness Across Alignment Procedures and Agentic Systems.

Towards a Geometric Theory of Fairness: Detecting Mode Collapse on the Grassmannian Manifold

Generative Models

Beatriz Cardoso Nascimento, Marcos M Raimundo (2026). ICLR 2026 Workshop on Geometry-grounded Representation Learning and Generative Modeling.

When AI Describes Race? Unveiling Racial Bias in Vision-Language Models in Brazilian People

Vision-Language Models

Racial Bias

Leodécio Braz da Silva Segundo, Marcos M Raimundo (2026). Algorithmic Fairness Across Alignment Procedures and Agentic Systems.

Reasoning Distillation and Structural Alignment for Improved Code Generation

Applied Deep Learning

Large Language Models

Code Generation

Amir Jalilifard, Anderson de Rezende Rocha, Marcos Medeiros Raimundo (2025). arXiv preprint arXiv:2510.17598.

Balancing Performance and Reject Inclusion: A Novel Confident Inlier Extrapolation Framework for Credit Scoring

Fair Credit Scoring

Reject Inference

Credit Scoring

Athyrson Machado Ribeiro, Marcos Medeiros Raimundo (2025). arXiv preprint arXiv:2510.12967.

Best practices for responsible machine learning in credit scoring

Fair Credit Scoring

Responsible AI

Credit Scoring

Giovani Valdrighi, Athyrson M. Ribeiro, Jansen SB Pereira, Vitoria Guardieiro, Arthur Hendricks, Décio Miranda Filho, Juan David Nieto Garcia, Felipe F. Bocca, Thalita B.…

CounterCrime-using counterfactual explanations to explore crime reduction scenarios

Counterfactual Explanations

Public Safety

Marcos M Raimundo, Germain Garcia-Zanabria, Luis Gustavo Nonato, Jorge Poco (2025). IEEE Transactions on Visualization and Computer Graphics.

Combinatorial U-Curve Optimization for Multi-Task Learning: A Task Selection Approach

Combinatorial Optimization

Multi-task Learning

Giovana K Bonás, Marcelo S Reis, Marcos M Raimundo (2025). 2025 International Joint Conference on Neural Networks (IJCNN).

Multi-criteria rank-based aggregation for explainable AI

Multi-criteria Decision Making

Sujoy Chatterjee, Everton Romanzini Colombo, Marcos Medeiros Raimundo (2025). 2025 International Joint Conference on Neural Networks (IJCNN).

M²FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness

Subgroup Fairness

Gradient Boosting

Jansen Silva de Brito Pereira, Giovani Valdrighi, Marcos Medeiros Raimundo (2025). Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency.

Pareto sensitivity, most-changing sub-fronts, and knee solutions

Pareto Sensitivity

Operations Research

Tommaso Giovannelli, Marcos Medeiros Raimundo, Luis Nunes Vicente (2025). arXiv preprint arXiv:2501.16993.

Evaluating Hate Speech Detection to Unseen Target Groups

Counterfactual Explanations

Hate Speech Detection

Alexandre Negretti, Marcos M Raimundo (2024). Conferência Latino-Americana de Ética em Inteligência Artificial.

Mining Pareto-optimal counterfactual antecedents with a branch-and-bound model-agnostic algorithm

Marcos M Raimundo, Luis Gustavo Nonato, Jorge Poco (2024). Data Mining and Knowledge Discovery.

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

Lucas E Resck, Marcos M Raimundo, Jorge Poco (2024). Findings of the Association for Computational Linguistics: NAACL 2024.

Enforcing fairness using ensemble of diverse Pareto-optimal models

Ensemble Learning

Vitória Guardieiro, Marcos M Raimundo, Jorge Poco (2023). Data Mining and Knowledge Discovery.

Analyzing the Equity of the Brazilian National High School Exam by Validating the Item Response Theory’s Invariance.

Item Response Theory

Educational Assessment

Vitoria Guardieiro, Marcos M Raimundo, Jorge Poco (2022). EDM.

Exploring multiobjective training in multiclass classification

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

CriPAV: street-level crime patterns analysis and visualization

Visual Analytics

Public Safety

Germain Garcia-Zanabria, Marcos Medeiros Raimundo, Jorge Poco, Marcelo Batista Nery, Cláudio T Silva, Sergio Adorno, Luis Gustavo Nonato (2021). Preprint.

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

Multi-criteria Decision Making

Marcos M Raimundo, Fernando J Von Zuben (2020). 2020 International Joint Conference on Neural Networks (IJCNN).

An extension of the non-inferior set estimation algorithm for many objectives

NISE

Operations Research

Marcos M Raimundo, Paulo AV Ferreira, Fernando J Von Zuben (2020). European Journal of Operational Research.

Investigating multiobjective methods in multitask classification

Multi-task Learning

Marcos M Raimundo, Fernando J Von Zuben (2018). 2018 International Joint Conference on Neural Networks (IJCNN).

Ant genera identification using an ensemble of convolutional neural networks

Applied Deep Learning

Computer Vision

Ecology

Alan Caio R Marques, Marcos M Raimundo, Ellen Marianne B Cavalheiro, Luis FP Salles, Christiano Lyra, Fernando J Von Zuben (2018). PloS one.

Ensembles of Multiobjective-Based Classifiers for Detection of Epileptic Seizures

Ensemble Learning

Medical Diagnosis

Fernando S Beserra, Marcos M Raimundo, Fernando J Von Zuben (2017). Iberoamerican Congress on Pattern Recognition.

Many-objective ensemble-based multilabel classification

Ensemble Learning

Marcos M Raimundo, Fernando J Von Zuben (2017). Iberoamerican Congress on Pattern Recognition.

Um algoritmo adaptativo para gerar soluções Pareto-ótimas via branch-and-bound no espaço de objetivos