M. M. Raimundo

Latest

• Combinatorial U-Curve Optimization for Multi-Task Learning: A Task Selection Approach
• CounterCrime - Using Counterfactual Explanations to Explore Crime Reduction Scenarios
• M²FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
• Multi-criteria Rank-based Aggregation for Explainable AI
• Pareto sensitivity, most-changing sub-fronts, and knee solutions
• Reasoning Distillation and Structural Alignment for Improved Code Generation
• Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
• Enforcing fairness using ensemble of diverse Pareto-optimal models
• An algorithm for multi-task learning based on combinatorial optimization of U-curves
• Analyzing the Equity of the Brazilian National High School Exam by Validating the Item Response Theory's Invariance
• CriPAV: Street-Level Crime Patterns Analysis and Visualization
• Exploring multiobjective training in multiclass classification
• Mining Pareto-optimal counterfactual antecedents with a branch-and-bound model-agnostic algorithm
• Multi-criteria analysis involving Pareto-optimal misclassification tradeoffs on imbalanced datasets
• Investigating multiobjective methods in multitask classification
• An extension of the non-inferior set estimation algorithm for many objectives
• Ensembles of Multiobjective-Based Classifiers for Detection of Epileptic Seizures
• Many-Objective Ensemble-Based Multilabel Classification