3 papers
cs.LG2025
Deep Learning for School Dropout Detection: A Comparison of Tabular and Graph-Based Models for Predicting At-Risk Students
Pablo G. Almeida, Guilherme A. L. Silva, Valéria Santos +3
Student dropout is a significant challenge in educational systems worldwide, leading to substantial social and economic costs. Predicting students at risk of dropout allows for tim…
cs.NE2025
Enhancing Decision Space Diversity in Multi-Objective Evolutionary Optimization for the Diet Problem
Gustavo V. Nascimento, Ivan R. Meneghini, Valéria Santos +2
Multi-objective evolutionary algorithms (MOEAs) are essential for solving complex optimization problems, such as the diet problem, where balancing conflicting objectives, like cost…
cs.CV2025
Investigating the Impact of Large-Scale Pre-training on Nutritional Content Estimation from 2D Images
Michele Andrade, Guilherme A. L. Silva, Valéria Santos +2
Estimating the nutritional content of food from images is a critical task with significant implications for health and dietary monitoring. This is challenging, especially when rely…