3 papers
cs.LG2026
Exploring the impact of fairness-aware criteria in AutoML
Joana Simões, João Correia
Machine Learning (ML) systems are increasingly used to support decision-making processes that affect individuals. However, these systems often rely on biased data, which can lead t…
cs.AI2026
Evolutionary Token-Level Prompt Optimization for Diffusion Models
DomÃcio Pereira Neto, João Correia, Penousal Machado
Text-to-image diffusion models exhibit strong generative performance but remain highly sensitive to prompt formulation, often requiring extensive manual trial and error to obtain s…
cs.LG2025
EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines
Joana Simões, João Correia
Automated Machine Learning (AutoML) gained popularity due to the increased demand for Machine Learning (ML) specialists, allowing them to apply ML techniques effortlessly and quick…