1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 1 cited
Online hierarchical partitioning of the output space in extreme multi-label data stream
Lara Neves, Afonso Lourenço, Alberto Cano +1
Mining data streams with multi-label outputs poses significant challenges due to evolving distributions, high-dimensional label spaces, sparse label occurrences, and complex label…
cs.LG2024
A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research
Teresa Salazar, Helder Araújo, Alberto Cano +1
Group fairness in machine learning is an important area of research focused on achieving equitable outcomes across different groups defined by sensitive attributes such as race or…