10 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 4 cited
Optimizing Diffusion Rate and Label Reliability in a Graph-Based Semi-supervised Classifier
Bruno Klaus de Aquino Afonso, Lilian Berton
Semi-supervised learning has received attention from researchers, as it allows one to exploit the structure of unlabeled data to achieve competitive classification results with muc…
cs.LG2020★ 10 cited
Analysis of label noise in graph-based semi-supervised learning
Bruno Klaus de Aquino Afonso, Lilian Berton
In machine learning, one must acquire labels to help supervise a model that will be able to generalize to unseen data. However, the labeling process can be tedious, long, costly, a…
cs.LG2020★ 10 cited
Identifying noisy labels with a transductive semi-supervised leave-one-out filter
Bruno Klaus de Aquino Afonso, Lilian Berton
Obtaining data with meaningful labels is often costly and error-prone. In this situation, semi-supervised learning (SSL) approaches are interesting, as they leverage assumptions ab…