17 citations · 47 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…