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