17 citations · 47 across the 6 of their papers we have counts for
6 papers
QT-Routenet: Improved GNN generalization to larger 5G networks by fine-tuning predictions from queueing theory
Bruno Klaus de Aquino Afonso, Lilian Berton
In order to promote the use of machine learning in 5G, the International Telecommunication Union (ITU) proposed in 2021 the second edition of the ITU AI/ML in 5G challenge, with ov…
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…
Cluster analysis of homicide rates in the Brazilian state of Goias from 2002 to 2014
Samuel Bruno da Silva Sousa, Ronaldo de Castro Del-Fiaco, Lilian Berton
Homicide mortality is a worldwide concern and has occupied the agenda of researchers and public managers. In Brazil, homicide is the third leading cause of death in the general pop…
The Impact of Social Curiosity on Information Spreading on Networks
Didier A. Vega-Oliveros, Lilian Berton, Federico Vazquez +1
Most information spreading models consider that all individuals are identical psychologically. They ignore, for instance, the curiosity level of people, which may indicate that the…