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Found 6 papers, 1 papers with code
QT-Routenet: Improved GNN generalization to larger 5G networks by fine-tuning predictions from queueing theory
To achieve this, we propose to first extract robust features related to Queueing Theory (QT), and then fine-tune the analytical baseline prediction using a modification of the Routenet Graph Neural Network (GNN) model.
Optimizing Diffusion Rate and Label Reliability in a Graph-Based Semi-supervised Classifier
Within this framework, we propose methods to estimate label reliability and diffusion rate.
Analysis of label noise in graph-based semi-supervised learning
Our results show that, if the dataset is consistent with SSL assumptions, we are able to detect the noisiest instances, although this gets harder when the number of available labels decreases.
Identifying noisy labels with a transductive semi-supervised leave-one-out filter
As a result, our approach is best suited to datasets with a large amount of unlabeled data but not many labels.
Cluster analysis of homicide rates in the Brazilian state of Goias from 2002 to 2014
In South America, Brazil has the third highest homicide mortality, behind Venezuela and Colombia.
Performing edge detection by difference of Gaussians using q-Gaussian kernels
In image processing, edge detection is a valuable tool to perform the extraction of features from an image.
