1 citations · 1 across the 2 of their papers we have counts for
3 papers
Community-based anomaly detection using spectral graph filtering
Rodrigo Francisquini, Ana Carolina Lorena, Mariá C. V. Nascimento
Several applications have a community structure where the nodes of the same community share similar attributes. Anomaly or outlier detection in networks is a relevant and widely st…
PyHard: a novel tool for generating hardness embeddings to support data-centric analysis
Pedro Yuri Arbs Paiva, Kate Smith-Miles, Maria Gabriela Valeriano +1
For building successful Machine Learning (ML) systems, it is imperative to have high quality data and well tuned learning models. But how can one assess the quality of a given data…
How Complex is your classification problem? A survey on measuring classification complexity
Ana C. Lorena, Luís P. F. Garcia, Jens Lehmann +2
Characteristics extracted from the training datasets of classification problems have proven to be effective predictors in a number of meta-analyses. Among them, measures of classif…