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Found 2 papers, 1 papers with code
Community-based anomaly detection using spectral graph filtering
Several applications have a community structure where the nodes of the same community share similar attributes.
PyHard: a novel tool for generating hardness embeddings to support data-centric analysis
We show in a COVID prognosis dataset how this analysis supported the identification of pockets of hard observations that challenge ML models and are therefore worth closer inspection, and the delineation of regions of strengths and weaknesses of ML models.
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