Article

Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics

2020-12-16

Abstract excerpt

Machine learning models are commonly applied to human brain imaging datasets in an effort to associate function or structure with behaviour, health, or other individual phenotypes. Such models often rely on low-dimensional maps generated by complex processing pipelines. However, the numerical instabilities inherent to pipelines limit the fidelity of these maps and introduce computational bias. Monte Carlo Arithmet...

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Literature Corpus work: d44badf1-633b-5c41-9519-4d9bad46424b
DOI: 10.1101/2020.12.16.423084

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