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Found 3 papers, 2 papers with code
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics
The variability in the perturbed networks was captured in an augmented dataset, which was then used for an age classification task.
Accurate simulation of operating system updates in neuroimaging using Monte-Carlo arithmetic
Overall, our results establish that FL accurately simulates results variability due to OS updates, and is a practical framework to quantify numerical uncertainty in neuroimaging.
Predicting computational reproducibility of data analysis pipelines in large population studies using collaborative filtering
We formulate the problem as a collaborative filtering process, with constraints on the construction of the training set.
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