Paper
ANNE: Adaptive Nearest Neighbours and Eigenvector-based sample selection for robust learning with noisy labels
Published Nov 1, 2024 · Filipe R. Cordeiro, Gustavo Carneiro
ArXiv
1
Citations
0
Influential Citations
Abstract
Abstract hidden due to publisher request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.
Preprint
Study Snapshot
Adaptive Nearest Neighbors and Eigenvector-based (ANNE) sample selection optimizes performance in noisy-label learning across a wide range of noise rate scenarios, outperforming state-of-the-art methods.
PopulationOlder adults (50-71 years)
Sample size24
MethodsObservational
OutcomesBody Mass Index projections
ResultsSocial networks mitigate obesity in older groups.
Full text analysis coming soon...
References
—
···
—
···
—
···
—
···
—
···
—
···
—
···
—
···
Citations
—
···
—
···
—
···
—
···
—
···
—
···
—
···
—
···