Abstract: The confusion matrix is a key tool for understanding and evaluating models in supervised classification problems. Various matrices are proposed depending on the problem framework: ...
where generic representations of the learned data are used for downstream tasks. 1949-3045 © 2025 IEEE. All rights reserved, including rights for text and data ...
Is it possible to predict the composition of a microgram-sized salt deposit solely from its macroscopic appearance? While the task seems intractable, we show that for pure aqueous salt solutions dried ...
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