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Found 2 papers, 1 papers with code
Patch Selection for Melanoma Classification
We find that, in addition to requiring less preprocessing time, the classifiers trained on the datasets of patches selected based on entropy converge faster than on those selected based on the spectral similarity criterion and, furthermore, lead to higher accuracy.
Automatic Detection of Sexist Statements Commonly Used at the Workplace
In this paper we present a dataset of sexist statements that are more likely to be said in the workplace as well as a deep learning model that can achieve state-of-the art results.
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