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A mix policy of photometric transformations can boost OOD generalization in skin cancer classification by over 5% in ROC-AUC, challenging the notion that in-domain accuracy is paramount.
Dialogs achieves higher ratings for expressiveness and conversational naturalness than existing Russian speech datasets, setting a new standard for dialog assistant training.
The cascade classification approach significantly enhances sensitivity control, outperforming traditional single-stage methods in identifying malignant skin lesions.