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pro vyhledávání: '"Çağlar, Ümit Mert"'
Assessing disease severity involving ordinal classes, where each class represents increasing levels of severity, benefit from loss functions that account for this ordinal structure. Traditional categorical loss functions, like Cross-Entropy (CE), oft
Externí odkaz:
http://arxiv.org/abs/2412.01246
Contemporary deep learning models have demonstrated promising results across various applications within seismology and earthquake engineering. These models rely primarily on utilizing ground motion records for tasks such as earthquake event classifi
Externí odkaz:
http://arxiv.org/abs/2403.07569
Endoscopic imaging is commonly used to diagnose Ulcerative Colitis (UC) and classify its severity. It has been shown that deep learning based methods are effective in automated analysis of these images and can potentially be used to aid medical docto
Externí odkaz:
http://arxiv.org/abs/2311.06057