Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based electroencephalography (EEG) ...
Abstract: In image segmentation and specifically in medical image segmentation, the soft-Dice loss is often chosen instead of the more traditional cross-entropy loss to improve performance with ...
State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 200237 Shanghai, China State Key Laboratory of Genetic Engineering, Fudan University, 200438 Shanghai, ...
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