Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...
Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...
Abstract: This brief proposes a hierarchical predefined time optimal secondary control strategy for microgrid systems with external disturbances. Unlike traditional control methods, the key ...
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