Abstract: Recent studies have revealed that Deep Neural Networks (DNNs) are highly vulnerable to adversarial examples, which are generated by introducing imperceptible perturbations to clean images, ...
Abstract: The class imbalance problem can cause classifiers to be biased toward the majority class and inclined to generate incorrect predictions. While existing studies have proposed numerous ...
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...
Demand forecasting is a critical component of supply chain management and business operations. While traditional demand forecasting methods are geared towards continuous and stable demand patterns, ...
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