Abstract: The cross-entropy loss function is widely used in model training, but in some scenarios, its sensitivity to label noise and the imbalance of samples have led to training constraints. In this ...

Blue Cross Blue Shield of Michigan took a narrower financial loss in 2025 than the year before and paid its new CEO significantly less than her long-serving predecessor. Michigan's largest commercial ...

Abstract: A loss function has two crucial roles in training a conventional discriminant deep neural network (DNN): (i) it measures the goodness of classification and (ii) generates the gradients that ...

ABSTRACT: Treatment-Resistant Depression (TRD) remains one of the most challenging subtypes of major depressive disorder, affecting approximately one-third of patients and leading to significant ...

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ABSTRACT: Speech Emotion Recognition (SER) is crucial for enhancing human-computer interactions by enabling machines to understand and respond appropriately to human emotions. However, accurately ...

Artificial intelligence depends on its ability to interpret data, adapt to dynamic environments, and make decisions with incomplete information. At the heart of these processes lies entropy—a metric ...

Advancements in large language models (LLMs) have revolutionized natural language processing, with applications spanning text generation, translation, and summarization. These models rely on large ...