Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
Machine learning is quietly rewriting the rules of the cosmic hunt for company. Instead of waiting to recognize familiar ...
Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Abstract: Class imbalance occurs frequently in machine learning, particularly in binary classification tasks where the majority class has a significantly larger number of samples than the minority ...