In a collaboration between several labs at UNC Lineberger, researchers have defined cancer-associated fibroblast (CAF) subtypes that are clinically robust, prognostic, and predictive of immunotherapy ...
Liquid biopsies, which test body fluids that contain cancerous material, including circulating tumor DNA (ctDNA), are a ...
Amazon's 2026 algorithm update prioritizes profitability signals, conversion quality, and AI-aligned content over traditional keyword stuffing. Agencies that ...
California Lutheran University political science professor Jose Marichal discussed his new book, “You Must Become an Algorithmic Problem,” Thursday, Feb. 12, in Ullman 101. The book, Marichal’s second ...
Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...
Classification is a central task in machine learning, underpinning applications in domains such as finance, medicine, engineering, information technology, and biology. However, machine learning ...
Abstract: The decision tree, as an efficient data structure, is commonly used to perform packet classification due to its faster classification speed. During packet classification, all packets need to ...
What’s happened? Instagram is testing a new feature that gives users more control over the type of content they see on the platform. Why is this important? Instagram’s algorithm plays a major role in ...
ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results