Physics-informed neural networks (PINNs) have shown remarkable prospects in solving forward and inverse problems involving ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: Class imbalance is a pervasive challenge in real-world machine learning (ML) applications, where the minority class, often the class of interest, is significantly underrepresented. This ...
Across the country, Americans who love K-pop and K-dramas are flocking to Korean language classes. A K-pop dance team at Duke is a sign of the Korean cultural wave.Credit...Video by Jeremy M. Lange ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
Abstract: Class imbalance introduces bias into model learning and remains a persistent and fundamental challenge in machine learning. When class imbalance is coupled with complex data distribution ...
DR-GEM is a self-supervised meta-algorithm that combines principles in distributionally robust optimization with balanced consensus machine learning to overcome the challenges of latent class ...
Thank you for the amazing work. I noticed the Subsampling for class imbalances article recommends subsampling to address class imbalances. Please, I would like to suggest adding a warning with a note ...
ABSTRACT: Human Metapneumovirus (HMPV) is a prominent respiratory pathogen, particularly affecting children, the elderly, and immunocompromised populations. Early detection of HMPV is critical for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results