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 ...

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 ...

ABSTRACT: Bipolar disorder is a complex psychiatric condition characterized by high variability in treatment response, posing a major challenge for clinicians striving to personalize care. Traditional ...

It's an open secret in academia that schools are losing to AI, said James D. Walsh in New York magazine. Most students in the country today are "relying on AI to ease their way through every facet of ...

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 ...