Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify ...

In this chapter, we will present the data stream mining components. The problem of concept drift in classification algorithms and several existing state‐of‐the‐art handling methods are highlighted.

This challenge has motivated many graph classification algorithms ... data in computer science. Each record in DBLP is associated with a number of attributes such as abstract, authors, year, venue, ...

This article reviews the current state of decentralized data collection and outlines key steps for wisely selecting a ...

More information: Soochan Lee et al, Data-Driven Search Algorithm for Discovery of Synthesizable Zeolitic Imidazolate Frameworks, JACS Au (2025). DOI: 10.1021/jacsau.5c00077 ...

Introduction The current era of artificial intelligence and big data development cause algorithm to dominate various fields including financial organizations along with recruitment agency and police ...

UAB IT worked closely with information security officials from UAB Health System to develop the three level data classification system for all data. This system establishes roles and responsibilities ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...