Objective Unplanned hospital readmissions within 30 days of discharge measure the quality of healthcare. This study aims to ...

Code and data processing scripts for the proof of concept bianry data pipeline analysis of autoantibody profiles in Sjögren’s syndrome and rheumatoid arthritis (synthetic dataset, N=176). Figures ...

While there are a number of advanced data analysis techniques that allow us to embrace distributed electrophysiological activity measured by MEG, these tools are somewhat underexploited. This includes ...

Multivariate time series (MTS) classification is essential in industries, such as healthcare and manufacturing, where it helps extract key features from complex data for decision-making and ...

Physical classification is the official standard method for determining grain quality for commercialization. However, it is a time-consuming, subjective operation, susceptible to errors, and requires ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The extensive diversity of tea, resulting from varietal traits and manufacturing ...

Check the paper on ArXiv: FastBDT: A speed-optimized and cache-friendly implementation of stochastic gradient-boosted decision trees for multivariate classification Stochastic gradient-boosted ...

This transition was approved by the Board of Control in April and finalized by the West Virginia State Board of Education in May. Five sports will now operate under expanded classification systems: ...

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...