Our research focuses on both theoretical and applied aspects in the broad area of machine learning and statistical computing. We study machine learning algorithms ... worked on applications including ...

AI is embedded in frontline diagnostics and decision-making systems. Machine learning models, trained on clinical datasets, ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. Proteomics ...

Their analysis covers key technical and clinical challenges, such as real-time data transmission ... for cardiovascular ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

An automated machine-learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the ...

This course offers students a practical introduction to using Machine Learning algorithms, tools, and techniques for solving problems that fall under the umbrella of Data Science. It is structured ...

They need to make sense of the data from the observations themselves. This week we are diving into Principal Component Analysis ... the PCA algorithm. This week, we are working with clustering, one of ...

An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing.