Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...
Background: Machine learning techniques are increasingly being applied in health research. It is not clear how useful these approaches are for modeling continuous outcomes. Child quality of life is ...
The Hainan Bielefeld University of Applied Sciences (BiUH) is the first international independent university in the Hainan Free Trade Port. Our approach combines theory and practice following the ...
The Hainan Bielefeld University of Applied Sciences (BiUH) is the first international independent university in the Hainan Free Trade Port. Our approach combines theory and practice following the ...
Methodological advances in analyzing complex and high-dimensional datasets Methodological advances in Natural Language Processing, in particular with respect to causal inference. Innovative ...
Abstract: Machine learning approaches are powerful techniques commonly employed for developing cancer prediction models using associated gene expression and mutation data. This manuscript provides a ...
Use these skills and tools to make the most of it. by Antonio Nieto-Rodriguez Quietly but powerfully, projects have displaced operations as the economic engine of our ...
Abstract: In recent years, with the rapid development of current Internet and mobile communication technologies, the infrastructure, devices and resources in networking systems are becoming more ...
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