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 ...

Salty soils are causing reduced crop density, lower yields and barren lands unable to sustain crop growth. Sea level rise, ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

The wording of publications has been adjusted accordingly: data on enterprises (until reference year 2017) will now be referred to as data on legal units.

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these ...

Abstract: Cancer classification based on gene expression data is a critical challenge in modern bioinformatics, requiring efficient and accurate feature selection methods. This study explores the ...

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 ...

Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...

Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, Connecticut 06269, United States Center for Clean Energy Engineering, University of Connecticut, Storrs, ...

We aimed to generate a novel molecular iCCA classifier that incorporates elements of the stroma, tumour and immune microenvironment (‘STIM’ classification). Design We applied virtual deconvolution to ...