We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
Abstract: Text classification, also commonly known as text categorization, is the process of assigning labels or tags to textual data. To solve this problem different models are used, based on machine ...
Integrating AI models with the medical domain is challenging as it involves more complex workflows compared to traditional machine learning operations (MLOps). Requirements such as model performance ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Additionally, the effects of social media platform type, machine learning approach, and use of outcome measures in depression prediction models need attention. Analyzing social media texts for ...
Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...
Five weeks ago, Google announced a new feature named "Text guidelines" at the Think Retail event. Google said these would roll out "over time this Fall." Well, some are now seeing the new feature.
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