Tag: Machine learning

Researchers in China have developed a detection method that combines temporal knowledge graphs, time-series tensors, and a variational autoencoder paired ...

A multicenter study combined DCE-MRI radiomics with clinical risk factors and machine learning to preoperatively predict lymphovascular invasion in breast ...

A multicenter study of 150 children with achondroplasia shows that an explainable stacked ensemble model outperformed classical penalized statistical methods ...

Machine learning forecasts of international student flows to the United Kingdom reveal a concentration paradox in which apparent diversification masks ...

A new study shows that an AI agent combining data retrieval with mechanistic food-science knowledge outperforms conventional machine learning for ...

Researchers at the Norwegian University of Science and Technology have developed two new explainability methods that integrate transformer attention weights ...

A comprehensive new review details how senescent fibroblasts, macrophages, keratinocytes and stem cells drive skin aging through ROS, DNA damage, ...

A rigorous evaluation of 126 machine learning pipelines on data from more than 3,000 Golden Retrievers shows that routine laboratory ...

Researchers fused morphometric basin analysis with machine learning to map flood susceptibility across four Bayelsa State catchments, revealing hidden high-risk ...

Researchers combined machine learning and deep learning with multiple molecular fingerprints to build predictive models that identified two promising topoisomerase ...