Neurogastroenterology & Motility paper describes the Auckland Classification, which is designed to bring clinical clarity to the hundreds of ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...

Abstract: Employing multimodal remote sensing images (MRSIs) enhances ground object identification, yet the heterogeneity of MRSIs can increase the risk of model overfitting, particularly when ...

Abstract: Webly-supervised fine-grained visual classification (WSL-FGVC) aims to learn similar sub-classes from cheap web images, which suffers from two major issues: label noises in web images and ...