Abstract: Hierarchical text classification (HTC) is an important yet challenging task in natural language processing (NLP), primarily due to the complexity of its taxonomic label hierarchy. Existing ...
bDepartment of Biostatistics and Epidemiology, University Hospital of Saint-Louis, Paris, France cDepartment of Hematology, University Hospital of Saint-Louis, Paris, France dDepartment of Hematology, ...
This is the first experiment of Image Segmentation for Endoscopy Multi Organ Disease (EDD2020) based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for Multiclass), and ...
Abstract: Multi-label text classification involves assigning multiple relevant categories to a single text, enabling applications in academic indexing, medical diagnostics, and e-commerce. However, ...