Multi-label image classification extends the traditional single-label paradigm by assigning multiple simultaneous labels to each image, reflecting the complexity of real-world scenes. This task poses ...

TIB-SID: A bilingual (English/German) dataset of library catalog records with GND subject indexing for research on automated subject tagging and extreme multi-label classification.

This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...

Abstract: Formal concept analysis (FCA) can formally model the correspondence between objects and attributes, which is crucial for single-label classification. The core of single-label classification ...

Colon cancer classification has a significant guidance value in clinical diagnoses and medical prognoses. The classification of colon cancers with high accuracy is the premise of efficient treatment.

Photoshop CS6 Extended tutorial showing how to customize an existing wine label with your own name and then place it onto an image of a wine bottle. Areas covered include the warp transform tool, ...

State Key Laboratory of Soil Pollution Control and Safety, and Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China ...

Deep learning model for multi-label thoracic disease detection from chest X-ray images using ResNet-50 and Grad-CAM visualization on the NIH ChestXray14 dataset.

ABSTRACT: A binary complete decision table with many-valued decisions is a table with n attributes and 2 n pairwise distinct rows filled with numbers from the set { 0,1 } . Each row of this table is ...