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 ...

In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster analysis on the 112 prescriptions in Shang Han Lun. Statistical and network ...

Abstract: The multi-label text classification (MLTC) task involves associating text data with multiple relevant labels. However, previous studies often overlooked the co-occurrence information of ...

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.

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.

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

1 School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China 2 Department of Mechanical and Electrical Engineering, Henan Vocational College of ...

In this advanced tutorial, we aim to build a multi-agent task automation system using the PrimisAI Nexus framework, which is fully integrated with the OpenAI API. Our primary objective is to ...