A single sample classifier can predict cancer-associated fibroblast subtypes in patient samples

In a collaboration between several labs at UNC Lineberger, researchers have defined cancer-associated fibroblast (CAF) subtypes that are clinically robust, prognostic, and predictive of immunotherapy ...
EurekAlert!

Classifying pediatric brain tumors by liquid biopsy using artificial intelligence

St. Jude Children’s Research Hospital scientists and multinational collaborators created AI-powered M-PACT to facilitate next ...
IEEE

BPF-DAG: Byte-Packet-Flow Features Fusion via Dynamic Attributed Graph for Reliable Encrypted Traffic Classification

Abstract: Reliable encrypted traffic classification is crucial for fine-grained and efficient network security management, enabling accurate user behavior recognition and cybercrime forensics. While ...
IEEE

Reinforced Dual-Flow Neural Network for Tabular Data Classification With Dynamical Transformer and Fuzzy Clustering

Abstract: A novel reinforced dual-flow neural network based on attention and a polynomial-based radial basis function network (DFBTP) is proposed to enhance classification performance on tabular data.
GitHub

Food Multi-Label Classification Pipeline

Food-Multi-Label-Classification-Pipeline/ │ ├── raw/ # Raw datasets (manual download) │ ├── food11/ │ │ ├── training/ │ │ │ ├── Dairy product/ │ │ │ ├── Rice/ │ │ │ └── Vegetable-Fruit ...
GitHub

Predicting-Acute-Food-Insecurity-with-Machine-Learning

This replication package enables full reproducibility of the food crisis monitoring and prediction analyses presented in the manuscript. All computational analyses can be reproduced using the provided ...