Objective Lupus nephritis (LN) is a prevalent renal manifestation in patients with SLE, with kidney biopsy remaining the gold ...

Researchers have developed a graph-based expert system that improves the accuracy and prediction stability of automated bank ...

Abstract: Graph anomaly detection has gained significant research interest across various domains. Due to the lack of labeled data, contrastive learning has been applied in detecting anomalies and ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Abstract: Foundation models have emerged as critical components in a variety of artificial intelligence applications, and showcase significant success in natural language processing and several other ...