IEEE

Fusion Graph Structure Learning-Based Multivariate Time Series Anomaly Detection With Structured Prior Knowledge

Abstract: Multivariate time series anomaly detection (MTSAD) plays a crucial role in the Internet of Things (IoT) to identify device malfunction or system attacks. Graph neural networks (GNN) are ...
IEEE

A Survey of Few-Shot Learning for Biomedical Time Series

Abstract: Advancements in wearable sensor technologies and the digitization of medical records have contributed to the unprecedented ubiquity of biomedical time series data. Data-driven models have ...
InfoQ

Java Concurrency from the Trenches: Lessons Learned in the Wild

Hugo Marques explains how to navigate Java concurrency at scale, moving beyond simple frameworks to solve high-throughput IO ...