Abstract: In this paper, autoencoder-based multivariate skewed t-distribution is proposed for hyperspectral anomaly detection. In the proposed method, the ...

Abstract: Concept drift detection in Multivariate Time Series (MTS) data is a critical challenge in domains such as finance, IoT sensor monitoring, and cybersecurity, where data distributions evolve ...

The use of synthetic medical data (SMD) in AI development is on the rise, but its broader application is limited by the lack of a comprehensive evaluation framework. Here, Ghada Zamzmi and colleagues ...