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ADAPT-Fraud is a novel fraud detection framework designed for evolving, stealthy, and adversarial financial fraud patterns. It combines adversarial data augmentation, diffusion-based fraud pattern ...

Probabilistic graphs and uncertain data analysis represent a rapidly evolving research domain that seeks to reconcile the inherent imprecision of real-world data with robust computational models. By ...

Abstract: In this paper, we investigate an uplink multi-modal probabilistic semantic communication (PSCom) system based on probability graph in the satellite scenario. The system consists of both: ...

Abstract: We develop a probabilistic representation learning method to automatically divide a large-scale elderly population into distinct health management communities by leveraging shared health ...