Understanding a political poll requires method: sampling, margin of error, questions, and bias matter more than the bold ...

EHR fragmentation, payer demands and unproven AI efficiencies are adding hidden labor across clinical workflows ...

Abstract: Recent advances in self-supervised image denoising have highlighted the potential of Blind-Spot Networks (BSNs). However, existing methods suffer from three major limitations: (1) Their ...

Abstract: Knowledge graph (KG) embedding is a fundamental problem in data mining research with many real-world applications. It aims to encode the entities and relations in the graph into low ...