Abstract: Traditional machine-learning approaches face limitations when confronted with insufficient data. Transfer learning addresses this by leveraging knowledge from closely related domains. The ...

Abstract: Fiber orientation distributions (FODs) are widely used in connectome analysis based on diffusion MRI. Spherical har-monics (SPHARMs) are often used for the efficient repre-sentation of FODs; ...

Patents are valuable for the generation of novel ideas through technological discovery. In recent years, scientists have made ...

从应用角度来看，这一成果最重大意义在于，研究团队证明在链路预测任务上，效率和性能在某种程度上是可以兼得的。经过他们优化之后的 GAE 模型，相较以前的一些模型，有着几十倍甚至上百倍的效率提升，这会为图神经网络链路预测模型的规模化扫清重要阻碍。

Chiranjeevi Devi's research focuses on building reliable data systems through anomaly detection, DevSecOps automation, and policy-as-code for compliance.

The key challenge in credit card fraud detection lies in the imbalance between legitimate and fraudulent transactions. Fraud ...

Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou 313000, PR China Zhejiang Key Laboratory of Industrial Solid ...