IEEE

Investigating the Robustness of Graph Neural Networks to Data Drift: A Case Study on Financial Transaction Data

Abstract: The performance of machine learning models in real-world applications is often challenged by data drift, in which the statistical properties of the data evolve over time. This phenomenon is ...

Wikipedia volunteers spent years cataloging AI tells. Now there’s a plugin to avoid them.

The source material is a guide from WikiProject AI Cleanup, a group of Wikipedia editors who have been hunting AI-generated articles since late 2023. French Wikipedia editor Ilyas Lebleu founded the ...
Decrypt

Wikipedia Reveals Multiple Deals with AI Giants to Use Its Content

The Wikimedia Foundation said it has inked agreements with Microsoft, Google, Amazon and Meta to use its content for training ...
IEEE

A Visibility Graph Approach for Multi-Stage Classification of Parkinson’s Disease Using Multimodal Data

Abstract: Parkinson’s disease (PD) is a neurodegenerative disorder characterized by several motor symptoms such as resting tremor, muscular rigidity, slowness of movement and different speech ...