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 ...

This plugin uses Wikipedia’s AI-spotting guide to make AI writing sound more human

A ‘Humanizer’ skill for Claude removes phrases and patterns based on a guide that Wikipedians use to spot AI-generated text.
How-To Geek on MSN

Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

'Autoplay got me there': How YouTube's algorithm built a following for fascist group Patriotic Alternative

YouTube is a key tool in recruiting far-right activists to the largest British fascist group Patriotic Alternative (PA), ...

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 ...

X open sources its algorithm while facing a transparency fine and Grok controversies

In 2023, the website then known as Twitter partially open sourced its algorithm for the first time. In those days, Tesla ...
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 ...