Abstract: Relational machine learning studies methods for the statistical analysis of relational, or graph-structured, data. In this paper, we provide a review of how such statistical models can be ...

Abstract: Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML) techniques have been widely used for botnet detection with flow-based features. The prime challenges ...

Image courtesy by QUE.com As we navigate the landscape of 2026, we find ourselves no longer merely using Machine Learning (ML) but ...

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BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...

Graph Therapeutics is a biotech company developing precision medicines for inflammatory and immune-mediated diseases using AI ...

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

DataGroomr, the AI Salesforce data quality platform, now pulls ZoomInfo's verified GTM intelligence into its deduplication, cleansing, and ...

We invited teenagers to create an original five-minute podcast about almost anything. Listen to the winning entries selected from 1,400 submissions. By The Learning Network To participate, submit your ...

The world's premier conference on computer graphics showcases how the technologies behind film, games, and visual effects are ...