BIOENGINEER

Graph neural networks meet the edge in new fraud detection survey

A systematic survey of 22 studies finds that no published fraud-detection system simultaneously combines graph learning, edge ...

Your Fraud Detection Bleeds Money–Because You’re Evaluating It All Wrong

Most fraud detection gets deployed at crude, arbitrarily chosen thresholds that actively hemorrhage millions. Here's how ...
techtimes

Leveraging Machine Learning Algorithms to Combat Fraud in Supply Chain Operations

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...
GitHub

Ethereum Fraud Detection Models

Ethereum Fraud Detection Models. Contribute to sepandhaghighi/Ethereum-Fraud-Detection-Models development by creating an account on GitHub.
Business Wire

DataVisor Launches the Fastest and Most Accurate Algorithms for Real-Time, High-Volume Computation for Fraud Detection

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Today, DataVisor, the world’s leading AI-powered fraud and risk platform, launched a groundbreaking solution that computes hotspot, distinct count, and ...
The Tech EdvocateOpinion

Toxic Algorithms: Why Your Bank’s AI Could Cost You Everything

Spread the love“`html Artificial intelligence, once the stuff of science fiction, has firmly cemented itself into the bedrock ...
BIOENGINEER

Intelligent Undersampling Algorithm Enhances Machine Learning Accuracy on Imbalanced Data

Computer scientists have developed an intelligent undersampling framework that combines density-aware boundary selection with ...