IEEE

ABL-SMOTE: A Novel Resampling Method by Handling Noisy and Borderline Challenge for Imbalanced Dataset for Software Defect Prediction

Abstract: Machine learning algorithms face important implementation difficulties due to imbalanced learning since the Synthetic Minority Oversampling Technique (SMOTE) helps improve performance ...

A 4 a.m. scramble turned Anthropic's leak into a 'workflow revelation'

Sigrid Jin woke up to chaos and shipped "Claw Code" by breakfast. Here's everything it taught the world.

Claude Code is scanning your messages for curse words

Among the wildest revelations in Claude Code's recent leak is that the AI coding tool is scouring user inputs for signs of ...
GitHub

Azure AI Content Understanding Samples (Python)

Welcome! This repository contains REST API tutorial samples that demonstrate how to use the Azure AI Content Understanding service directly via HTTP calls with thin Python convenience wrappers. These ...
IEEE

Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification

Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...