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 ...
Decrypt

Anthropic Accidentally Leaked Claude Code's Source—The Internet Is Keeping It Forever

Anthropic is scrambling to contain the leak, but the AI coding agent is spreading far and wide and being picked apart.
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 ...
Engadget

Claude Code and Cowork can now use your computer

Anthropic announced today that its Claude Code and Claude Cowork tools are being updated to accomplish tasks using your computer. The latest update will see these AI resources become capable of ...
Analytics Insight

How AI Is Reshaping the Way Python Developers Write and Secure Code

Python is now one of the fastest-growing programming languages being used globally and supports machine-learning-based pipelines, web-based applications, and automation tools. The rapid increase in ...