In the last decade, auxiliary information has been widely used to address data sparsity. Due to the advantages of feature extraction and the no-label requirement, autoencoder-based methods addressing ...

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...

Patents are valuable for the generation of novel ideas through technological discovery. In recent years, scientists have made ...

A generative AI framework predicts stable antiferromagnets, identifying semiconductors and metals with properties suited for ...

A powerful new software tool that can accurately predict the performance of biofilters used by the water industry could reduce the challenge of maintaining the purity of tap water.

Recent advances in feature selection methods for breast cancer recurrence prediction: A systematic review. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...

The key challenge in credit card fraud detection lies in the imbalance between legitimate and fraudulent transactions. Fraud ...

Data shows that over 60% of drivers exhibit irregular behaviors while driving, such as sudden acceleration and frequent lane changes. These behaviors not only affect driving safety but may also ...

Changan Automobile Applies for Driving Style Recognition Patent, Leading a New Trend in Intelligent Driving ...

Chiranjeevi Devi's research focuses on building reliable data systems through anomaly detection, DevSecOps automation, and policy-as-code for compliance.