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 ...

Read more about AI breakthroughs transform medical imaging, paving way for earlier diagnosis and better care on Devdiscourse ...

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

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

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 ...

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.

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

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