Sandia National Laboratories cybersecurity expert Adrian Chavez, left, and computer scientist Logan Blakely work to integrate ...

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 ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

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 ...

On September 11, Gelonghui reported that Jingzhida (688627.SH) stated on its interactive platform that the company continues to innovate in technology and intellectual property layout in the ...

This technology is able to detect abnormalities in the grid and help us understand when we’re having a cyber attack or ...

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 ...

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...

On September 11, Gelonghui reported that Jingzhida (688627.SH) stated on its interactive platform that the company continues to innovate technology and develop intellectual property in the ...