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 ...

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

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 ...

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

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

Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks ...

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

ICS are particularly vulnerable because they often rely on legacy systems, lack strong authentication, and cannot tolerate ...