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 ...
Tech Xplore on MSN
Software tool shows clear advantage in water purity prediction
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.
Tech Xplore on MSN
AI-based patent abstract generator can discover and detail technology opportunities
Patents are valuable for the generation of novel ideas through technological discovery. In recent years, scientists have made ...
The key challenge in credit card fraud detection lies in the imbalance between legitimate and fraudulent transactions. Fraud ...
Chiranjeevi Devi's research focuses on building reliable data systems through anomaly detection, DevSecOps automation, and policy-as-code for compliance.
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