Tag: feature

A systematic benchmark reveals that biologically structured module representations offer feature stability across breast cancer datasets without consistently outperforming gene-level ...

A deep feature extraction framework enhances traditional classifiers to predict long-term loan delinquency transitions using tabular credit data with short ...

Researchers developed SFMDet, an augmented YOLOv12-based framework combining state-space scanning and cross-attention to improve object detection across cluttered construction environments.

Researchers report the first systematic feature selection strategies for MinHash-based classifiers, achieving statistically significant gains in most of five real-world ...

Researchers developed the CFS-DETR framework to improve agglomeration detection in fiber ultrastructure scanning electron microscopy across shifting scales.

A new hierarchical feature attention network reconstructs high-resolution images from low-resolution inputs while keeping the model below one million parameters.

Researchers have introduced CAE-IDS, an intrusion detection framework that pairs a Concrete Autoencoder-based feature selection mechanism with Bayesian hyperparameter optimization, ...

A new study reports that changing how intrusion detection data is prepared before it reaches an AI model can lift ...

A new entropy-weighted feature selection method trims 13 clinical attributes down to 8 and pushes heart disease prediction accuracy to ...

A single-center case-control study found that machine-learning analysis of molecular features in exhaled breath distinguished 99 men with established gout ...