Tag: feature selection

A new deep residual framework that uses coot bird-inspired optimization to select feature representations achieves 97.9% recognition accuracy on the ...

Researchers at SRM University have developed a fuzzy–rough set-based gene selection method that consistently shortens selection time across nine benchmark ...

Researchers in China have developed a decision framework that combines weighted neighborhood rough sets with ordinal regression to reveal hidden ...

Researchers paired a validated PLAXIS 3D finite element model with kernel-based Support Vector Machines to predict soil bearing capacity with ...

Researchers have developed a vertical federated deep learning framework using a binary manta ray optimization algorithm that selects cancer-related genes ...

A new systematic review in Artificial Intelligence Review maps how multi-objective optimization algorithms are being used to balance accuracy, false ...

Researchers have unveiled Hydra, an interpretable ensemble deep learning framework that jointly performs feature selection and cell type annotation across ...

Researchers in India have combined moth-inspired optimization, differential evolution and attention-based TabNet to predict vehicle maintenance failures with 97.6 percent ...

A hybrid XGBoost-based machine learning framework has distilled Crohn's disease risk prediction down to just 15 genetic variants, achieving over ...

Researchers have developed an immune cooperative hybrid breeding optimization algorithm that selects features more effectively for intrusion detection, outperforming 13 ...