Tag: class imbalance

A rigorous evaluation of 126 machine learning pipelines on data from more than 3,000 Golden Retrievers shows that routine laboratory ...

Researchers at Manipur University have developed EF²RB, an ensemble feature selection framework that boosts IoT intrusion detection accuracy to between ...

A Kazakhstani research team shows that physically structured features and calibrated baselines, not model architecture, drive a tenfold improvement in ...

Researchers have developed a geometry-aware oversampling method that uses neural density fields and meta-learning to generate synthetic minority-class samples adapted ...

A new baseline study shows that deep learning can learn meaningful microstructural information from severely imbalanced ultra-high carbon steel images, ...

Turkish researchers show that behavior-preserving code refactoring used to synthesize training data, combined with GraphCodeBERT embeddings, markedly improves deep learning ...

Researchers at Yantai University have developed SSAO, an adaptive oversampling method that uses Gaussian mixture model clustering and minimum enclosing ...

Researchers have developed a noise-robust over-sampling method called mZ-cEAMD that outperforms SMOTE-based techniques in classifying defective car transmissions from severely ...