Tag: class imbalance

The expert-annotated CODIPAD dataset provides 5,055 labeled fragments of written patient discourse for training systems that detect and classify cognitive ...

A new forensic framework fuses network traffic metrics with physiological payload data, detecting data-alteration attacks on medical devices with an ...

Most intrusion detection research is tested on artificially balanced datasets, where attack and benign records appear in equal numbers. A ...

A proof-of-concept study in Bangladesh shows a Tree-Augmented Naive Bayes model using routine complete blood count data detected dengue with ...

A new graph neural network framework called EGNN expands rare attack samples and uses threshold-controlled pseudo-labeling to improve intrusion detection ...

A study of 762,106 buildings damaged in Nepal's 2015 Gorkha earthquake combines an MLP classifier with imbalance correction, sensitivity analysis, ...

A new computational framework combines protein interaction network topology with imbalance-aware ensemble machine learning to identify cancer driver genes, achieving ...

Researchers have developed FireMID, a firefly-inspired framework that combines feature selection and oversampling to improve DDoS attack detection on imbalanced ...

A new review argues that deep learning skin lesion analysis must prove itself through external validation, fairness and clinical utility ...

A hybrid ResNet50–VGG16 model with Coordinate Attention and focal loss reached a macro F1-score of 0.718 on the 22-class GastroVision ...