Tag: class imbalance

A comparative study finds that a fine-tuned DistilBERT pipeline reliably detects deceptive hotel reviews while a Perceiver-based pipeline collapses toward ...

Researchers have built DepressNet, an interpretable stacking-ensemble machine learning framework that stratifies depression severity into five levels from DASS-42 questionnaire ...

A hybrid CNN–BiLSTM network with additive attention classifies brain MRI into four Alzheimer's disease stages with 95.94% slice-level accuracy, while ...

A hybrid model pairing a ConvNeXt backbone with a Kolmogorov–Arnold Network head reaches 94.5 percent accuracy in four-way Alzheimer's staging ...

Researchers combined diffusion-generated synthetic retinal images, contrastive self-supervised pre-training, and a five-model ensemble to reach 95.1 percent accuracy in diabetic ...

Surgeons and statisticians from Barcelona argue that neutral machine learning results in abdominal wall surgery reveal when large registries lack ...

A two-stage machine learning framework can predict health insurance claim denials before submission and assign likely reason codes, achieving a ...

Researchers have developed a semi-supervised, domain-adaptive intrusion detection algorithm that combines mutual-information-maximizing adversarial networks with uncertainty-aware pseudo-labeling to detect attacks ...

A feasibility study of 96 professionals shows that eye tracking, speech acoustics, and transcripts captured in virtual reality can support ...

Researchers released QAMQOR, a public benchmark from 47 hours of robot-assisted autism therapy video showing that evaluation protocols, not algorithms, ...