Tag: Machine learning

Researchers at Donghua University have developed RFLDefense, a layer-wise defense framework that suppresses backdoor attacks in federated learning even when ...

Researchers show that conformal prediction set sizes and miscoverage changes can distinguish label noise from covariate shift in deployed classifiers ...

Researchers have developed KARAMEL, a knowledge-aware framework that fuses vision-language encoding with heterogeneous graph neural networks to link artworks to ...

A machine-learning model that scored near-perfectly on a Chinese lead–zinc deposit collapsed when tested across a mirror-inverted fault system, revealing ...

Researchers in Algeria have combined convolutional neural networks with a Swin Transformer to detect network intrusions with up to 99.69 ...

A longitudinal machine learning study of 1,181 Chinese elementary school students found that a simple logistic regression model outperformed seven ...

Researchers in China built a six-variable nomogram from national CHARLS survey data that uses logistic regression and SHAP analysis to ...

Researchers in Iran have built a copula-based Joint Drought Index and hybrid machine learning models that predict multivariate drought with ...

Researchers have developed NIXVEGS, an open-source machine learning tool that predicts microplastic concentrations across an entire Baltic estuary from just ...

Researchers used Bayesian optimization with Gaussian process surrogate modeling to design microfluidic deterministic lateral displacement chips that separate circulating tumor ...