Tag: transfer learning

Researchers have developed an unsupervised domain adaptation method that lets dialogue summarization models learn from annotated news data and bridge ...

Researchers in India have developed a hierarchical feature fusion transformer that identifies seventeen jute pest species with 98.43 percent accuracy, ...

Researchers in Tokyo have developed a transfer learning framework that encodes the topology of a source domain's feature space into ...

Researchers have reformulated multi-class classification as a many-objective problem in which each class is a separate goal, using evolutionary neural ...

A new benchmark study shows that data augmentation lifts pre-trained deep learning models to up to 98.06% accuracy in classifying ...

Researchers in Türkiye combined transfer learning with MobileNetV2, Xception, and classical classifiers to classify five rice varieties with up to ...

Researchers have built an explainable ensemble deep learning framework that fuses four transfer learning models using CMAES optimization to classify ...

Researchers in Algeria built a soft-voting ensemble of three convolutional neural networks that classifies breast cancer histopathology images with 97.12 ...

A new physics-constrained transfer learning framework lets AI retrieval algorithms trained on one weather satellite work accurately on another, improving ...

Researchers have retrained a biomedical AI model to automatically measure sediment grains with record accuracy across photographs and X-ray scans, ...