Tag: Transfer Learning

An international study of 30 neonatal intensive care units shows that continual learning can adapt adult-trained AI models to newborn ...

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 developed a two-step machine-learning method that predicts small-molecule retention times in liquid chromatography for any experimental setup without ...

Researchers in India have built a lightweight, attention-guided deep learning model that classifies 33 bacterial species from Gram-stained microscope images ...

A Chinese research team used CT radiomics and machine learning to distinguish harmless ground-glass lung nodules from invasive adenocarcinoma with ...

An independent evaluation in PLOS Digital Health finds that deep learning models excel at breast cancer detection from medical images ...

A new Perspective proposes a system-level framework of transferable predictive maintenance that keeps battery health predictions reliable as storage assets ...

Researchers built a two-stage, biomimetically inspired AI pipeline that detects primary bone tumors on X-rays while respecting strict false-alarm budgets, ...

A controlled head-to-head study shows Vision Transformers beat convolutional networks on real X-ray diffraction data once fine-tuned, while CNNs remain ...

A free web platform called ArchMap now allows researchers to map single-cell datasets onto published reference atlases and annotate cell ...

Researchers at ETH Zürich have shown that self-supervised pretraining on simulated detector data can teach a single neural encoder to ...

Researchers report that a data-efficient vision transformer classified lung cancer histopathology images with 98.64 percent accuracy and near-perfect AUC while ...