New algorithm identifies disease-linked changes in cells without prior training

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

Hidden seismicity patterns before large earthquakes uncovered

When and where the next large earthquake will strike remains one of the most difficult questions in geoscience. Researchers ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Semi-Supervised and Unsupervised Deep Visual Learning: A Survey

Abstract: State-of-the-art deep learning models are often trained with a large amount of costly labeled training data. However, requiring exhaustive manual annotations may degrade the model's ...
IEEE

Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering

Abstract: Class imbalance problem has been extensively studied in the recent years, but imbalanced data clustering in unsupervised environment, that is, the number of samples among clusters is ...
GitHub

Linfeng-Tang/VIF-Benchmark

这些方法包括：CSF, CUFD, DIDFuse, DIVFusion, DenseFuse, FusionGAN, GAN-FM, GANMcC, IFCNN, NestFuse, PIAFusion, PMGI, RFN-Nest, SDNet, STDFusionNet, SeAFusion ...