Tag: multi-view learning

A new multi-view self-supervised learning framework improves retinal fundus image segmentation by combining wide and narrow field-of-view inputs with grid ...

Researchers have developed AstroAuth-ID, an artificial intelligence framework that combines stylometric, neural semantic, behavioral, and graph-based representations to identify the ...

Researchers have developed a hybrid model that combines RoBERTa contextual embeddings with sentence-level and chunk-level graph neural networks to improve ...

Researchers in Shanghai have developed TECL, a machine learning framework that treats conflicting opinions across multiple data views as valuable ...