Tag: multimodal learning

Researchers have developed MMA-HNS, a framework that keeps multimodal knowledge graph completion accurate even when the textual descriptions of entities ...

Researchers in India have published a detailed mathematical blueprint for a spatio-temporal graph foundation model designed to learn continuously from ...

A new multimodal AI framework ranks classroom features by importance with 88.6 percent prediction accuracy, identifying linguistic coherence, student engagement, ...

Researchers in South Korea have developed a multimodal deep learning model that fuses visual analysis and textual rubrics to automatically ...

A new framework in Educational Psychology Review identifies seven dimensions, from iconicity to cultural familiarity, that explain why some instructional ...

Researchers have introduced HGA-Net, a hypergraph-based adapter that connects related examples within each mini-batch and achieves near-perfect fine-grained recognition with ...

Researchers have developed GRaFiT, an image-text classification framework that dynamically reroutes fusion at the token, branch, and view levels to ...

A scientometric analysis of 4,269 publications charts how sentiment analysis evolved from lexicon-based polarity detection to aspect-based, multimodal, foundation-model-driven sentiment ...

Researchers in China have built a multimodal dataset of real classroom lessons and an emotion dual-space network that reads teachers' ...

Researchers in Vietnam show that multimodal intrusion detection systems hardened with adversarial training can resist transferable adversarial examples generated by ...