Researchers have developed SLF–FST, a stress-testing framework that injects progressive label bias into training data and reveals that Random Forests...

Researchers at the Vellore Institute of Technology have built NEXUS-Rec, a five-signal neural recommender that outperforms strong baselines on MovieLens...

Researchers in China have developed a content-guided attention network that restores color and detail in underwater images through efficient fusion...

Researchers have developed a generative adversarial network framework called StegoAdv-GAN that hides extractable secret messages inside images while simultaneously generating...

Researchers in India have developed TDE-RYOLO, a deep learning framework that combines image dehazing, a modified YOLOv9 detector, and Poisson-based...

An internationally validated deep learning model trained on genomes from more than 47,000 people can distinguish ALS patients from controls...

A new study shows that popular AI explanation methods produce nearly identical heatmaps for different class labels, and introduces CASE,...

Researchers in China have developed a graph neural network algorithm that models item, category and author signals from short-term viewing...

A new parallel deep learning framework combining CNN and Transformer branches with thermodynamic regularization improves the prediction of mutation-induced protein...

Researchers have developed a parallel long short-term memory network with self-attention that reaches 91.6 percent accuracy in recognizing sentiment in...