Tag: neural networks

Researchers have developed MFKR Net, a lightweight deep learning model that identifies individuals from contactless middle finger knuckle images with ...

Researchers have developed a vertical federated deep learning framework using a binary manta ray optimization algorithm that selects cancer-related genes ...

Researchers have developed SLAW, a training framework that adapts label smoothing to the sharpness of the loss landscape and reweights ...

Researchers at the Universidad de Sevilla have built a low-cost, real-time pain assessment system that combines four inexpensive biosensors with ...

A new survey argues that the evolution of deep clustering is fundamentally the evolution of the prior knowledge embedded in ...

Researchers in China have developed NERA-Net, a framework that prevents the early loss of spatial details in few-shot semantic segmentation ...

Researchers show that recalibrating crowdsourced probability judgments with a cognitive model of human bias makes medical image datasets and the ...

Researchers have developed MDG-Net, a retinal vessel segmentation network that abandons traditional skip connections in favor of a multilevel decoder ...

Researchers at the University of Delhi have used artificial and Bayesian neural networks to calibrate gamma-ray burst energy relations without ...

A new study shows that automated metaheuristic hyper-parameter optimization substantially boosts the accuracy of Hinton's memory-efficient Forward-Forward training algorithm across ...