In the fast-paced world of online transactions, fraud prevention is a critical challenge for businesses. As fraud tactics ...

Orbitofrontal cortex and hippocampus reinstate representations of causal choices to associate with delayed outcomes, and the frontal pole supports this credit assignment process by maintaining pending ...

If you use this code please cite the following papers: @article{roy2019quicknat, title={QuickNAT: A fully convolutional network for quick and accurate ... @article{roy2019bayesian, title={Bayesian ...

According to the results of information gain, R and Netica were used to build the Bayesian network model and implement Bayesian inference, respectively. Stata15.0 was used for data analysis and p < ...

This is PyTorch re-implementation for Bayesian Convolutional Neural Networks.The BNN is constructed based on the architecture of the U-Net++ . The Concrete dropout layers are added prior to every ...

However, these trials are complex, require significant time and resources and raise ethical concerns, particularly due to practices such as randomizing participants to different interventions and ...

When it comes to deciding between building your own AI software solution or purchasing existing software, it’s not about one ...

North Country Healthcare is a collection of 13 small, rural healthcare centers in Northern Arizona trying to implement ...

For decision-makers looking to future-proof their organizations, the next generation of networking presents clear investment ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...