Effective explosives detection requires dogs to generalize their response to untrained variations of targets that are related to those with which they were trained. Previous research suggests that ...

1 Atlanta Veterans Affairs Medical Center, Mental Health Service Line, Decatur, GA, USA 2 Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA ...

Deep learning architectures such as recurrent neural networks and convolutional neural networks have seen many significant improvements and have been applied in the fields of computer vision, speech ...

Abstract: Generalization to out-of-distribution (OOD) data is a capability natural to humans yet challenging for machines to reproduce. This is because most learning algorithms strongly rely on the ...

Abstract: Effective clinical deployment of deep learning models in healthcare demands high generalization performance to ensure accurate diagnosis and treatment planning. In recent years, significant ...

It’s a question that’s been around for a very long time: which is better to focus on, specialization or generalization? Many people have to ask themselves this as they develop skills for a future ...