Abstract: Graph Convolutional Networks (GCNs) rely heavily on the quality of the input graph, which is often defined by a fixed neighborhood size. This work explores two complementary strategies to ...

Stimulus-based interventions using content with a positive body image or that did not focus on appearance were also identified, achieving moderate effects (ηp²<.07), as well as combined approaches ...

Abstract: Privacy-preserving k-nearest neighbor (PPkNN) classification for multiple clouds enables categorizing queried data into a class in keeping with data privacy ...