Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Sigmetrix champions early-stage tolerance analysis to help engineers create manufacturable, high performance products without ...

Graph data analysis has been used in various real-world applications to improve services or scientific research, which, however, may expose sensitive personal information. Differential privacy (DP) ...

A study by Professor Yinhua Huang’s team at China Agricultural University has for the first time constructed a “graph-based pan-genome” for chickens, providing a new tool for ...

Abstract: We consider the problem of recovering a smooth graph signal from noisy samples taken on a subset of graph nodes. The smoothness of the graph signal is quantified in terms of total variation.