Abstract: With the advancements in technology and monitoring tools, we often encounter multivariate graph signals, which can be seen as the realizations of multivariate graph processes, and revealing ...

Abstract: Graph learning from stationary multivariate time series typically involves hypothesis testing based on test statistics defined over the full frequency range or just a discrete set of ...

Accurate prediction of short-term passenger flow is very important for rational planning and stable operation of cities, however, the problem of passenger flow prediction faces many challenges, ...

Data, data, data! Just like any other sector in the ever-evolving world of human resources, data-driven decisions are becoming more critical than ever. To harness the power of HR data, it’s essential ...

This is a tool that interactively explores the DBPedia Knowledge Graph. The user inputs a list of people, companies, places, etc. and entities in DBPedia are identified using SPARQL queries and a ...

There's no shortage of plugins that promise to be THE all-in-one solution for all things SEO. Unfortunately, this often means lack of flexibility, confusing implementation, or just a big, bloated ...

The majority of diseases that are a significant challenge for public and individual heath are caused by a combination of hereditary and environmental factors. In this paper we introduce Lineage, a ...

The following example employs multivariate analysis of variance (MANOVA) to measure differences in the chemical characteristics of ancient pottery found at four kiln sites in Great Britain. The data ...