The computation of Graph Epidemics Simulation Recovery performs a simulation of SEIR (Susceptible, Exposed, Infectious, Recovered) dynamics on a graph using the shortest path...

The UWB RADAR dataset consists of time series data acquired from UWB RADAR deployed in a smart office room located in ICAR-CNR, for monitoring human activity detection. Raw...

The Multi-sensor dataset of environmental conditions in smart home consists of time series data acquired from sensors deployed in outdoor of a smart domestic room located in...

The Multi-sensor dataset of environmental conditions in smart office consists of time series data acquired from sensors deployed in smart office rooms located in ICAR-CNR, for...

The Multi-sensor dataset of environmental conditions in smart home consists of time series data acquired from sensors deployed in indoor of a smart domestic room located in...

The Multi-sensor dataset of environmental conditions in smart office consists of time series data acquired from sensors deployed in a smart office located in the ICAR CNR IoT...

This dataset comprises a set of online footprints extracted from Twitter using the available APIs. It is centered around the Brexit debate on Twitter from the 2nd until the...

We use news media attention from the Global Data of Events, Location and Tone (GDELT) database, as a proxy for estimating Global Peace Index (GPI), to complement the knowledge...

Inferring mobile phone users' home location, i.e., assigning a location in space to a user based on data generated by the mobile phone network, is a central task in leveraging...

Nowadays, a hot challenge for supermarket chains is to offer personalized services to their customers. Market basket prediction, i.e., supplying the customer a shopping list...

The DebtRank algorithm is used to estimate the impact of shocks in financial networks, as it overcomes the limitations of the traditional default-cascade approaches.The method...

This method estimates the wellbeing of a country by using an alternative measure to GDP. The proposed measure is the average sophistication of the satisfiable needs of a...

Wearable physiological monitors have become increasingly popular, often worn during people’s daily life, collecting data 24 hours a day, 7 days a week. In the last decade,...

This method describes an analytical framework to nowcast well-being by using mobility measures extracted from mobile phone data.

In the last decade, the number of studies about machine learning algorithms applied to sports, e.g., injury forecasting and athlete performance prediction, have rapidly...

Deep learning for automatic detection of soccer events from broadcasted video Soccer analytics is attracting increasing interest in academia and industry, thanks to the...

The standard deviation of the interval between QRS complexes recorded over 24 h (SDNN24) is an important metric of cardiovascular health. Wrist-worn fitness wearable devices...

Women's football is gaining supporters and practitioners worldwide, raising questions about what the differences are with men's football. While the two sports are often...

A methodology per ranking soccer teams based on soccer logs

An algorithm to forecast the injuries of soccer players given their training workload