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

This algorithm simulates the outcomes of an entire season of each team of a football league only relying on technical data (i.e., excluding the goals scored), by exploiting a...

The use of machine learning (ML) in soccer allows for the management of a large amount of data deriving from the monitoring of sessions and matches. Although the rate of...

Wrist-worn wearable devices equipped with heart rate (HR) sensors have become increasingly popular. The ability to correctly interpret the collected data is fundamental to...

The problem of evaluating the performance of soccer players is attracting the interest of many companies and the scientific community, thanks to the availability of massive...

Top 10 most retweeted accounts on Covid-related keywords, between Jan 30 and Mar 20, 2020.

This dataset contains the Twitter tweet_ids from the Timelines of 584 members of British Parliament (collected between 4th and 6th of March 2022). The users are identified from...