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 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...

The aim of this study was to assess short-term delayed effects of Kinesio taping (KT) on maximal cycling performance. A design with repeated measures was used. Fifteen healthy...

Mass participation sporting events (MPSEs) are viewed as encouraging regular exercise in the population, but concerns have been expressed about the extent to which they are...

The aim of this study was to investigate whether volleyball-specific skills, physical performance, and general cognitive functions differ between players of different...

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,...

Scikit-mobility is a library for human mobility analysis in Python. The library allows to: represent trajectories and mobility flows with proper data structures, TrajDataFrame...

Soccer analytics is attracting increasing interest in academia and industry, thanks to the availability of sensing technologies that provide high-fidelity data streams for...

The framework provides a visual interface to a series of analytical processes for the comprehension of human mobility patterns. The framework is feeded with a series of models...

The dataset comprises pickup and drop-off times and locations of vehicles in 10 European cities for one of the major free-floating car sharing operator. For nine of these...

The dataset contains mobile phone records collected in Tuscany between September 2015 and August 2016. It contains Call Data Records (CDRs) of phone users, and the corresponding...

The dataset contains mobile phone records collected in Rome between November 2015 and August 2016. It contains Call Data Records (CDRs) of phone users, and the corresponding...

A dataset of the Global Peace Index (GPI), which ranks 163 independent states and territories according to their level of peacefulness. The GPI covers 99.7 per cent of the...

The recent years have witnessed the rise of accurate but obscure decision systems which hide the logic of their internal decision processes to the users. The lack of...

MARLENA is novel technique able to explain the reasons behind any black-box multi-label classifier decision. It will generate an explanation in the form of a decision rule....

The yeast dataset is a collection of yeast microarray expressions and phylogenetic profiles which can be used to learn the yeast gene functional categories. One row of this...

The medical dataset contains a corpus of fully anonymized clinical text. Each document in the corpus is associated with a set of ICD-9 codes which represents the diagnosis...

In the german credit dataset each one of the 1,000 persons is classified as a good or bad creditor according to attributes like age, sex, checking_account, credit_amount,...

The compas dataset contains the features used by the COMPAS algorithm for scoring defendants and their risk (Low, Medium and High), for over $4,000$ individuals. We considered...