The effectiveness of traditional traffic prediction methods, such as autoregressive or spatio-
temporal models, is often extremely limited when forecasting traffic dynamics in early …

Breathalyzers, the standard quantitative method for assessing inebriation, are primarily
owned by law enforcement and used only after a potentially inebriated individual is caught …

The widespread use of temporal aspects in user modeling indicates their importance, and
their consideration showed to be highly effective in various domains related to user …

Accurate predictions about future events is essential in many areas, one of them being the
Tourism Industry. Usually, cities and countries invest a huge amount of money for planning …

Human activity is one of the most important pieces of context affecting an individual's
information needs. Understanding the relationship between activities, time, location, and …

In this paper, we present a three-step methodological framework, including location
identification, bias modification, and out-of-sample validation, so as to promote human …

The design of computational methods to recognize alcohol intake is a relevant problem in
ubiquitous computing. While mobile crowdsensing and social media analytics are two …

There has been an explosion of research on analyzing social media to map human behavior
relevant to public health, such as drinking or drug use. However, it is important not only to …

Abstract Introduction and Aims Infoveillance approaches (ie surveillance methods using
online content) that leverage big data can provide new insights about infectious disease …

Analyses of urban spaces have often stressed the importance of both the density and
diversity of the people they attract. However, the diversity of people is a challenging concept …