Enrique Frías-Martínez

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—Inferring the type of activities in neighborhoods of urban centers may be helpful in a number of contexts including urban planning, content delivery and activity recommendations for mobile web users or may even yield to a deeper understanding of the geographical evolution of social life in the city. During the past few years, the analysis of mobile phone(More)
Digital libraries (DL) have become one of the most typical ways of accessing any kind of digitalized information. Due to this key role, users welcome any improvements on the services they receive from digital libraries. One trend used to improve digital services is through personalization. Up to now, the most common approach for personalization in digital(More)
The gender divide in the access to technology in developing economies makes gender characterization and automatic gender identification two of the most critical needs for improving cell phone-based services. Gender identification has been typically solved using voice or image processing. However, such techniques cannot be applied to cell phone networks(More)
Despite the efforts of governments and the various support programs, achievement of advanced stages of e-commerce by Small and Medium-sized Enterprises (SMEs) is still very low. There have been some attempts to study the dynamic nature of web sites, but there is still little research evidence to explain why and how SMEs evolve their web presence. This paper(More)
The data generated by pervasive infrastructures, and specially cell-phone networks, has been used in the past to improve responses to emergency events such as natural disasters or disease outbreaks. However, very little work has focused on analyzing the social response to an urban earthquake as it takes place. In this paper we present a preliminary study of(More)
Mobile devices have become one of the main sensors of human behavior, and as such, can be used as proxies to study urban environments. In this paper we describe a method to automatically identify land uses from call detail record databases. Given the inherent diversity of human activities in urban landscapes, we use fuzzy clustering techniques to identify(More)
—The pervasiveness of cell phones and mobile social media applications is generating vast amounts of geolocalized user-generated content. Since the addition of geotagging information , Twitter has become a valuable source for the study of human dynamics. Its analysis is shedding new light not only on understanding human behavior but also on modeling the way(More)
Adaptive Hypermedia systems are becoming more important in our everyday activities and users are expecting more intelligent services from them. The key element of a generic adaptive hypermedia system is the user model. Traditional machine learning techniques used to create user models are usually too rigid to capture the inherent uncertainty of human(More)
— The recent adoption of ubiquitous computing technologies (e.g. GPS, WLAN networks) has enabled capturing large amounts of spatio-temporal data about human motion. The digital footprints computed from these datasets provide complementary information for the study of social and human dynamics, with applications ranging from urban planning to transportation(More)
– The problem of automatic signature recognition has received little attention in comparison with the problem of signature verification despite its potential applications for accessing security-sensitive facilities and for processing certain legal and historical documents. This paper presents an efficient off-line human signature recognition system based on(More)