Enrique Puertas Sanz

European University of Madrid | UEM · Science Computation and Technology

Learning from human driver’s strategies for undertaking complex traffic scenarios has the potential to improve decision-making methods for designing ADAS systems, as well as for design self-driving rules for automated vehicles. This paper proposes a human-like decision-making algorithm built up from human drivers experiential naturalistic driving....

This publication presents a dataset of Spanish roundabouts aerial images taken from a UAV, along with annotations in PASCAL VOC XML files that indicate the position of vehicles within them. Additionally, a CSV file is attached containing information related to the location and characteristics of the captured roundabouts. This work details the proce...

This publication presents a dataset consisting of Spanish road images taken from inside a vehicle, as well as annotations in XML files in PASCAL VOC format that indicate the location of Variable Message Signals within them. Additionally, a CSV file is attached with information regarding the geographic position, the folder where the image is located...

Among the reasons for traffic accidents, distractions are the most common. Although there are many traffic signs on the road that contribute to safety, variable message signs (VMSs) require special attention, which is transformed into distraction. ADAS (advanced driver assistance system) devices are advanced systems that perceive the environment an...

Understanding naturalistic driving in complex scenarios is an important step towards autonomous driving, and several approaches have been adopted for modeling driver’s behaviors. This paper presents the methodology known as “Think Aloud Protocol” to model driving. This methodology is a data-gathering technique in which drivers are asked to verbaliz...

Navigating roundabouts is a complex driving scenario for both manual and autonomous vehicles. This paper proposes an approach based on the use of the Q-learning algorithm to train an autonomous vehicle agent to learn how to appropriately navigate roundabouts. The proposed learning algorithm is implemented using the CARLA simulation environment. Sev...

This article presents a machine learning-based technique to build a predictive model and generate rules of action to allow autonomous vehicles to perform roundabout maneuvers. The approach consists of building a predictive model of vehicle speeds and steering angles based on collected data related to driver–vehicle interactions and other aggregated...

This paper presents the results obtained in the design and development of a Digital Storytelling based app to help children and young people with developmental or intellectual disabilities (IDD) to learn their rights. During its design and development there has always been feedback from students with IDD. This paper presents the results obtained an...

Introducción Cuando un paciente con enfermedad renal crónica (ERC) llega a las etapas finales, en las que necesita una terapia de reemplazo renal, una de las opciones más utilizadas es la hemodiálisis. Este tratamiento, que es ambulatorio en centros especializados, suele durar una media de 4 horas, 3 veces por semana1,2. Pacientes en hemodiálisis:...

The Convention on the Rights of Persons with Disabilities (CRPD), approved in 2006, has been ratified by 160 countries. The CRPD defines 23 fundamental rights and freedoms that all persons with intellectual disabilities (ID) of any kind should enjoy. Easy reading guides have been developed, in order to make it easier for people with IDs to understa...

Recent advances in wireless sensors technology applied to e-health allow the development of “personal medicine” concept, whose main goal is to identify specific therapies that make safe and effective individualized treatment of patients based, for example, in health status remote monitoring. Also the existence of multiple sensor devices in Hospital...

In order of maintain the sustainability of the public health systems it is necessary to develop new medical applications to reduce the affluence of chronic and dependent people to care centers and enabling the management of chronic diseases outside institutions Recent advances in wireless sensors technology applied to e-health allow the development...

The aging population and economic crisis specially in developed countries have as a consequence the reduction in funds dedicated to health care; it is then desirable to optimize the costs of public and private healthcare systems, reducing the affluence of chronic and dependent people to care centers; promoting healthy lifestyle and activities can a...

The aging population and economic crisis specially in developed countries have as a consequence the reduction in funds dedicated to healthcare, is then desirable to optimize the costs of public and private healthcare systems reducing the affluence of chronic and dependent people to care centers; promoting healthy lifestyle and activities can allow...

In order of maintain the sustainability of the public health systems it is necessary to develop new medical applications to reduce the affluence of chronic and dependent people to care centers and enabling the management of chronic diseases outside institutions Recent advances in wireless sensors technology applied to e-health allow the development...

The present paper deals with partial development of SAMPLER Framework, based on an on-board perception and pre-collision system as well as an event data recorder (EDR), aimed at identifying risky traffic situations in urban areas. Information relayed to the detected risky traffic situations are then exploited to find out remarkable urban traffic ho...

This paper presents an on-board perception and pre-collision system, aimed at detecting traffic risky situations in urban areas, as well as trying to avoid collision with other traffic participant deploying automatic braking and/or evasive steering maneuver. Information related to the detected risky situations is recorded in a vehicles' local datab...

In this paper, we present a computer learning tool aimed at helping medical undergraduate students in the process of understanding biomedical concepts in clinical case histories. The system automatically detects concepts and biomedical entities in the text and presents them to the user linked to rich content extracted from Linked Open Data resource...

This paper aims to introduce a mobile application for accessing biomedical information extracted from public open resources like Freebase, DBPedia or PubMed. Our app exploits the interlinked feature of those sources for easing the access to heterogeneous resources. App was developed using HTML5 and Javascript and then it was compiled to different p...

In this paper we present a novel contribution work, describing a system that helps to detect urban areas with high density of incidents or risk situations. Our system has a perception and pre-collision system that feed an expert system aimed at detecting dangerous situations. All incidents gathered by the vehicles are sent to a global repository, a...

In this paper we present a novel contribution work, describing a system that helps to detect urban areas with high density of incidents or risk situations. Our system has a perception and pre-collision system that feed an expert system aimed at detecting dangerous situations. All incidents gathered by the vehicles are sent to a global repository, a...

Primary security systems are oriented to avoid accidents, secondary, on the other hand, focus in reducing the consequences of them. There is a group of systems that stands halfway of both sets, they use information sources from first set, but usually they pursue the objectives of the second set, they are pre-collision systems. Pre-collision systems...

Resumen. Este año se ha puesto en práctica en la Escuela Politécnica de la Universidad Europea de Madrid el proyecto Project Based Engineering School, consistente en la inclusión en todos los cursos de todas las titulaciones de un proyecto integrador utilizando la metodología PBL (Project Based Learning). Los objetivos son varios: potenciar un cono...

MDFaces (Multi-Domain Faces) is an intelligent system that allows recognition of relevant concepts in texts, from different domains, and shows detailed and semantics information related to these concepts. For its development, it is have been employed a methodology that uses a general knowledge ontology called Freebase. In particular, we have implem...

In more and more application areas large collections of digitized multimedia information are gathered and have to be maintained (e.g. in tourism, medicine, etc). Therefore, there is an increasing demand for tools and techniques supporting the management and usage of digital multimedia data. Furthermore, new large collections of data are available t...

Resumen: El proyecto plantea analizar, experimentar y desarrollar nuevas tecnologías de minería de texto y datos, de forma interrelacionada en sistemas inteligentes de información médica. Se implementará un sistema inteligente de acceso a la información basado en ellas, que ofrezca funcionalidades avanzadas con capacidad para interrelacionar la inf...

The large amount of medical information available through the Internet, in both structure and text formats, makes that different types of users will encounter different problems when they have to carry out an effective search. On the one hand, medical students, health staff and researchers in the field of biomedicine have a variety of sources and t...

La pornografía constituye, ya desde los comienzos de Internet, un tipo de contenidos muy extendido y fácilmente localizable. Tal es así, que la propia industria pornográfica ha cambiado para adaptarse a esta nueva realidad. Y al mismo ritmo que se ha extendido la pornografía digital, se han extendido también las herramientas de filtrado de contenid...

In recent years, email spam has become an increasingly important problem, with a big economic impact in society. In this work, we present the problem of spam, how it affects us, and how we can fight against it. We discuss legal, economic, and technical measures used to stop these unsolicited emails. Among all the technical measures, those based on...

ABSTRACT We consider the problem,of content-based spam,filtering for short text messages that arise in three contexts: mobile (SMS) communication, blog comments, and email summary,information such as might be displayed by a lowbandwidth,client. Short messages often consist of only a few words, and therefore present a challenge to traditional bag-of...

Mobile spam in an increasing threat that may be addressed using filtering systems like those employed against email spam. We believe that email filtering techniques require some adaptation to reach good levels of performance on SMS spam, especially regarding message representation. In order to test this assumption, we have performed experiments on...

Text Classification tasks are becoming increasingly popular in the field of Information Access. Being approached as Machine Learning problems, the definition of suitable attributes for each task is approached in an ad-hoc way. We believe that a more principled framework is required, and we present initial insights on attribute engineering for Text...

In the recent years, we have witnessed a dramatic increment in the volume of spam email. Other related forms of spam are increasingly revealing as a problem of importance, specially the spam on Instant Messaging services (the so called SPIM), and Short Message Service (SMS) or mobile spam. Like email spam, the SMS spam problem can be approached wit...

On-line access to patient clinical records from pocket and hand-held or tablet computers, will be an useful tool for health care professionals and a valuable complement to other medical applications if information delivery and access information systems are designed with handheld computers in mind. In this paper we present and discuss some partial...

Effective Web content filtering is a necessity in educational and workplace environments, but current approaches are far from per- fect. We discuss a model for text-based intelligent Web content filtering, in which shallow linguistic analysis plays a key role. In order to demon- strate how this model can be realized, we have developed a lexical Nam...

In this paper we explore the potential of concept indexing with WordNet synsets for Text Categorization, in comparison with the traditional bag of words text representation model. We have performed a series of experiments in which we also test the possibility of using simple yet robust disambiguation methods for concept indexing, and the effectiven...

In this paper, we describe Hermes, a multilingual news filtering service that sends its users a customized enewspaper by email through the use of several text classification techniques, including categorization, summarization and relevance feedback. Hermes is based on a user model far richer than most current newspapers personalization services. Th...

Spam filtering is a text categorization task that shows especial features that make it interesting and difficult. First, the task has been performed traditionally using heuristics from the domain. Second, a cost model is required to avoid misclassification of legitimate messages. We present a comparative evaluation of several machine learning algor...

Internet provides to the children an easy access to pornography and other harmful materials. In order to improve the effectiveness of existing filters, we present POESIA, a project which objective is to develop and evaluate an extensible open-source Internet filtering software in educational environments. Internet proporciona a los niños acceso a l...

In this work, we present a system for categorizing photographs based on the text of their captions. The system has been developed as a part of the system CODI, an e-commerce application for an Spanish news agency. The categorization system makes able to the user the personalization of their information interests, improving search possibilities in t...

Spam ltering is a text categorization task that shows especial features that make it interesting and dicult. First, the task has been performed traditionally using heuristics from the domain. Second, a cost model is required to avoid missclassication of legitimate messages. We present a comparative evaluation of several machine learning algorithms...

Spam filtering is a text categorization task that shows especial features that make it interesting and difficult. First, the task has been performed traditionally using heuristics from the domain. Second, a cost model is required to avoid misclassification of legitimate messages. We present a comparative evaluation of several machine learning algor...

Spam filtering is a text categorization task that shows especial features that make it interesting and difficult. First, the task has been performed traditionally using heuristics from the domain. Second, a cost model is required to avoid misclassification of legitimate messages. We present a comparative evaluation of several machine learning algor...

El sistema Mercurio es un servidor personalizado de noticias que trabaja con una representación del cliente basada en los últimos avances sobre modelado de usuario. El servidor de noticias está desarrollado como una aplicación Java que recibe suscripciones de los clientes a través de una página web. Durante el proceso de suscripción el cliente espe...

El creciente problema del acceso a contenidos inapropiados de Internet se puede abordar como un problema de categorización automática de texto sensible al coste. En este artículo presentamos la evaluación comparativa de un rango representativo de algoritmos de aprendizaje y métodos de sensibilización al coste, sobre dos colecciones de páginas Web e...

El proyecto Hermes tiene como objetivo el desarrollo de un sistema personalizado inteligente de acceso a la información en un entorno bilingüe, español e inglés. El sistema proporciona una alta efectividad e información especialmente adaptada al cliente, basándose en la utilización de técnicas avanzadas del contenido textual y modelado de usuario....