Raquel Ureña

• PhD Artificial Intelligence
• Associate professor at Aix-Marseille University

Antibiotic resistance in bacterial pathogens is a major threat to global health, exacerbated by the misuse of antibiotics. In hospital practice, results of bacterial cultures and antibiograms can take several days. Meanwhile, prescribing an empirical antimicrobial treatment is challenging, as clinicians must balance the antibiotic spectrum against...

Antibiotic resistance of bacterial pathogens is considered by the World Health Organization as a major threat to global health aggravated by the misuse of antibiotics. In clinical practice results of bacterial cultures and antibiograms can take several days. In the meantime, prescribing an empirical antimicrobial treatment constitutes a challenge i...

In the era of social media, consumers interact and exchange information, subjective opinions, feelings or thoughts about a given issue, a product or a service, via Web 2.0 technologies. As a result, electronic Word of Mouth, eWOM, has gained increasing influence on the formation of user opinions. Therefore, extracting and analyzing eWOM statements...

BACKGROUND Mobile and wireless technology utilization is expected to change the landscape of healthcare service delivery, especially given that there are more than 7 billion mobile telephone subscriptions around the world OBJECTIVE This systematic review aims to showcase existing mobile health (m-health) applications (apps) for cancer recovering p...

The world wide success of large scale social information systems with diverse purposes, such as e-commerce platforms, facilities sharing communities and social networks, make them a very promising paradigm for large scale information sharing and management. However the anonymity, distributed and open nature of these frameworks, that, on the one han...

The development of innovative solutions that allow the aging population to remain 1 healthier and independent longer is essential to alleviate the burden that this increasing segment of the 2 population supposes for the long term sustainability of the public health systems. It has been claimed 3 that promoting physical activity could prevent functi...

This article proposes a framework of personalized feedback mechanism to help multiple inconsistent experts to reach consensus in group decision making by allowing to select different feedback parameters according to individual consensus degree. The general harmony degree (GHD) is defined to determine the before/after feedback difference between the...

In group decision making scenarios, where multiple anonymous agents interact, as is the case of social networks, the uncertainty in the provided information as well as the diversity in the experts’ opinions make of them a real challenge from the point of view of information aggregation and consensus achievement. This contribution addresses these tw...

The early and accurate detection of brain tumors is key to improve the quality of life and the survival of cancer patients. Magnetic resonance imaging (MRI) is a widely used imaging technique to assess these tumors, but the large amount of data produced by MRI prevents manual segmentation in a reasonable time, limiting the use of precise quantitati...

In the bounded confidence model it is widely known that individuals rely on the opinions of their close friends or people with similar interests. Meanwhile, the decision maker always hopes that the opinions of individuals can reach a consensus in a required time. Therefore, with this idea in mind, this paper develops a consensus reaching model with...

Nowadays, in the social network–based decision‐making processes, like the ones involved in e‐commerce and e‐democracy, multiple users with different backgrounds may take part and diverse alternatives might be involved. This diversity enriches the process, but at the same time, increases the uncertainty of opinions. This uncertainty can be considere...

Given the growth in tourism online data as a result of a large number of users posting their personal opinions in social networks and other online platforms with the idea to help other visitants, many authors have proposed a huge variety of ways to classify the sentiments contained in these opinions in order to recommend services (hotels, restauran...

In on line communities, where there is a huge number of users that interact under anonymous identities, it has been observed that e-word of mouth is a very powerful influence tool. So far, this technology is well known in on-line marketplaces, such as Amazon¹, eBay² or travel based platforms like Tripadvisor or Booking. However, these trust based a...

Social networks are the most preferred mean for the people to communicate. Therefore, it is quite usual that experts use them to carry out Group Decision Making processes. One disadvantage that recent Group Decision Making methods have is that they do not allow the experts to use free text to express themselves. On the contrary, they force them to...

On-line platforms foster the communication capabilities of the Internet to develop large-scale influence networks in which the quality of the interactions can be evaluated based on trust and reputation. So far, this technology is well known for building trust and harnessing cooperation in on-line marketplaces, such as Amazon (www.amazon.com) and eB...

The age of the population in the developed countries is increasing as well as the life expectancy for this population. This suppose a challenge for the health care system that requires of new tools to be able to face the increasing expenses that this ageing in the population suppose. With this regard, it has been demonstrated that promoting physica...

Nowadays we are living the apogee of the Internet based technologies and consequently web 2.0 communities, where a large number of users interact in real time and share opinions and knowledge, is a generalized phenomenon. This type of social networks communities constitute a challenge scenario from the point of view of Group Decision Making approac...

A Group decision making process is carried out when human beings jointly make an election from a possible collection of alternatives. Here, a question of importance is to avoid winners and losers, in the sense that the choice is not any more attributable to any single individual, but all group members contribute to the decision. For this reason, th...

With the incorporation of web 2.0 frameworks the complexity of decision making situations has exponentially increased, involving in many cases a huge number of decision makers, and many different alternatives. In the literature we can find a great variety of methodologies to assist multi-person decision making. However these classical approaches ar...

Nowadays, the human-computer interaction is being a hot topic. In such a way, several methods have been proposed to deal with multi-granularity when people with different knowledge level express their preferences on the same concept using linguistic notation, that is, words instead of numbers. This is a critical problem in group decision making sce...

Intuitionistic preference relations are becoming increasingly important in the field of group decision making since they present a flexible and simple way to the experts to provide their preference relations, while at the same time allowing them to accommodate a certain degree of hesitation inherent to all decision making processes. In this contrib...

With the incorporation of web 2.0 frameworks the complexity of decision making situations has exponentially increased, involving in many cases many experts, and a pontentially huge number of different alternatives. In the literature we can find a great deal of methodologies to assist multi-person decision making. However these classical approaches...

Intuitionistic preference relations constitute a flexible and simple representation format of experts’ preference on a set of alternative options, while at the same time allowing to accommodate degrees of hesitation inherent to all decision making processes. In comparison with fuzzy preference relations, the use of intuitionistic fuzzy preference r...

In Group Decision Making, there are situations in which the decision makers may not be able to provide his/her opinions properly and they could contain contradictions. To avoid it, in this contribution, we present a new selection process to deal with inconsistent information. As part of it, we use a method based on granular computing to increase th...

The multi-granular fuzzy linguistic modeling allows the use of several linguistic term sets in fuzzy linguistic modeling. This is quite useful when the problem involves several people with different knowledge levels since they could describe each item with different precision and they could need more than one linguistic term set. Multi-granular fuz...

An academic library, as a service organization, has to maintain a level of service quality that, satisfying its users, will assure funding for its existence and development. To do so, the general manager, which is in charge of distributing the funding, asks to the staff of the library about their opinions in the allocation of the budget. An importa...

licenses/by-nc-nd/3.0/). Selection and peer-review under responsibility of the Organizing Committee of ITQM 2014. Abstract Libraries are recently changing their classical role of providing stored information into new virtual communities, which involve large number of users sharing real time information. Despite of those good features, there is stil...

Rapid changes in the business environment such us the globalization as well as the increasing necessity to make crucial decisions involving a huge range of alternatives in short period of time or even in real time have made that computerized group decision support systems become very useful tools. However in the majority of the cases the panel of e...

Consensus is defined as a cooperative process in which a group of decision makers develops and agrees to support a decision in the best interest of the whole. It is a questioning process, more than an affirming process, in which the group members usually modify their choices until a high level of agreement within the group is achieved. Given the im...

Libraries represent a focal point of academic life and as such serve also a societal purpose of bringing together people around common themes. This purpose is nowadays enhanced and facilitated by the so-called digital libraries. For this reason, it is necessary to develop tools for helping users to reach decision with a high level of conensus in th...

The purpose of the study was to improve the visual functioning of people with restriction in contrast sensitivity (CS), such as retinitis pigmentosa (RP), by means of a visual training program. Twenty-six volunteers with RP participated, distributed in two groups: 15 who made up the experimental group (who received the training program) and 11 who...

Nowadays Web 2.0 provides users a unique framework not only to find information but also to express their opinions and collaborate and interact in real time. Web 2.0 includes applications such as blogs, wikis, RSS, pod-casting, mashups, and social networks. These applications aggregate the collective intelligence of millions of users and therefore...

In group decision making problems, given the importance of obtaining an accepted solution by the whole group, the consensus has attained a great attention and it is virtually a major goal of these problems. Consensus, as traditionally meant to be a full and unanimous agreement, is often not reachable in practice. A more realistic approach is to use...

This paper presents a real-time contrast enhancement system, implemented in FPGA and adapted to display the processed images on a Head Mounted Display (HMD). A novel visual processing scheme is proposed which combines a version of the algorithm known as Contrast Limited Adaptive Histogram Equalization (CLAHE) with a spatial filtering based on a bio...

Low-level computer vision algorithms have high computational requirements. In this study, we present two real-time architectures using resource constrained FPGA and GPU devices for the computation of a new algorithm which performs tone mapping, contrast enhancement, and glare mitigation. Our goal is to implement this operator in a portable and batt...

This paper describes the implementation of a bio-inspired visual processing model which aims to remark the relevant information from a scene to generate different kinds of stimuli such as visual, haptic or audio stimuli, useful in aid systems for visually impaired persons. Desirable features for such system are real-time operation, minimum latency...