Irene Díaz

Irene Díaz
University of Oviedo | UNIOVI · Department of Information Technology

Mathematics

About

140
Publications
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894
Citations

Publications

Publications (140)
Article
The study of Gaussian Markov Random Fields has attracted the attention of a large number of scientific areas due to its increasing usage in several fields of application. Here, we consider the construction of Gaussian Markov Random Fields from a graph and a positive-definite matrix, which is closely related to the problem of finding the Maximum Lik...
Article
This paper addresses a variant of the job shop scheduling problem with total tardiness minimization where task durations and due dates are uncertain. This uncertainty is modelled with intervals. Different ranking methods for intervals are considered and embedded into a genetic algorithm. A new robustness measure is proposed to compare the different...
Article
Full-text available
It is well known that there are some maternal and fetal issues that directly influence preterm births. However, all the variables provoking it are not completely determined. On the other hand, chronodisruption alters maternal circadian rhythms, with negative consequences for the maturation of the fetus. Thus, the objective of this work is to add ot...
Book
This book of Advances in Deep Learning, Artificial Intelligence and Robotics (proceedings of ICDLAIR 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics. Deep...
Article
Full-text available
Multiple definitions have been put forward in the literature to measure the differences between two interval-valued fuzzy sets. However, in most cases, the outcome is just a real value, although an interval could be more appropriate in this environment. This is the starting point of this contribution. Thus, we revisit the axioms that a measure of t...
Chapter
Interest in Dempster-Shafer’s theory of evidence has often run up against problems associated with the inherently exponential complexity of the calculation of the Belief and Plausibility measures. This can be mitigated by looking at the technological possibilities offered by GPU computing. Some preliminary attempts have been oriented towards parall...
Article
Full-text available
Preference aggregation and in particular ranking aggregation are mainly studied by the field of social choice theory but extensively applied in a variety of contexts. Among the most prominent methods for ranking aggregation, the Kemeny method has been proved to be the only one that satisfies some desirable properties such as neutrality, consistency...
Article
Starting from the notion of a multidistance, we formalize, through a suitable system of axioms, the concept of an inequality measure defined on a nonempty set with no additional structure implemented a priori. Among inequality measures, apart from multidistances we pay special attention to dispersions, and study their main features. Classical conce...
Article
The notion of an orness measure for aggregation functions has been a relevant study subject whose history can be traced back to the early works of Dujmović in 1973. Intuitively, an orness measure quantifies the similarity of an aggregation function to the “or” function and results in an essential tool for decision engineering, field in which the ch...
Article
Full-text available
Diet is one of the main sources of exposure to toxic chemicals with carcinogenic potential, some of which are generated during food processing, depending on the type of food (primarily meat, fish, bread and potatoes), cooking methods and temperature. Although demonstrated in animal models at high doses, an unequivocal link between dietary exposure...
Chapter
University dropout is a growing problem having considerable academic, social and economic consequences. It may depend on several factors, such as for example the knowledge area. In previous works we studied dropout and transfer paths using machine learning, obtaining several key factors that are predictive for analyzing drop out and transfer paths...
Chapter
This paper considers the interval job shop scheduling problem, a variant of the deterministic problem where task durations and due dates are uncertain and modelled as intervals. With the objective of minimising the total tardiness with respect to due dates, we propose a genetic algorithm. Experimental results are reported to assess its behaviour an...
Chapter
The aim of a clustering method is to create groups (clusters) of objects that are similar to each other. This similarity is usually measured by means of a distance, thus, the choice of distance function plays a crucial role in the clustering process. In this work, we propose a variant of the classical clustering method kmeans that combines the info...
Chapter
PISA for Schools is an OECD (Organization for Economic Cooperation and Development) program designed to provide results on students’ performance in Mathematics, Reading and Science at school level. In order to achieve this purpose, participants are asked to answer a content-based test together with a background questionnaire. Answers are next evalu...
Chapter
Full-text available
In this paper we tackle a variant of the job shop scheduling problem where task durations are uncertain and only an interval of possible values for each task duration is known. We propose a genetic algorithm to minimise the schedule’s makespan that takes into account the problem’s uncertainty during the search process. The behaviour of the algorith...
Chapter
Characterizing the degree of similarity or difference between two sets is a very important topic, since it has many applications in different areas, including image processing or decision making. Several studies have been done about the comparison of fuzzy sets and its extensions, in particular for interval-valued fuzzy sets. However, in most of th...
Article
Full-text available
This work presents a new algorithm based on Atanassov’s intuitionistic fuzzy sets and fuzzy mathematical morphology to leukocytes segmentation in color images. The main idea is based on modeling a color image as an Atanassov’s intuitionistic fuzzy set using the hue component in the HSV color space. Then, a pixel labeled as leukocyte is selected and...
Article
Background Intensive care unit (ICU) environment disrupts the circadian rhythms due to environmental and other nonphotic synchronizers. The main purpose of this article is to establish whether critically patients have desynchronization at the molecular level after 1 week of stay in the ICU. Methods The rhythm of Clock, Bmal1, Cry1, and Per2 genes...
Technical Report
Full-text available
El aprendizaje basado en proyectos permite desarrollar competencias de enorme importancia, incluyendo las necesarias competencias transversales donde se incluyen aspectos como la capacidad de resolver problemas, la capacidad para tomar decisiones, habilidades de comunicación, de organización del trabajo y de gestión del tiempo. En este proyecto de...
Article
Full-text available
University dropout is a growing problem with considerable academic, social and economic consequences. Conclusions and limitations of previous studies highlight the difficulty of analyzing the phenomenon from a broad perspective and with bigger data sets. This paper proposes a new, machine-learning based method, able to examine the problem using a h...
Article
In this work, Minimals Plus, an algorithm for the random generation of linear extensions from a poset is introduced. It improves a previously existing heuristic algorithm, Minimals, and its recent modification, Bottom-Up. Minimals Plus shares all the strengths of Bottom-Up and none of its weaknesses: it can be applied to any poset, has a fast initi...
Chapter
The problem of ranking different candidates or alternatives according to the preferences of different voters or experts is a common study subject in the fields of social choice theory and preference modelling. Whereas the former field normally restricts its attention to preferences given in the form of rankings (with ties), the latter field embrace...
Article
Introducing intelligent safety devices in the roads would lead to enhance both the time of reaction and the traffic safety. Nevertheless, these intelligent devices are expensive, so choosing their location should be done carefully. This research is focused a decision support system to decide the placement of a specific safety device designed in a r...
Article
In this work we consider some classes of functions with relaxed monotonicity conditions generalizing some other given classes of fusion functions. In particular, directionally increasing aggregation functions (called also pre-aggregation functions), directionally increasing conjunctors, or directionally increasing implications, etc., generalize the...
Article
Serum free fatty acids (FFA) are generally elevated in obesity. The gut microbiota is involved in the host energy metabolism through the regulation of body fat storage, and a link between diet, FFA and the intestinal microbiota seems to exist. Our aim was to explore the interaction among serum FFA levels, gut microbiota, diet and obesity through a...
Article
Full-text available
In order to define management and marketing strategies, farmers need adequate knowledge about future yield with the greatest possible accuracy and anticipation. In citrus orchards, greater variability and non-normality of yield distributions complicate the early estimation of fruit production. This study was conducted with the objective of developi...
Article
In their original and ordinary formulation, fuzzy sets associate each element in a reference set with one number, the membership value, in the real unit interval [0,1]. Among the various existing generalisations of the concept, we find fuzzy multisets. In this case, membership values are multisets in [0,1] rather than single values. Mathematically,...
Chapter
A chord progression is an essential building block in music. In the field of music theory is usually assumed that these progressions influence the mood, emotion, genre or other critical aspects of the songs, and also in the perception that they will cause on the listener. Therefore, it is natural to think that musical and audio features of a track...
Chapter
In this chapter, several results and applications in Artificial Intelligence based on Fuzzy Logic are presented. We aim to highlight some recent works that are connected with the topic of this book, both in the theoretical and in the applied fields.
Article
Precision Agriculture entails the appropriate management of the inherent variability of soil and crops, resulting in an increase of economic benefits and a reduction of environmental impact. However, site-specific treatments require maps of the soil variability to identify areas of land that share similar properties. In order to produce these maps,...
Article
More and more distribution companies need a model to efficiently retrieve physical technological systems. Building ontologies as knowledge representation models with respect to technological systems information is increasingly seen as a key to enable interoperability between software agents and people on the Web or through to network connections. T...
Presentation
Full-text available
In the Alto Valle of Rı́o Negro and Neuquén (Argentina) the most important economical activity is the pears and apples crop. The key to improve logistic, packaging and marketing strategies is related to the fruit size prediction. With this purpose, growth patterns have been developed for many years, based on the diameter’s fruits, depending on the...
Article
Aggregating the preferences of several voters on a set of candidates is a classical problem in several fields of application. In previous work, we have addressed this problem in the case where each voter expresses his/her preferences in the form of a ranking on the set of candidates, by searching for monotonicity of three different types of represe...
Article
Full-text available
An in-depth knowledge about variables affecting production is required in order to predict global production and take decisions in agriculture. Machine learning is a technique used in agricultural planning and precision agriculture. This work (i) studies the effectiveness of machine learning techniques for predicting orchards production; and (ii) v...
Conference Paper
This study focuses on the analysis of traffic data concerning road crashes, with the aim of extracting relevant knowledge in order to choose the location of intelligent road guardrails. To do so, historical data of the accidents in Spanish roads since 2011 have been gathered from the Dirección General de Tráfico and analyzed afterwards. After a pre...
Article
Full-text available
In this paper we propose to extend the definition of fuzzy transform in order to consider an interpolation of models that are richer than the standard fuzzy transform. We focus on polynomial models, linear in particular, although the approach can be easily applied to other classes of models. As an example of application, we consider the smoothing o...
Article
Full-text available
The media industry is increasingly personalizing the offering of contents in attempt to better target the audience. This requires to analyze the relationships that goes established between users and content they enjoy, looking at one side to the content characteristics and on the other to the user profile, in order to find the best match between th...
Preprint
The media industry is increasingly personalizing the offering of contents in attempt to better target the audience. This requires to analyze the relationships that goes established between users and content they enjoy, looking at one side to the content characteristics and on the other to the user profile, in order to find the best match between th...
Article
The choice of the ranking that best captures the preferences of several voters on a set of candidates has been a matter of study for centuries. An interesting point of view on this problem is centred on the notion of monotonicity. In this paper, we deal with an aspect of monotonicity that has not been addressed before: if there is a true ranking on...
Article
The aggregation of rankings is a recurrent task in several fields of application. In a recent work by Rademaker and De Baets, a ranking rule based on a natural monotonicity property was proposed in the context of social choice theory. This rule is built on the premise that, for a ranking to represent a group's opinion, it would be natural that the...
Article
Hesitant fuzzy sets represent a useful tool in many areas such as decision making or image processing. Finite interval-valued hesitant fuzzy sets are a particular kind of hesitant fuzzy sets that generalize fuzzy sets, interval-valued fuzzy sets or Atanassov’s intuitionistic fuzzy sets, among others. Partitioning is a long-standing open problem due...
Article
Iterative OWA (ItOWA) as proposed by Dujmovic, is a two-stage procedure for computing the weighting vector by a double nested iteration: (i) weights at step h are computed as limit to infinity of a matrix power, (ii) the result is used to start the computation at step h 1, until the OWA operator arity n is reached. Thereafter Dujmovic suggested a c...
Article
Full-text available
In Precision Agriculture one of the basic tasks is the classification of land zones in either arable or non-arable land. Several studies have been conducted using data obtained from soil analysis or local exploration of the parcels. However, sometimes only data from satellite images are available and then the problem not only becomes more challengi...
Article
Aims: Circadian rhythms are the approximate 24h biological cycles that function to prepare an organism for daily environmental changes. Circadian rhythms unquestionably play critical roles in metabolic homeostasis and the exercise has emerged as a strong non-photic time cue or zeitgeber in animal models and humans. Numerous studies on the effects...
Conference Paper
FDIR functionalities play a key role in several fields and a lot of techniques and methods have been developed in order to make them possible. TFPG is a causal model that captures the temporal aspects of failure propagation in a wide variety of engineering systems. As other sources of information, they require to be stored and retrieved. A key to i...
Conference Paper
More and more companies need a model for product-service information retrieval. All businesses agree on the need of a common vocabulary among customers, commercial partners and suppliers. Building ontologies as models of knowledge representation about product-service information is increasingly seen as a key to enable interoperability between softw...
Article
Nowadays, the representation and the treatment of color images are still open problems. Mathematical Morphology is the natural area for a rigorous formulation of many problems in image analysis. Moreover, it comprises powerful non linear techniques for filtering, texture analysis, shape analysis, edge detection or segmentation. A large number of mo...
Article
We propose a new point of view of the long-standing problem where several voters have expressed a (strict) linear order (or ranking) over a set of candidates. For a ranking to represent a group's opinion, it would be natural that the strength with which is supported should not be less than both the strength with which and the strength with which ar...
Article
Open data satellite imagery provides valuable data for the planning and decision-making processes related with environmental domains. Specifically, agriculture uses remote sensing in a wide range of services, ranging from monitoring the health of the crops to forecasting the spread of crop diseases. In particular, this paper focuses on a methodolog...
Article
Full-text available
Gray scale edge detection can be modeled using Fuzzy Sets and, in particular, Interval-Valued Fuzzy Sets. This work is focused on studying the performance of several Interval-Valued Fuzzy Sets construction methods for detecting edges in a gray scale image. These construction methods are based on considering information related to the neighborhood o...
Article
Kisspeptin is an essential gatekeeper of reproductive function. During pregnancy high circulating levels of kisspeptin have been described, however the clear role of this neuropeptide in pregnancy remains unknown. We tested the existence of rhythmic kisspeptin expression in human full-term placenta from healthy pregnant women at six different time...
Article
Biological rhythms are driven by endogenous biological clocks; in mammals, the master clock is located in the suprachiasmatic nucleus (SCN) of the hypothalamus. This master pacemaker can synchronize other peripheral oscillators in several tissues such as some involved in endocrine or reproductive functions. The presence of an endogenous placental c...
Conference Paper
Farm-Oriented Open Data in Europe will provide specific and high-value applications and services for the support in the planning and decision-making processes of farmers and other stakeholders groups related to the agricultural and environmental domains. Specifically, smart services are based on machine learning algorithms and other artificial inte...
Article
Ordering sets is a long-standing open problem due to its remarkable importance in many areas such as decision making, image processing or human reliability. This work is focused on introducing methods for ordering finitely generated sets as a generalization of those methods previously defined for ordering intervals. In addition, these orders betwee...
Article
This paper presents a model for discovering user preferences from item characteristics. Based on the theory of evidence, the model estimates a probability interval for an item represented by a set of features. This interval represents the item preference within a group of users and it is computed according to preferences expressed in the past. Addi...
Article
A computationally efficient system for sound environment classification in digital hearing aids is presented in this paper. The goal is to automatically classify three different listening environments: 'speech', 'music', and 'noise'. The system is designed considering the computational limitations found in such devices. The proposed algorithm is ba...
Article
Interval-valued fuzzy sets are an extension of fuzzy sets and are helpful when there is not enough information to define a membership function. This paper studies the behavior of a construction method for an interval-valued fuzzy relation built from a fuzzy relation. The behavior of this construction method is analyzed depending on the used t-norms...
Conference Paper
In this communication we present the result of a research performed over the first cohorts of Students in the degrees within the EHEA in the University of Oviedo. The goal of this research was to identify main factors in the dropout of our students. Data were obtained by performing a survey over the students who had abandoned their degree in the a...
Article
Classification is a long standing problem in computing. There are two broad kinds of classifiers, frequency based and geometry based. Frequency based classifiers often ignore the geometry underlying the data. Conversely, geometry based classifiers take into account the frequency only indirectly. This paper presents a classification algorithm which...