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October 2000 - present
Publications
Publications (65)
The study of animal behavior in laboratory experiments is key in ethology, ecotoxicology, neuroscience and other fields. Although modern studies use computer imaging techniques, current solutions cannot preserve the identity of multiple individuals in social experiments. Thanks to the use of Transfer Learning we seek to overcome this limitations wh...
The complete sequencing of the human genome has led to a major change in the way cancer diagnosis and treatment is understood, researched, and approached. In this context, the development of the omic sciences, bioinformatics, and molecular techniques has triggered a revolution in cancer research, having important consequences for the diagnosis, pro...
Despite the widespread proliferation of social media in policy and politics, televised election debates are still a prominent form of large-scale public engagement between politicians and the electorate during election campaigns. Advanced visual interfaces can improve these important spaces of democratic engagement. In this paper, we present a user...
Context
Web applications development is at its peak due to the advance of technological trends and the constant dependence of the Internet. As a result of the needs of developers, new development methodologies have emerged. However, that does not mean that companies always implement an optimal development process; instead, there are several disadva...
The current inclusion of agile methodologies in web-oriented projects has been considered on a large-scale by software developers. However, the benefits and limitations go beyond the comforts that project managers delimit when choosing them. Selecting a methodology involves more than only the associated processes or some documentation. Based on the...
Background. In developing countries, maternal undernutrition is the major intrauterine environmental factor contributing to fetal development and adverse pregnancy outcomes. Maternal nutrition restriction (MNR) in gestation has proven to impact overall growth, bone development, and proliferation and metabolism of mesenchymal stem cells in offspring...
In this work, we improved a previous model used for the prediction of proteomes as new B-cell epitopes in vaccine design. The predicted epitope activity of a queried peptide is based on its sequence, a known reference epitope sequence under specific experimental conditions. The peptide sequences were transformed into molecular descriptors of sequen...
La secuenciación completa del genoma humano ha supuesto un cambio trascendental en la manera de entender, investigar y abordar el diagnóstico y el tratamiento del cáncer. En este contexto, el desarrollo de la genómica, la proteómica, la bioinformática y las técnicas moleculares ha desencadenado una revolución en la investigación del cáncer, que est...
Knowledge Management (KM) can be seen as the process of capturing, developing, sharing, and effectively using organizational knowledge. In this context, the work presented here proposes a KM System to be used in the scope of chronic patient control and monitoring for distributed research projects. It was designed in order to enable communication be...
The enzyme regulation proteins are very important due to its involvement in many biological processes that is sustaining the life. The complexity of these proteins, the impossibility to identify direct quantification molecular properties associated with the regulation of enzymatic activities, and the structural diversity of them creates the necessi...
Lectins (Ls) play an important role in many diseases such as different types of cancer, parasitic infections and other diseases. Interestingly, the Protein Data Bank (PDB) contains +3000 protein 3D structures with unknown function. Thus, we can in principle, discover new Ls mining non-annotated structures from PDB or other sources. However, there a...
There are several different types of medical imaging modalities, among others magnetic resonance imaging (MRI), positron emission tomography (PET), ultrasound, computed tomography (CT) or two-dimensional electrophoresis images (2D-electrophoresis). The number of images is increasing rapidly and the development of automatic image processing systems...
The transport of the molecules inside cells is a very important topic, especially in Drug Metabolism. The experimental testing of the new proteins for the transporter molecular function is expensive and inefficient due to the large amount of new peptides. Therefore, there is a need for cheap and fast theoretical models to predict the transporter pr...
Graph and Complex Network theories are applied to different levels of matter organization such as genome networks, protein-protein networks, sexual disease transmission networks, linguistic networks, law and social networks, power electric networks or Internet. A very important fact is that we can use the numeric parameters called Topological Indic...
Graph and Complex Network theories are applied to different levels of matter organization such as genome networks, protein-protein networks, sexual disease transmission networks, linguistic networks, law and social networks, power electric networks or Internet. A very important fact is that we can use the numeric parameters called Topological Indic...
The main features of a new theoretical model inside the knowledge area called Artificial Embryogeny are described in this paper. Artificial Embryogeny is a term that identifies any model that uses embryological cells or embryological processes as inspiration. This chapter details the theoretical model and it also presents some its apllication to in...
This paper describes a study that seeks to explore the correlation between eye movements and the interpretation of geometric shapes. This study is intended to inform the development of an eye tracking interface for computational tools to support and enhance the natural interaction required in creative design. A common criticism of computational des...
This paper describes the first in a series of studies which seek to explore the correlation of eye movements with interpretation of geometric shapes. These studies are intended to inform the development of an eye tracking interface for computational tools to support and enhance the fluid interaction required in creative design. A common criticism o...
The artificial embryogeny term overlaps all the models that try to adapt cellular properties into artificial models. This chapter presents a new model for artificial embryogeny that mimics the behaviour of biological cells, whose characteristics can be applied to solution of computational problems. The paper contains the theoretical development of...
The artificial embryogeny term overlaps all the models that try to adapt cellular properties into artificial models. This chapter presents a new model for artificial embryogeny that mimics the behaviour of biological cells, whose characteristics can be applied to solution of computational problems. The paper contains the theoretical development of...
Since technological changes are touching many aspects of today’s society, education cannot stay behind; in a world where information is the key to progress, the education of its citizens should not be based on expositive means alone (Adell, 1997). The inevitable increase in complexity and quantity of the information that is available and necessary...
E-learning and the impact of new technologies across contemporary life is a very significant field to education. The challenge of the technology to conventional learning patterns cannot be ignored and in itself raises a host of questions: can online learning facilitate deep learning? How well does video conferencing alleviate the challenge of dista...
Since technological changes are touching many aspects of today’s society, education cannot stay behind; in a world where information is the key to progress, the education of its citizens should not be based on expositive means alone (Adell, 1997). The inevitable increase in complexity and quantity of the information that is available and necessary...
This paper presents a new model for computational embryology that mimics tehe behaviour of biological cells, whose characteristics can be applied to the solution of computational problems. The presented tests apply the model to simple structure generation and provide promising results with regard to its behaviour and applicability to more complex p...
This paper presents a new model that can be framed into the so known as Computational Embryology or Natural Computation. This discipline takes the behaviour of biological cells and tries to adapt some of their characteristics to the artificial cells in order to solve computational problems. Besides the theoretical approach, some of the tests that w...
Medical data and digital imaging for medical diagnosis currently represent a very important research area in computer science. The generation of medical information is continuously increasing. More specifically, genomic (molecular and histological) data and images have become key points for diagnosis. The specific processing these data require is m...
In this chapter, we present an application of Genetic Programming (GP) in the field of data mining and extraction of Artificial Neural Networks (ANN) rules. To do this, we will use its syntactic properties to obtain high level expressions that represent knowledge. These expressions will have different types as there is the need at each moment: we w...
This paper presents a new model that can be framed into the so known as Computational Embryology or Natural Computation. This discipline takes the behaviour of biological cells and tries to adapt some of their characteristics to the artificial cells in order to solve computational problems. Besides the theoretical approach, some of the tests that w...
This chapter presents the use of Artificial Neural Networks (ANN) and Evolutionary Computation (EC) techniques to solve real-world problems including those with a temporal component. The development of the ANN maintains some problems from the beginning of the ANN field that can be palliated applying EC to the development of ANN. In this chapter, we...
The world of Data Mining (Cios, Pedrycz & Swiniarrski, 1998) is in constant expansion. New information is obtained from databases thanks to a wide range of techniques, which are all applicable to a determined set of domains and count with a series of advantages and inconveniences. The Artificial Neural Networks (ANNs) technique (Haykin, 1999; McCul...
Being based on the theory of evolution and natural selection, the Genetic Algorithms (GA) represent a technique that has been
proved as good enough for the resolution of those problems that require a search through a complex space of possible solutions.
The maintenance of a population of possible solutions that are in constant evolution may lead to...
This chapter presents the use of Artificial Neural Networks (ANN) and Evolutionary Computation (EC) techniques to solve real-world problems including those with a temporal component. The development of the ANN maintains some problems from the beginning of the ANN field that can be palliated applying EC to the development of ANN. In this chapter, we...
Even though information and communications technology arises as a powerful tool for the improvement of education, at present, e-learning does not improve learning methods but merely repeats the problems of traditional education. This work proposes a new educational model that tries to tackle these problems. Through the use of a global ontology as b...
This work presents a proposal for an e-learning model that facilitate the learning process. Using a Knowledge Management System
as support, learning is planned through action, which results in the execution of tasks based on computer games strategies.
Both contents of the course and tasks are included into the Institutional Memory of System. The d...
Nowadays, Recurrent Artificial Neural Networks (RANN) are the most appropriate tool to face pattern recognition or forecast problems in complex domains or with a temporal component. However, the use of RANN has some problems, due to their slow training and to the fact that convergence is difficult to reach. The utilization of Genetic Algorithms (GA...
In this chapter, we present an application of Genetic Programming (GP) in the field of data mining and extraction of Artificial Neural Networks (ANN) rules. To do this, we will use its syntactic properties to obtain high level expressions that represent knowledge. These expressions will have different types as there is the need at each moment: we w...
In the world of databases the extraction of knowledge has been a very useful tool for many different purposes and tried with many different techniques. In this paper we use Genetic Programming (GP) to solve a classification problem from a database and we will show how we can adapt this tool in two different ways: to improve its performance and to m...
Genetic Algorithms are non-deterministic, stochastic-search adaptive methods which use the theories of natural evolution and
selection in order to solve a problem within a complex range of possible solutions. The aim is to control the distribution
of the search space by incorporating an exhaustive method in order to maintain a constant evolution of...
. It has been argued that reinterpretation is an essential process in design generation and idea exploration. However, computational design tools, such as computer-aided design systems, offer poor support for shape reinterpretation, and as such are not well suited to ideation in conceptual design. One of the key difficulties in implementing computa...
