Antonino Santos-del-Riego

Antonino Santos-del-Riego
University of A Coruña | UDC · Department of Information and Communication Technologies

About

74
Publications
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Introduction
Antonino Santos-del-Riego currently works at the Department of Computation and Centre for Information and Communications Technology Research (CITIC), University of A Coruña. Antonino does research in Artificial Neural Network, Data Mining and Artificial Intelligence. Their most recent publication is 'Dataset used in "Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach". Also available at https://doi.org/10.6084/m9.figshare.6127295.v1'.

Publications

Publications (74)
Article
Full-text available
In this article, a minimum neural network topology in terms of units and connections (neurons and weights), making visual aesthetically categorized images, will be identified. For this purpose, an analysis to compact the initial neural network will be conducted by reducing the amount of connections and neurons required for an a esthetic classificat...
Article
Full-text available
RealTimeBattle is an environment in which robots controlled by programs fight each other. Programs control the simulated robots using low-level messages (e.g., turn radar, accelerate). Unlike other tools like Robocode, each of these robots can be developed using different programming languages. Our purpose is to generate, without human programming...
Article
Full-text available
Humans’ perception of visual complexity is often regarded as one of the key principles of aesthetic order, and is intimately related to the physiological, neurological and, possibly, psychological characteristics of the human mind. For these reasons, creating accurate computational models of visual complexity is a demanding task. Building upon on p...
Article
Full-text available
An important topic in evolutionary art is the development of systems that can mimic the aesthetics decisions made by human begins, e.g., fitness evaluations made by humans using interactive evolution in generative art. This paper focuses on the analysis of several datasets used for aesthetic prediction based on ratings from photography websites and...
Chapter
Over the last few years, numerous studies have been conducted that have sought to address automatic image classification. These approaches have used a variety of experimental sets of images from several photography sites. In this chapter, the authors look at some of the most widely used in the field of computational aesthetics as well as the capaci...
Article
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This study is aimed at exploring the ability of complexity-based metrics to distinguish between paintings and photographs. The proposed features resort to edge detection, compression and entropy estimate methods that are highly correlated with artwork complexity. Artificial neural networks based on these features were trained for this task. The rel...
Article
Full-text available
Visual complexity influences people's perception of, preference for, and behaviour toward many classes of objects, from artworks to web pages. The ability to predict people's impression of the complexity of different kinds of visual stimuli holds, therefore, great potential for many domains, basic and applied. Here we use edge detection operations...
Article
The nucleotide binding proteins are involved into many important cellular processes such as transmission of genetic information or energy transfer and storage. Therefore, the screening of new peptides for this biological function is an important research topic. The current study proposes a mixed methodology to obtain the first classification model...
Article
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La Cueva de la Ceza, localizada en Noceda-Folgoso (Courel), en la provincia de Lugo, es una de las más significativas en la espeleología gallega. Desde las primeras exploraciones de esta cavidad en 1982 hasta la actualidad ha acogido una gran cantidad de actividades en espeleología, así como diversos hallazgos en el ámbito arqueológico y paleontoló...
Conference Paper
Full-text available
The present paper describes a series of features related to complexity which may allow to estimate the complexity of an image as a whole, of all the elements integrating it and of those which are its focus of attention. Using a neural network to create a classifier based on those features an accuracy over 85% in an aesthetic composition binary clas...
Conference Paper
Full-text available
This paper presents the results of two experiments comparing the functioning of a computational system and a group of humans when performing tasks related to art and aesthetics. The first experiment consists of the identification of a painting, while the second one uses the Maitland Graves’s aesthetic appreciation test. The proposed system employs...
Article
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A finales de diciembre de 2013 se realiza una actividad de exploración en la Dolina de Richouso, en las proximidades de la localidad de Vilardesilva, en el Parque Natural Serra da Enciña da Lastra, provincia de Ourense. Previamente los compañeros del Club Deportivo Espeleo Casteret (CD/EC) han dedicado varios días a la prospección de la zona. Ahora...
Article
Full-text available
En este documento traemos la memoria de las actividades realizadas en los trabajos de exploración y topografía de Taro da Cruz, cueva localizada en las proximidades de Mostas, en Folgoso do Courel (Lugo), con un completo conjunto de referencias a reportajes fotográficos y audiovisuales de las distintas salidas de trabajo.
Article
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In recent years, the search for computational systems that classify images based on aesthetic properties has gained momentum. Such systems have a wide range of potential applications, including image search, organization, acquisition and generation. This work explores the use of complexity estimates to predict the aesthetic merit of photographs. We...
Article
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A framework of fully integrated hybrid systems (HSs) is proposed for the development and management of HS which involve databases, advanced user interfaces, symbolic systems, and artificial neural networks. This framework provides a common input–output interface among those HS modules developed on the framework, with a completely two-directional fl...
Article
One of the most difficult and hard to learn tasks in computer system management is tuning the kernel parameters in order to get the maximum performance. Traditionally, this tuning has been set using either fixed configurations or the subjective administrator's criteria. The main bottleneck among the subsystems managed by the operating systems is di...
Article
Full-text available
Ceza Cave, located in Noceda-Folgoso (Courel), is one of the most significant in Galician caving. From the first explorations in 1982 to date has received a lot of speleology activities. In the last meeting of initiation to caving in childhood organized by the Canyoning Caving Club (EC/DC) comes the discovery of a bone with engravings. This paper c...
Conference Paper
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The lack of a social context is a drawback in current Interactive Evolutionary Computation systems. In application areas where cultural characteristics are particularly important, such as visual arts and music, this problem becomes more pressing. To address this issue, we analyze variants of the traditional Interactive Evolutionary Art approach – s...
Article
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The creation and the evaluation of aesthetic artifacts are tasks related to design, music and art, which are highly interesting from the computational point of view. Nowadays, Artificial Intelligence systems face the challenge of performing tasks that are typically human, highly subjective, and eventually social. The present paper introduces an arc...
Article
The learning phenomenon can be analysed at various levels, but in this paper we treat a specific paradigm of artificial intelligence, i.e. artificial neural networks (ANNs), whose main virtue is their capacity to seek unified and mutually satisfactory solutions which are relevant to biological and psychological models. Many of the procedures and me...
Article
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User fatigue is probably the most pressing problem in current Interactive Evolutionary Computation systems. To address it we propose the use of automatic seeding procedure, phenotype filters, and partial automation fitness assignment. We test this approaches in the visual arts domain. To further enhance interactive evolution applications in aesthet...
Book
Programas de Evaluación Institucional. Programas de Acreditación. Programas de Certificación. Programas de Convergencia Europea. Programas de Evaluación del Profesorado; Departamentales de Calidad y Convergencia Europea; El modelo de Bolonia y su traducción en las Ciencias de la Salud en España y en Europa; Convergencia Europea, Calidad Universitar...
Book
Full-text available
Programas de Evaluación Institucional. Programas de Acreditación. Programas de Certificación. Programas de Convergencia Europea. Programas de Evaluación del Profesorado; Departamentales de Calidad y Convergencia Europea; El modelo de Bolonia y su traducción en las Ciencias de la Salud en España y en Europa; Convergencia Europea, Calidad Universitar...
Conference Paper
Full-text available
Creating visual art using biologically inspired techniques is a new and exciting field. We describe an interactive image generation system based on an Artificial Immune System (AIS). In our system the user guides image evolution by cueing the system about the aesthetic content of selected areas of images in the current population.
Conference Paper
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One of the problems in the use of evolutionary computer systems in artistic tasks is the lack of artificial models of human critics. In this paper, based on the state of the art and on our previous related work, we propose a general architecture for an artificial art critic, and a strategy for the validation of this type of system. The architecture...
Article
This paper proposes an application of Genetic Programming (GP) and Artificial Neural Networks (ANN) in hydrology, showing how these two techniques can work together to solve a problem, namely for modeling the effect of rain on the runoff flow in a typical urban basin. The ultimate goal of this research is to design a real-time alarm system to warn...
Article
The authors present a musical composition model that creates rhythmic patterns through a system based on genetic algorithms, involving the interaction of several artificial musicians. In this environment, various composer systems and human musicians may interact within a system based on artificial life.
Conference Paper
Full-text available
In this paper we propose a framework for the development of artificial art critics, consisting of an architecture and a validation methodology. The architecture includes two modules: a feature extractor, which performs a pre-processing of the artwork, extracting several measurements and characteristics; and an evaluator, which, based on the output...
Conference Paper
Full-text available
Various rule-extraction techniques using ANN have been used so far, most of them being applied on multi-layer ANN, since they are more easily handled. In many cases, extraction methods focusing on different types of networks and training have been implemented. However, there are virtually no methods that view the extraction of rules from ANN as sys...
Article
Full-text available
This paper proposes a new whole and distributed integration approach between Artificial Neural Networks (ANNs) and Databases (DBs) taking into account the different stages of the former’s lifecycle (training, test and running). The integration architecture which has been developed consists of an ANN Manipulation Server (AMS) based on a client-serve...
Conference Paper
Genetic Programming (GP) is an evolutionary method that creates computer programs that represent approximate or exact solutions to a problem. This paper proposes an application of GP in hydrology, namely for modelling the effect of rain on the run-off flow in a typical urban basin. The ultimate goal of this research is to design a real time alarm s...
Conference Paper
Full-text available
Various rule-extraction techniques using ANNs have been used so far, most of them being applied on multi-layer ANNs, since they are more easily handled. In many cases, extraction methods focusing on different types of networks and training have been implemented, however, there are virtually no methods that view the extraction of rules from ANNs as...
Conference Paper
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...
Conference Paper
The utilization of Genetic Algorithms (GA) in the development of Artificial Neural Networks is a very active area of investigation. The works that are being carried out at present not only focus on the adjustment of the weights of the connections, but also they tend, more and more, to the development of systems which realize tasks of design and tra...
Conference Paper
The implementation of an Information System of medical images with safe Internet access and with an interface which allows visualization, analysis, processing and advanced visualization, will enable the radiologist to access those clinical cases he wishes to consult, both within the hospital Intranet and also from an extranet. Freeware software ha...
Chapter
Recoge los contenidos presentados en el International Workshop Avances en Informática Biomédica (1. 1999. A Coruña).
Conference Paper
This article presents the current development state of a system for the analysis of radiological images. Its purpose is to provide the clinicians with information that helps him to take decisions on the placing of prostheses: type of prosthesis, implantation point, etc. At present we are developing the segmentation module that is based on tests wit...
Article
Full-text available
This work shows a perspective of the different researches on musical composition using evolutionary techniques. It is made a classification based on the critic element of the different compositions. Four types of works are analyzed: Interactive, based on examples, rule-based and autonomous ones. Finally it is proposed the integration of the several...
Article
ferences are not eliminated, the segmentation presents serious errors when we use classification methods based on the instensity. In order to solve this problem, we have analyzed two techniques that allow us to segment automatically the radiological images: 1. We performed a preprocessing of the image using a homomorphic filter in order to improve...
Conference Paper
This paper uses an adaptive technique, the artificial neural network (ANN) for musical interpretation, solving the problems showed by traditional approaches. Human rhythmic perception is studied through several experiments, the suitability of ANN for solving these kind of problems is analyzed compared to other approaches, and a real time connection...
Conference Paper
The idea of using computers for an artistic activity like music springs from the first studies of what an intelligent machine could do. Nowadays, the world of music and the world of computational science are getting closer thanks to the findings of many researchers who cover different aspects of musical language. This paper introduces a musical com...
Conference Paper
This system explores the union between the hip joint and a prosthesis inserted in the femur. The objective is to make an early detection of the existence of any gapping between prosthesis and bone. To do this, we use an ANN built with a GA, that optimize not only the architecture of the ANN, but also the design of the training set. The output offer...
Conference Paper
This article centers upon a less debated, but equally important topic involved in the designing of artificial neural networks (ANNs) which are to be applied to complex problems, such as the specification of architecture or the selection of training parameters. That topic is the preparation of a training set and of a test which are appropriate for t...
Chapter
In trying to discern between the uncertain and the certain in our environment we must emphasize that if something is known about nature it is that it acts according to a pattern of interdependence between the different components that make up an ecosystem. Influencing in these types of standards is always a complex task. The new technologies of Art...