Listar GI-RNASA - Artigos por autor "Santos-del-Riego, Antonino"

Mostrando ítems 1-9 de 9

    • A complexity approach for identifying aesthetic composite landscapes 

      Carballal, Adrián; Pérez, Rebeca; Santos-del-Riego, Antonino; Castro, M. Luz (Springer, 2014)
      [Abstract] 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 ...

    • A Genetic Programming-Based Low-Level Instructions Robot for Realtimebattle 

      Romero, Juan; Santos-del-Riego, Antonino; Carballal, Adrián; Rodríguez-Fernández, Nereida; Santos, Iria; Torrente-Patiño, Álvaro; Tuñas, Juan; Machado, Penousal (MDPI AG, 2020)
      [Abstract]: 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 ...

    • Artificial Neural Networks Manipulation Server: Research on the Integration of Databases and Artificial Neural Networks 

      Santos-del-Riego, Antonino; Dorado, Julián; Arcay, Bernardino; Rodríguez Díaz, Ana Belén; Pazos, A. (Springer U K, 2002-06)
      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 ...

    • Authorship ans aesthetics experiments: comparision of results between human and computational systems 

      Castro, M. Luz; Pérez, Rebeca; Santos-del-Riego, Antonino; Carballal, Adrián (Springer, 2014)
      [Abstract] 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 ...

    • Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach 

      Carballal, Adrián; Fernández-Lozano, Carlos; Rodríguez-Fernández, Nereida; Castro, M. Luz; Santos-del-Riego, Antonino (Hindawi Limited, 2019)
      [Abstract]: 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 ...

    • Framework of fully integrated hybrid systems 

      Santos-del-Riego, Antonino; Romero, Juan; Carballal, Adrián; Pazos, A. (Springer U K, 2012-02)
      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 ...

    • Prediction of Nucleoitide Binding Peptides Using Star Graph Topological Índices 

      Liu, Yong; Munteanu, Cristian-Robert; Fernández-Blanco, Enrique; Tan, Zhiliang; Santos-del-Riego, Antonino; Pazos, A. (Elsevier, 2015-08-05)
      [Abstract] The nucleotide binding proteins are involved in many important cellular processes, such as transmission of genetic information or energy transfer and storage. Therefore, the screening of new peptides for this ...

    • Self-tuning of disk input–output in operating systems 

      Santos-del-Riego, Antonino; Romero, Juan; Taibo Pena, Carlos Rodríguez; Carballal, Adrián (Elsevier Inc., 2012-01)
      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 ...

    • Study of classical conditioning in Aplysia through the implementation of computational models of its learning circuit 

      Santos-del-Riego, Antonino; Pazos, A.; Porto-Pazos, Ana B.; Romero, Juan; Albó, A. (Taylor & Francis, 2007-07-04)
      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 ...