Browsing by Author "Santos-del-Riego, Antonino"
Now showing items 1-11 of 11
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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 ... -
Artificial Neural Networks Manipulation Server: Research on the Integration of Databases and Artificial Neural Networks
Santos-del-Riego, Antonino; Dorado, Julián; Arcay Varela, 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 ... -
Desarrollo de una metodología e implementación de un sistema basado en el conocimiento de filosofía híbrida : una aplicación para la evaluación de impacto ambiental
Santos-del-Riego, Antonino (1998)[Resumen] El avance producido en los últimos años en el ámbito de la computación e inteligencia artificial permite disponer de un conjunto de técnicas que traten, de una forma experta y consistente, el amplio y complejo ... -
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 ... -
El proceso de planificación del alta en centros de rehabilitación: sistemas de información para la evaluación de pacientes
Santos-del-Riego, Sergio; Santos-del-Riego, Antonino; Rodríguez Díaz, A.B.; Hernández Herrero, D. (2001)[Resumen] La planificación del alta es un proceso que debe comenzar desde el mismo momento del ingreso. Debe ser sistemático, interdisciplinario y coordinado por un especialista sanitario. Debe involucrar al paciente y a ... -
Redes de neuronas artificales: reglas de aprendizaje
Santos-del-Riego, Antonino; Casto Villar, M. Virtudes (Universidade da Coruña, 1996) -
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 ... -
Sistemas conexionistas en el procesado de señales biomédicas
Santos-del-Riego, Antonino; Linares, Manuel A.; Rivas, Rodrigo; Nóvoa, Francisco; Rodríguez, Ana Belén; Barreiro, José M. (Universidade da Coruña, 2001) -
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 ...
