Now showing items 1-20 of 106

    • A complexity approach for identifying aesthetic composite landscapes 

      Carballal, Adrián; Pérez, Rebeca; Santos-del-Riego, Antonino; Castro, 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 methodology for the design of experiments in computational intelligence with multiple regression models 

      Fernández-Lozano, Carlos; Gestal, Marcos; Munteanu, Cristian-Robert; Dorado, Julián; Pazos, A. (Peer J, 2016-12-01)
      [Abstract] The design of experiments and the validation of the results achieved with them are vital in any research study. This paper focuses on the use of different Machine Learning approaches for regression tasks in the ...
    • A quick guide for using Microsoft OneNote as an electronic laboratory notebook 

      Guerrero, Santiago; López-Cortés, Andrés; Garcia, Jennyfer; Saa, Pablo; Indacochea Cusirramos, Alberto; Armendáriz-Castillo, Isaac; Zambrano, Ana; Yumiceba, Verónica; Perez Villa, Andy; Guevara-Ramírez, Patricia; Moscoso-Zea, Oswaldo; Paredes-Gualtor, Joel; Leone, Paola E.; Paz-y-Miño, César (Public Library of Science, 2019-05-09)
      [Abstract] Scientific data recording and reporting systems are of a great interest for endorsing reproducibility and transparency practices among the scientific community. Current research generates large datasets that can ...
    • A semantic interoperability approach to support integration of gene expression and clinical data in breast cancer 

      Alonso-Calvo, Raúl; Paraíso-Medina, Sergio; Pérez-Rey, David; Alonso-Oset, Enrique; Stiphout, Ruud van; Taylor, Marian; Buffa, Francesca; Fernández-Lozano, Carlos; Pazos, A.; Maojo, Víctor (Elsevier, 2017-06-05)
      [Abstract] Introduction. The introduction of omics data and advances in technologies involved in clinical treatment has led to a broad range of approaches to represent clinical information. Within this context, patient ...
    • Las actitudes como factor clave en la inclusión universitaria 

      Garabal-Barbeira, Jessica; Pousada, Thais; Espinosa, Pablo; Saleta Canosa, Jesús Luis (Centro Español de Documentación sobre Discapacidad, 2018)
      [Abstract] Las actitudes pueden facilitar o dificultar el proceso inclusivo en la educación superior.Los objetivos del presente estudio son determinar las actitudes del alumnado y docentes hacia la discapacidad y conocer ...
    • Las actitudes como factor clave en la inclusión universitaria 

      Garabal-Barbeira, Jessica; Pousada, Thais; Espinosa Breen, Pablo Clemente; Saleta Canosa, Jesús Luis (Centro Español de Documentación sobre Discapacidad (CEDD), 2018-06-08)
      [Resumen] Las actitudes pueden facilitar o dificultar el proceso inclusivo en la educación superior. Los objetivos del presente estudio son determinar las actitudes del alumnado y docentes hacia la discapacidad y conocer ...
    • ANN multiscale model of anti-HIV Drugs activity vs AIDS prevalence in the US at county level based on information indices of molecular graphs and social networks 

      González-Díaz, Humberto; Herrera-Ibatá, Diana María; Duardo-Sánchez, Aliuska; Munteanu, Cristian-Robert; Orbegozo-Medina, Ricardo Alfredo; Pazos, A. (American Chemical Society, 2014)
      [Abstract] This work is aimed at describing the workflow for a methodology that combines chemoinformatics and pharmacoepidemiology methods and at reporting the first predictive model developed with this methodology. The ...
    • Application of scanning techniques for damage analysis in rubble mound breakwaters 

      Sande, José; Peña, Enrique; Neves, María Graça; Lemos, Rute; Figuero, Andrés; Reis, María Teresa; Alvarellos-González, Alberto; Rabuñal, Juan R. (2018)
    • Applied computational techniques on schizophrenia using genetic mutations 

      Aguiar-Pulido, Vanessa; Gestal, Marcos; Fernández-Lozano, Carlos; Rivero, Daniel; Munteanu, Cristian-Robert (Bentham, 2013-03-01)
      [Abstract] Schizophrenia is a complex disease, with both genetic and environmental influence. Machine learning techniques can be used to associate different genetic variations at different genes with a (schizophrenic or ...
    • 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 ...
    • Artificial neuron–glia networks learning approach based on cooperative coevolution 

      Fernández-Blanco, Enrique; Cedrón, Francisco; Pazos, A.; Porto-Pazos, Ana B.; Mesejo, Pablo; Ibáñez, Oscar (World Scientific, 2015-04-06)
      [Abstract] Artificial Neuron–Glia Networks (ANGNs) are a novel bio-inspired machine learning approach. They extend classical Artificial Neural Networks (ANNs) by incorporating recent findings and suppositions about the way ...
    • Assessing mouse alternatives to access to computer: a case study of a user with cerebral palsy 

      Pousada, Thais; Pereira-Loureiro, Javier; Groba, Betania; Nieto-Riveiro, Laura; Pazos, A. (Taylor & Francis para RESNA, 2014)
      [Abstract] The purpose of this study is to describe the process of assessment of three assistive devices to meet the needs of a woman with cerebral palsy (CP) in order to provide her with computer access and use. The user ...
    • Assisted surface redesign by perturbing its point cloud representation 

      Pazos Pérez, Rafael Iván; Carballal, Adrián; Rabuñal, Juan R.; Mures, Omar A.; García-Vidaurrázaga, María D. (IET, 2018-04-09)
      [Abstract] This research study explores the use of point clouds for design geometrically complex surfaces based on genetic morphogenesis. To this end, a point-based genetic algorithm and the use of massive unstructured ...
    • Authentication of tequilas using pattern recognition and supervised classification 

      Pérez-Caballero, G.; Andrade Garda, José Manuel; Olmos, P.; Molina, Y.; Jiménez, I.; Durán, J.J.; Fernández-Lozano, Carlos; Miguel-Cruz, F. (Elsevier, 2017-07-18)
      [Abstract] Sales of reputed, Mexican tequila grown substantially in last years and, therefore, counterfeiting is increasing steadily. Hence, methodologies intended to characterize and authenticate commercial beverages are ...
    • Authorship ans aesthetics experiments: comparision of results between human and computational systems 

      Castro, 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 ...
    • Automated early detection of drops in commercial egg production using neural networks 

      Ramírez-Morales, Iván; Fernández-Blanco, Enrique; Rivero, Daniel; Pazos, A. (Taylor & Francis, 2017-10-17)
      [Abstract] 1. The purpose of this work was to support decision-making in poultry farms by performing automatic early detection of anomalies in egg production. 2. Unprocessed data were collected from a commercial egg ...
    • Automatic multiscale vascular image segmentation algorithm for coronary angiography 

      Carballal, Adrián; Novoa, Francisco J.; Fernández-Lozano, Carlos; García-Guimaraes, Marcos; Aldama López, Guillermo; Calviño-Santos, Ramón; Vázquez-Rodríguez, José Manuel; Pazos, A. (Elsevier, 2018-09)
      [Abstract] Cardiovascular diseases, particularly severe stenosis, are the main cause of death in the western world. The primary method of diagnosis, considered to be the standard in the detection and quantification of ...
    • Bio-AIMS collection of chemoinformatics web tools based on molecular graph information and artificial intelligence models 

      Munteanu, Cristian-Robert; González-Díaz, Humberto; García, Rafael; Loza, Mabel; Pazos, A. (Bentham, 2015-09-01)
      [Abstract] The molecular information encoding into molecular descriptors is the first step into in silico Chemoinformatics methods in Drug Design. The Machine Learning methods are a complex solution to find prediction ...
    • Biomedical data integration in computational drug design and bioinformatics 

      Seoane, José A.; Aguiar-Pulido, Vanessa; Munteanu, Cristian-Robert; Rivero, Daniel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A. (Bentham Science, 2013)
      [Abstract In recent years, in the post genomic era, more and more data is being generated by biological high throughput technologies, such as proteomics and transcriptomics. This omics data can be very useful, but the real ...
    • BiOSS: A system for biomedical ontology selection 

      Martínez-Romero, Marcos; Vázquez-Naya, José-Manuel; Pereira-Loureiro, Javier; Pazos, A. (Elsevier Ireland Ltd, 2014-04)
      In biomedical informatics, ontologies are considered a key technology for annotating, retrieving and sharing the huge volume of publicly available data. Due to the increasing amount, complexity and variety of existing ...