Now showing items 1-20 of 143

    • 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, M.; 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 Multi-Objective Approach for Anti-Osteosarcoma Cancer Agents Discovery through Drug Repurposing 

      Cabrera-Andrade, Alejandro; López-Cortés, Andrés; Jaramillo-Koupermann, Gabriela; González-Díaz, Humberto; Pazos, A.; Munteanu, Cristian-Robert; Pérez-Castillo, Yunierkis; Tejera, Eduardo (MDPI AG, 2020-11-22)
      [Abstract] Osteosarcoma is the most common type of primary malignant bone tumor. Although nowadays 5-year survival rates can reach up to 60–70%, acute complications and late effects of osteosarcoma therapy are two of the ...
    • A New Evolutionary Computation Technique for 2D: Morphogenesis and Information Processing 

      Fernández-Blanco, Enrique; Dorado, Julián; Rabuñal, Juan R.; Gestal, M.; Pedreira Souto, Nieves (WSEAS Press, 2007-03)
      [Abstract] Paper presents a new model that takes the behaviour of biological cells and tries to adapt some of their characteristics to the artificial cells in order to solve computational problems. This model can be related ...
    • A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors 

      García-González, Daniel; Rivero, Daniel; Fernández-Blanco, Enrique; Rodríguez Luaces, Miguel (MDPI AG, 2020-04-13)
      [Abstract] In recent years, human activity recognition has become a hot topic inside the scientific community. The reason to be under the spotlight is its direct application in multiple domains, like healthcare or fitness. ...
    • A Quick Guide for Using Microsoft Onenote as an Electronic Laboratory Notebook 

      Guerrero, Santiago; López-Cortés, Andrés; García, Jennyfer; Saa, Pablo; Indacochea Cusirramos, Alberto; Armendáriz-Castillo, Isaac; Zambrano, Ana; Yumiceba, Verónica; Pérez 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 Recommender System Based on Cohorts’ Similarity 

      Almeida, João Rafael; Monteiro, Eriksson; Silva, Luís Bastião; Pazos, A.; Oliveira, José Luís (IOS Press, 2020-06-16)
      [Abstract] Aiming to better understand the genetic and environmental associations of Alzheimer's disease, many clinical trials and scientific studies have been conducted. However, these studies are often based on a small ...
    • A Recommender System to Help Refining Clinical Research Studies 

      Almeida, João Rafael; Silva, João Figueira; Matos, Sergio; Pazos, A.; Oliveira, José Luís (IOS Press, 2021-05-01)
      [Abstract] The process of refining the research question in a medical study depends greatly on the current background of the investigated subject. The information found in prior works can directly impact several stages ...
    • 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, Pablo; 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 ...
    • An Application of Fish Detection Based on Eye Search with Artificial Vision and Artificial Neural Networks 

      Rico-Díaz, Ángel-José; Rabuñal, Juan R.; Gestal, M.; Mures, Omar A.; Puertas, Jerónimo (MDPI AG, 2020-10-27)
      [Abstract] A fish can be detected by means of artificial vision techniques, without human intervention or handling the fish. This work presents an application for detecting moving fish in water by artificial vision based ...
    • 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 ...
    • Applicability of Clinical Decision Support in Management among Patients Undergoing Cardiac Surgery in Intensive Care Unit: A Systematic Review 

      Pereira, Miguel; Concheiro-Moscoso, Patricia; López-Álvarez, Alexo; Baños, Gerardo; Pazos, A.; Pereira-Loureiro, Javier (MDPI, 2021-03-23)
      [Abstract] The advances achieved in recent decades regarding cardiac surgery have led to a new risk that goes beyond surgeons’ dexterity; postoperative hours are crucial for cardiac surgery patients and are usually spent ...
    • 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, Alberto; Rabuñal, Juan R. (2018)
    • Applied Computational Techniques on Schizophrenia Using Genetic Mutations 

      Aguiar-Pulido, Vanessa; Gestal, M.; 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 ...
    • Aprendizaje basado en ejemplos: desarrollo de aplicaciones empresariales con tecnologías .net 

      Gestal, M.; Fernández-Blanco, Enrique; Rivero, Daniel; Vázquez-Naya, José-Manuel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A. (Universidad Peruana de Ciencias Aplicadas, 2015-06)
      [Resumen] El framework J2EE ha sido el gran dominador, durante mucho tiempo, en el desarrollo de aplicaciones empresariales. Esto hecho originó la aparición de un rico ecosistema de herramientas, manuales, tutoriales, ...
    • 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 ...