Listar por autor "Gestal, M."

Mostrando ítems 1-20 de 31

    • 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 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 ...

    • 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 ...

    • 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 ...

    • Approach of Genetic Algorithms With Grouping Into Species Optimized With Predator-Prey Method for Solving Multimodal Problems 

      Seoane, Pablo; Gestal, M.; Dorado, Julián; Rabuñal, Juan R.; Rivero, Daniel (Springer, 2012)
      [Abstract] Over recent years, Genetic Algorithms have proven to be an appropriate tool for solving certain problems. However, it does not matter if the search space has several valid solutions, as their classic approach ...

    • Aprendizaje basado en ejemplos: desarrollo de aplicaciones empresariales con tecnologías .net 

      Gestal, M.; Fernández-Blanco, Enrique; Rivero, Daniel; Vázquez-Naya, José; 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, ...

    • Avoiding Interference in Planar Arrays through the Use of Artificial Neural Networks 

      Brégains, Julio; Dorado, Julián; Gestal, M.; Rodríguez, J. A.; Ares, F.; Pazos, A. (Institute of Electrical and Electronics Engineers, 2002-08)
      [Abstract] This article implements an artificial neural network to find, through computer simulation, the excitations of a square planar array. The array is composed of 52 uniformly spaced subarrays, and has a quasi- in ...

    • Classification of Signals by Means of Genetic Programming 

      Fernández-Blanco, Enrique; Rivero, Daniel; Gestal, M.; Dorado, Julián (Springer, 2013-03-30)
      [Abstract] This paper describes a new technique for signal classification by means of Genetic Programming (GP). The novelty of this technique is that no prior knowledge of the signals is needed to extract the features. ...

    • Computación evolutiva para el proceso de selección de variables en espacios de búsqueda multimodales 

      Gestal, M. (2009)
      [Resumen] Esta tesis se enmarca dentro de la problemática de la selección de variables en espacios de búsqueda multimodal, Esta tarea puede ser abordada mediante diferentes técnicas, analizadas en profundidad e indicando ...

    • Developing a Secure Low-Cost Radon Monitoring System 

      Alvarellos, Alberto; Gestal, M.; Dorado, Julián; Rabuñal, Juan R. (MDPI AG, 2020-01-29)
      [Abstract] Radon gas has been declared a human carcinogen by the United States Environmental Protection Agency (USEPA) and the International Agency for Research on Cancer (IARC). Several studies carried out in Spain ...

    • Evolutionary Computation and QSAR Research 

      Aguiar-Pulido, Vanessa; Gestal, M.; Cruz-Monteagudo, Maykel; Rabuñal, Juan R.; Dorado, Julián; Munteanu, Cristian-Robert (Bentham Science, 2013)
      [Abstract] The successful high throughput screening of molecule libraries for a specific biological property is one of the main improvements in drug discovery. The virtual molecular filtering and screening relies greatly ...

    • Example-Based Learning: Development of Business Applications witn .Net Technologies 

      Gestal, M.; Vázquez-Naya, José; Fernández-Blanco, Enrique; Rivero, Daniel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A. (Universidad Peruana de Ciencias Aplicadas, 2015-06)
      [Abstract] For a long time, J2EE has been the dominating framework for the development of business applications. This fact resulted in a rich ecosystem of tools, manuals, tutorials, etc. that explain different implementation ...

    • Exploring Patterns of Epigenetic Information With Data Mining Techniques 

      Aguiar-Pulido, Vanessa; Seoane, José A.; Gestal, M.; Dorado, Julián (Bentham, 2013-02-01)
      [Abstract] Data mining, a part of the Knowledge Discovery in Databases process (KDD), is the process of extracting patterns from large data sets by combining methods from statistics and artificial intelligence with database ...

    • Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection Within Fruit Juice Classification 

      Fernández-Lozano, Carlos; Canto, C.; Gestal, M.; Andrade-Garda, José Manuel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A. (Hindawi, 2013-10-21)
      [Abstract] Given the background of the use of Neural Networks in problems of apple juice classification, this paper aim at implementing a newly developed method in the field of machine learning: the Support Vector Machines ...

    • Implementing a Web Application for W3C WebAuthn Protocol Testing 

      Rivera-Dourado, Martiño; Gestal, M.; Vázquez-Naya, José (MDPI AG, 2020-08-18)
      [Abstract] During the last few years, the FIDO Alliance and the W3C have been working on a new standard called WebAuthn that aims to substitute the obsolete password as an authentication method by using physical security ...

    • Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning 

      Munteanu, Cristian-Robert; Gestal, M.; Martínez-Acevedo, Yunuen G.; Pazos, A.; Dorado, Julián; Pedreira Souto, Nieves (MDPI, 2019)
      [Abstract] In this work, we improved a previous model used for the prediction of proteomes as new B-cell epitopes in vaccine design. The predicted epitope activity of a queried peptide is based on its sequence, a known ...

    • Improving Enzyme Regulatory Protein Classification by Means of SVM-RFE Feature Selection 

      Fernández-Lozano, Carlos; Fernández-Blanco, Enrique; Dave, Kirtan; Pedreira Souto, Nieves; Gestal, M.; Dorado, Julián; Munteanu, Cristian-Robert (Royal Society of Chemistry, 2014-01-14)
      [Abstract] Enzyme regulation proteins are very important due to their involvement in many biological processes that sustain life. The complexity of these proteins, the impossibility of identifying direct quantification ...

    • Integrative Multi-Omics Data-Driven Approach for Metastasis Prediction in Cancer 

      Fernández-Lozano, Carlos; Liñares Blanco, Jose; Gestal, M.; Dorado, Julián; Pazos, A. (ACM, 2018)
      [Abstract] Nowadays biomedical research is generating huge amounts of omic data, covering all levels of genetic information from nucleotide sequencing to protein metabolism. In the beginning, data were analyzed independently ...

    • Kernel-Based Feature Selection Techniques for Transport Proteins Based on Star Graph Topological Indices 

      Fernández-Lozano, Carlos; Gestal, M.; Pedreira Souto, Nieves; Postelnicu, Lucian; Dorado, Julián; Munteanu, Cristian-Robert (Bentham, 2013)
      [Abstract] The transport of the molecules inside cells is a very important topic, especially in Drug Metabolism. The experimental testing of the new proteins for the transporter molecular function is expensive and inefficient ...

    • Machine Learning-Based Radon Monitoring System 

      Valcarce, Diego; Alvarellos, Alberto; Rabuñal, Juan R.; Dorado, Julián; Gestal, M. (MDPI, 2022)
      [Abstract] Radon (Rn) is a biological threat to cells due to its radioactivity. It is capable of penetrating the human body and damaging cellular DNA, causing mutations and interfering with cellular dynamics. Human exposure ...