• A Blended Artificial Intelligence Approach for Spectral Classification of Stars in Massive Astronomical Surveys 

      Dafonte, Carlos; Rodríguez, Alejandra; Manteiga, Minia; Gómez García, Ángel; Arcay, Bernardino (MDPI AG, 2020-05-01)
      [Abstract] This paper analyzes and compares the sensitivity and suitability of several artificial intelligence techniques applied to the Morgan–Keenan (MK) system for the classification of stars. The MK system is based ...
    • 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 ...
    • Estudo de idoneidade de diferentes linguaxes de programación na aprendizaxe en Programación do Grao de Enxeñaría Informática 

      Castro Martínez, Alfonso; Arcay, Bernardino; Bóveda Álvarez, María del Carmen (Universidade da Coruña, Cufie, 2019)
      [Resumo] A materia de Programación forma parte do módulo de formación básica do Grao en Informática, o obxectivo desta materia é ensinar ao alumno a crear modelos computacionais de problemas do mundo real, a realización ...
    • Gaia Data Release 1: Summary of the astrometric, photometric, and survey properties 

      Brown, A. G. A.; Vallenari, A.; Prusti, T.; Bruijne, J. H.J. de; Manteiga, Minia; Álvarez, M. A.; Arcay, Bernardino; Dafonte, Carlos; Garabato, D.; Fustes, D. (EDP Sciences, 2016-11)
      [Abstract]: Context. At about 1000 days after the launch of Gaia we present the first Gaia data release, Gaia DR1, consisting of astrometry and photometry for over 1 billion sources brighter than magnitude 20.7. Aims. A ...
    • Gaia Data Release 2: Mapping the Milky Way disc kinematics 

      Katz, D.; Manteiga, Minia; Álvarez, M. A.; Arcay, Bernardino; Dafonte, Carlos; Garabato, D. (EDP Sciences, 2018)
      [Abstract] Context. The second Gaia data release (Gaia DR2) contains high-precision positions, parallaxes, and proper motions for 1.3 billion sources as well as line-of-sight velocities for 7.2 million stars brighter than ...
    • Gaia Data Release 2: Observational Hertzsprung-Russell diagrams 

      Babusiaux, C.; Manteiga, Minia; Álvarez, M. A.; Arcay, Bernardino; Dafonte, Carlos; Garabato, D. (EDP Sciences, 2018)
      [Abstract] Context. Gaia Data Release 2 provides high-precision astrometry and three-band photometry for about 1.3 billion sources over the full sky. The precision, accuracy, and homogeneity of both astrometry and photometry ...
    • Gaia Data Release 2: Observations of solar system objects 

      Manteiga, Minia; Spoto, F.; Álvarez, M. A.; Arcay, Bernardino; Dafonte, Carlos; Garabato, D. (EDP Sciences, 2018)
      [Abstract] Context. The Gaia spacecraft of the European Space Agency (ESA) has been securing observations of solar system objects (SSOs) since the beginning of its operations. Data Release 2 (DR2) contains the observations ...
    • Gaia Data Release 2: Summary of the contents and survey properties 

      Brown, A. G. A.; Vallenari, A.; Prusti, T.; Bruijne, J. H.J. de; Babusiaux, C.; Manteiga, Minia; Álvarez, M. A.; Arcay, Bernardino; Dafonte, Carlos; Garabato, D. (EDP Sciences, 2018-08)
      [Abstract]: Context. We present the second Gaia data release, Gaia DR2, consisting of astrometry, photometry, radial velocities, and information on astrophysical parameters and variability, for sources brighter than magnitude ...
    • Nuevas tecnologías de las telecomunicaciones en el ámbito de la informática biomédica 

      Dafonte, Carlos; Arcay, Bernardino; Castro Martínez, Alfonso; Gómez García, Ángel; Rodríguez Fernández, Alejandra (Universidade da Coruña, 2001)
    • Oil spill segmentation in SAR images using convolutional neural networks. A comparative analysis with clustering and logistic regression algorithms 

      Cantorna Berdullas, Diego; Dafonte, Carlos; Iglesias, Alfonso; Arcay, Bernardino (Elsevier Ltd, 2019-11)
      [Abstract]: Synthetic aperture radar (SAR) images are a valuable source of information for the detection of marine oil spills. For their effective analysis, it is important to have segmentation algorithms that can delimit ...
    • The Gaia mission 

      Prusti, T.; Manteiga, Minia; Álvarez, M. A.; Arcay, Bernardino; Dafonte, Carlos; Garabato, D.; Fustes, D.; Liu, C.; Bruijne, J. H. J. de; Brown, A. G. A. (EDP Sciences, 2016-11)
      [Abstract]: Gaia is a cornerstone mission in the science programme of the EuropeanSpace Agency (ESA). The spacecraft construction was approved in 2006, following a study in which the original interferometric concept was ...