Publicaciones: Artículos

Modificado el 2 de Diciembre de 2020

2020

  • C. Esteban; F.J. Moraza: P. García; A. Aramburu; F. Sancho Caparrini; L. Chasco; J.A. Gutiérrez; F.J. Conde; S. Resino; C. Esteban. Recurrent Neural Networks and environmental data for COPD exacerbation prediction. European Respiratory Journal 2020 56: 2664; DOI: 10.1183/13993003.congress-2020.2664
  • D. Cabrera; F. Sancho-Caparrini; R.V. Sánchez; M. Cerrada; C. Li; J. ValenteFrom fault detection to one-class severity discrimination of 3D printers with one-class support vector machine. ISA Transactions, 2020.
  • J.L. Salazar; C. Zaccaro; J.A. Álvarez-García; L.M. Soria; F. Sancho-CaparriniReal-time gun detection in CCTV: An open problem. Neural Networks, 2020. https://doi.org/10.1016/j.neunet.2020.09.013
  • J. de Miguel; E. Villafañe; L. Piskorec; F. Sancho-CaparriniGenerative Building Typologies with Deep Variational Autoencoders. Design Science (Cambridge Core), in press. 2020.
  • D. Cabrera; F. Sancho-Caparrini; R.V. Sánchez; M. Cerrada; C. Li; J. ValenteOne-shot fault diagnosis of 3D printers through improved feature space learningIEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2020.3013546. 2020.
  • C. Li; D. Cabrera; F. Sancho-Caparrini; R.V. Sánchez; M. Cerrada; J. Long; J. Valente. Fusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals. Mechanical Systems and Signal Processing, in press. 2020.
  • D. Cabrera; F. Sancho-Caparrini; M. Cerrada; R.V. Sánchez; C. Li. Knowledge Extraction from Deep Convolutional Neural Networks Applied to Cyclo-stationary Time-Series Classification. Information Sciences, Volumen 524, pp. 1-14. 2020. https://doi.org/10.1016/j.ins.2020.03.039

2019

  • F. Enríquez; L. M. Soria; J. A. Álvarez-García; F. Sancho-Caparrini; F. Velasco; O. Deniz; N. Vallez. Vision and crowdsensing technology for an optimal response in physical-security. International Conference on Computational Science, Springer, 2019, pp. 15–26.
  • C. Esteban; C. Esteban-Aizpiri; A. Aramburu; F.J. Moraza; F. Sancho-Caparrini. Telehealth and machine learning for COPD patient care. International Journal of Integrated Care (IJIC) 19. 2019.
  • P. Almagro Blanco; F. Sancho-Caparrini. Improving Skip-Gram based Graph Embeddings via Centrality-Weighted Sampling. arxiv.org/abs/1907.08793
  • D. Cabrera; F. Sancho-Caparrini; J. Long; R.V. Sánchez; S. Zhang; M. Cerrada; C. Li . Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery. IEEE Access. Diciembre, 2019. Vol. 7, Issue 1. Pags 70643-70653. Print ISSN: 2169-3536. Online ISSN: 2169-3536. Digital Object Identifier: 10.1109/ACCESS.2019.2917604

2018

  • D. Cabrera; F. Sancho-Caparrini; F. Tobar. Combining reservoir computing and variational inference for efficient one-class learning on dynamical systems. Journal of Intelligent and Fuzzy Systems, IOS Press, 2018.
  • F. Sancho-Caparrini. Breve Historia de la Inteligencia Artificial. En "La Inteligencia Artificial. El mundo que viene". Revista de Occidente, Julio-Agosto 2018. http://www.ortegaygasset.edu/publicaciones/revistadeoccidente/julio-agosto-2018
  • D. Cabrera; F. Sancho-Caparrini; F. Tobar; M. Cerrada; R.V. Sánchez. Echo state network and variational autoencoder for efficient one-class learning on dynamical systems. Journal of Intelligent and Fuzzy Systems, IOS Press. DOI: 10.3233/JIFS-169552

2017

  • D. Cabrera; F. Sancho-Caparrini; C. Li; M. Cerrada; R.V. Sánchez; F. Pacheco; J. Valente. Automatic Feature Extraction of Time-Series applied to Fault Severity Evaluation of Helical Gearbox in Stationary and Non-Stationary Speed Operation. Applied Soft Computing Journalhttp://doi.org/10.1016/j.asoc.2017.04.016
  • P. Almagro-Blanco; F. Sancho-Caparrini. Generalized Graph Pattern MatchingarXiv:1708.03734
  • P. Almagro-Blanco; F. Sancho-CaparriniSemantic Preserving Embeddings for Generalized Graphs. arXiv:1709.02759
  • P. Almagro-Blanco; F. Sancho-Caparrini. Induction of Decision Trees based on Generalized Graph QueriesarXiv:1708.05563

2016

2015

  • M. Peña; F. Sancho-Caparrini. Big Data y Humanidades Digitales. Capítulo de libro en "Las Humanidades Digitales", editado por Red de Humanidades Digitales (RedHD), 2015.
  • D. Cabrera; F. Sancho-Caparrini; R.V. Sánchez; G. Zurita; M. Cerrada; C. Li; R.E. Vásquez. Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition. Frontiers of Mechanical Engineering. Sept, 2015
  • P. Almagro; E. Dávila; G. Guerrero; I. Medina; E. Regalado; Z. Ruíz; J. Salvador; F. Sancho-CaparriniNuevas líneas metodológicas aplicadas al patrimonio cultural ecuatoriano. Revista del Patrimonio Cultural del Ecuador, Vol 6, I Semestre 2015, ISSN 1390-9231 (Directora: Elena Noboa Jiménez).

  • A. Vanrell; J. L. Suárez; A. Sánchez; F. Sancho-CaparriniPropuestas para el Análisis de Colecciones de Arte a través de Metodologías y Herramientas Computacionales. Anuario Tarea, 2, 2015, Buenos Aires, Argentina.

2013

2012

2011

2010

2009

  • M. Peña; J.L. Suárez; F. Sancho-Caparrini. Topic Maps for Philological Analysis. Linked Topic Maps. Fifth International Conference on Topic Maps Research and Applications Conference, TMRA 2009. 29-39.

2008

2006

2005

  • A. Cordón; F. Sancho-Caparrini. Non-Discrete P Systems. Membrane Computing. Lecture Notes in Computer Science, 3365, pp. 287-295, 2005.

2004

2003

2002