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Year: 2022 (1)

Year: 2021 (16)

  • J. Barbero-Gómez, P.A. Gutiérrez, V.M. Vargas-Yun, J.-A. Vallejo-Casas and C. Hervás-Martínez. "An ordinal CNN approach for the assessment of neurological damage in Parkinson’s disease patients", Expert Systems with Applications, Vol. 182, November, 2021, pp. 115271. JCR(2020): 6.954 Position: 8/84 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE. [More] [Bibtex] [RIS] [MODS]
  • Á. Carmona-Poyato, N.L. Fernández-García, F.J. Madrid-Cuevas and A.M. Durán-Rosal. "A new approach for optimal offline time-series segmentation with error bound guarantee", Pattern Recognition, Vol. 115, July, 2021, pp. 107917. JCR(2020): 7.740 Position: 17/140 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
  • A.M. Durán-Rosal, J. Camacho-Cañamón, P.A. Gutiérrez, M.V. Guiote-Moreno, E. Rodríguez-Cáceres, J.A. Vallejo-Casas and C. Hervás-Martínez. "Ordinal classification of the affectation level of 3D-images in Parkinson diseases", Scientifc Reports, Vol. 11, March, 2021, pp. 7067. JCR(2020): 4.379 Position: 17/73 (Q1) Category: MULTIDISCIPLINARY SCIENCES. [More] [Bibtex] [RIS] [MODS]
  • B. Amiri, A.M. Gómez-Orellana, P.A. Gutiérrez, R. Dizene, C. Hervás-Martínez and K. Dahmani. "A Novel Approach for Global Solar Irradiation Forecasting on Tilted Plane using Hybrid Evolutionary Neural Networks", Journal of Cleaner Production, Vol. 287, March, 2021, pp. 125577. JCR(2020): 9.297 Position: 23/302 (Q1) Category: ENVIRONMENTAL SCIENCES. [More] [Bibtex] [RIS] [MODS]
  • P. Rodríguez, S. Graña, E.E. Alvarez-León, M. Battaglini, F.J. Darias, M.A. Hernán, R. López, P. Llaneza, M.C. Martín, O. Ramirez-Rubio, A. Romaní, B. Suárez-Rodríguez, J. Sánchez-Monedero, A. Arenas and L. Lacasa. "A population-based controlled experiment assessing the epidemiological impact of digital contact tracing", Nature Communications, Vol. 12(1), January, 2021, pp. 587. JCR (2020): 14.919 Position: 4/73 (Q1) Category: MULTIDISCIPLINARY SCIENCES. [More] [Bibtex] [RIS] [MODS]
  • V.M. Vargas-Yun, P.A. Gutiérrez, J. Barbero-Gómez and C. Hervás-Martínez. "Activation functions for convolutional neural networks: proposals and experimental study", IEEE Transactions on Neural Networks and Learning Systems, Vol. Accepted on 13th August 2021. 2021. JCR(2020): 10.451 Position: 3/110 (Q1) Category: COMPUTER SCIENCE, THEORY & METHODS.. [More] [Bibtex] [RIS] [MODS]
  • J.M. Dueñas-Jurado, P.A. Gutiérrez, A. Casado-Adam, F. Santos-Luna, Á. Salvatierra-Velázquez, S. Cárcel, C.J. Robles-Arista and C. Hervás-Martínez. "New models for donor-recipient matching in lung transplantations", PLoS One, Vol. 16(6). 2021, pp. e0252148. JCR(2020): 3.240 Position: 26/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES. [More] [Bibtex] [RIS] [MODS]
  • J. Sánchez-Monedero and L. Dencik. "The politics of deceptive borders: ’biomarkers of deceit’ and the case of iBorderCtrl", Information, Communication and Society, Vol. Accepted. 2021. JCR(2020): 5.422 Position: 6/149 (Q1) Category: SOCIOLOGY. [More] [Bibtex] [RIS] [MODS]
  • A. Valdivia, J. Sánchez-Monedero and J. Casillas. "How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees", International Journal of Intelligent Systems, Vol. 36(4). 2021, pp. 1619-1643. JCR(2020): 8.709 Position: 12/139 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
  • A.M. Gómez-Orellana, J.C. Fernández, M. Dorado-Moreno, P.A. Gutiérrez and C. Hervás-Martínez. "Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux", Energies, Vol. 14(2). 2021, pp. 468. JCR(2020): 3.004 Position: 70/114 (Q3) Category: ENERGY & FUELS. [More] [Bibtex] [RIS] [MODS]
  • D. Guijo-Rubio, A.M. Durán-Rosal, P.A. Gutiérrez, A. Troncoso and C. Hervás-Martínez. "Time series clustering based on the characterisation of segment typologies", IEEE Transactions on Cybernetics. 2021. JCR(2020): 11.448 Position: 6/140 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
  • J. Barbero-Gómez, P.A. Gutiérrez and C. Hervás-Martínez. "Error-correcting output codes in the framework of deep ordinal classification". 2021 International Work-conference on Artificial Neural Networks (IWANN 2021). 16nd-18th June. 2021. Online. Lecture Notes in Computer Science (LNCS), vol. 12862. pp. 3-13. [More] [Bibtex] [RIS] [MODS]
  • D. Guijo-Rubio, V.M. Vargas-Yun, P.A. Gutiérrez and C. Hervás-Martínez. "Studying the effect of different Lp norms in the context of Time Series Ordinal Classification". Proceedings of the XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA). 22nd-24th September. 2021. Malaga, Spain. Lecture Notes in Artificial Intelligence (LNAI), vol. 12882. pp. 44-53. [More] [Bibtex] [RIS] [MODS]
  • V.M. Vargas-Yun, D. Guijo-Rubio, P.A. Gutiérrez and C. Hervás-Martínez. "ReLU-based activations: analysis and experimental study for deep learning". Proceedings of the XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA). 22nd-24th September. 2021. Malaga, Spain. Lecture Notes in Artificial Intelligence (LNAI), vol. 12882. pp. 33-43. [More] [Bibtex] [RIS] [MODS]
  • F.J. Rodriguez-Lozano, D. Guijo-Rubio, P.A. Gutiérrez, J.M. Soto-Hidalgo and J.C. Gámez-Granados. "Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library". Proceedings of the IEEE International Conference on Fuzzy Systems (Fuzz-IEEE2021). IEEE ed. 11th-14th July. 2021. Luxembourg, Luxembourg. [More] [Bibtex] [RIS] [MODS]
  • D. Guijo-Rubio, J. Briceño, P.A. Gutiérrez, M.D. Ayllón, R. Ciria and C. Hervás-Martínez. "Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation", PLoS One, Vol. 16(5), Mayo, 2021, pp. e0252068. JCR(2020): 3.240 Position: 26/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES. [More] [Bibtex] [RIS] [MODS]

Year: 2020 (8)

Results 1 - 25 of 415