Year: 2018 (5)

• A.M. Durán-Rosal, P.A. Gutiérrez, S. Salcedo-Sanz and C. Hervás-Martínez. "An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series". Proceedings of the 2018 Conference of the Spanish Association for Artificial Intelligence (CAEPIA2018). 23rd-28th September. 2018. Granada (Spain). Lecture Notes in Computer Science, vol. 11160. pp. 209-218. [More] [Bibtex] [RIS] [MODS]
• M. Dorado-Moreno, P.A. Gutiérrez, S. Salcedo-Sanz, L. Prieto and C. Hervás-Martínez. "Wind power ramp events ordinal prediction using minimum complexity echo state networks". Proceedings of the 2018 International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2018). 21st-23rd November. 2018. Madrid, Spain. Lecture Notes in Computer Science (LNCS), vol. 11315. pp. 180-187. [More] [Bibtex] [RIS] [MODS]

• D. Guijo-Rubio, P.A. Gutiérrez, C. Casanova-Mateo, J. Sanz-Justo, S. Salcedo-Sanz and C. Hervás-Martínez. "Prediction of low-visibility events due to fog using ordinal classification", Atmospheric Research, Vol. 214, Diciembre, 2018, pp. 64-73. JCR(2018): 4.114 Position: 13/86 (Q1) Category: METEOROLOGY & ATMOSPHERIC SCIENCES. [More] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez and C. Hervás-Martínez. "Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation". Bioinspired Optimization Methods and their Applications (BIOMA2018). 16th-18th May. 2018. Paris (France). Lecture Notes in Computer Science (LNCS), vol. 10835. pp. 126-137. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, P. Tino, C. Casanova-Mateo and S. Salcedo-Sanz. "A mixture of experts model for predicting persistent weather patterns". Proceedings of the 2018 IEEE International Joint Conference on Neural Networks (IJCNN 2018). 8th-13th July. 2018. Rio (Brazil). pp. 5714-5721. [More] [Bibtex] [RIS] [MODS]

Year: 2017 (20)

• A.M. Durán-Rosal, M. de la Paz Marín, P.A. Gutiérrez and C. Hervás-Martínez. "Identifying market behaviours using European Stock Index time series by a hybrid segmentation algorithm", Neural Processing Letters, Vol. 46(3), December, 2017, pp. 767-790. JCR(2017): 1.787 Position: 63/132 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, J.C. Fernández, P.A. Gutiérrez and C. Hervás-Martínez. "Detection and prediction of segments containing extreme significant wave heights", Ocean Engineering, Vol. 142, September, 2017, pp. 268-279. JCR(2017): 2.214 Position: 2/14 (Q1) Category: ENGINEERING, MARINE. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, M.D. Ayllón-Terán, N. Heaton, R. Ciria, J. Briceño and C. Hervás-Martínez. "Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation", Knowledge-Based Systems, Vol. 123, May, 2017, pp. 75-87. JCR(2017): 4.396 Position: 14/132 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• M. Dorado-Moreno, L. Cornejo-Bueno, P.A. Gutiérrez, L. Prieto, C. Hervás-Martínez and S. Salcedo-Sanz. "Robust estimation of wind power ramp events with reservoir computing", Renewable Energy, Vol. 111, April, 2017, pp. 428-437. JCR(2017): 4.900 Position: 7/33 (Q1) Category: GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY. [More] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, M. Dorado-Moreno, P.A. Gutiérrez and C. Hervás-Martínez. "Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation", Progress in Artificial Intelligence, Vol. 6(1), March, 2017, pp. 59-66. [More] [Bibtex] [RIS] [MODS]
• M.J. Vázquez-de-Francisco, M. Torres-Jiménez, P. Caldentey-del-Pozo and O. Nekhay. "Evaluating impacts of university cooperation for development from the voice of the south", Revista de Economía Mundial, Vol. 47. 2017, pp. 95-116. JCR(2017): 0.415 Position: 311/353 (Q4) Category: ECONOMICS. [More] [Bibtex] [RIS] [MODS]
• M.D. Terán. "Validación de las redes neuronales artificiales como metodología para la asignación donante-receptor en el trasplante hepático". Francisco Javier Briceño Delgado. César Hervás-Martínez. 2017. [More] [Bibtex] [RIS] [MODS]
• F. de Borja Martín-Garrido. "Una aproximación a la relación entre los estilos de pensamiento y el grado de adaptación de los expatriados". Carlos R. García Alonso, Charles Vance, Emilio Morales. 2017. [More] [Bibtex] [RIS] [MODS]
• P. Gomez-Rey. "Quality evaluation in education: two measurement instruments for virtual learning environments". Elena Barberà Gregori. Francisco Fernández Navarro. 2017. [More] [Bibtex] [RIS] [MODS]
• R. Cruz, K. Fernandes, J.F. Costa, M. Pérez-Ortiz and J.S. Cardoso. "Ordinal Class Imbalance with Ranking". Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2017). 2017. Lecture Notes in Computer Science, vol. 10255. pp. 3-12. [More] [Bibtex] [RIS] [MODS]
• R. Cruz, K. Fernandes, J.F. Costa, M. Pérez-Ortiz and J.S. Cardoso. "Combining Ranking with Traditional Methods for Ordinal Class Imbalance". International Work Conference on Artificial Neural Networks (IWANN2017). 2017. Lecture Notes in Computer Science, vol. 10306. pp. 538-548. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, K. Fernandes, R. Cruz, J.S. Cardoso, J. Briceño and C. Hervás-Martínez. "Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation". IWANN 2017. 2017. Lecture Notes in Computer Science, vol. 10306. pp. 525-537. [More] [Bibtex] [RIS] [MODS]
• M. Dorado-Moreno, M. Pérez-Ortiz, P.A. Gutiérrez, R. Ciria, J. Briceño and C. Hervás-Martínez. "Dynamically weighted Evolutionary Ordinal Neural Network for solving an Imbalanced Liver Transplantation Problem", Artificial Intelligence in Medicine, Vol. 77. 2017, pp. 1-11. JCR(2017): 2.879 Position: 31/132 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• M. Carbonero-Ruz, F.J. Martínez-Estudillo, F. Fernandez-Navarro, D. Becerra-Alonso and A.C. Martínez-Estudillo. "A two dimensional accuracy-based measure for classification performance", Information Sciences, Vol. 382-383. 2017, pp. 60-80. JCR(2017): 4.305 Position: 12/148 (Q1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS. [More] [Bibtex] [RIS] [MODS]
• F. Fernandez-Navarro, M. Carbonero-Ruz, D. Becerra-Alonso and M. Torres-Jiménez. "Global sensitivity estimates for neural network classifiers", IEEE Transactions on Neural Networks and Learning Systems, Vol. 28(11). 2017, pp. 2592-2604. JCR(2017): 7.982 Position: 6/133 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• J. Sánchez-Monedero, M. Pérez-Ortiz, A. Sáez, P.A. Gutiérrez and C. Hervás-Martínez. "Advanced feature extraction and machine learning models to melanoma and Breslow index detection". 8th IMIBIC Young Investigators Meeting. 30-31th May. 2017. Córdoba, Spain. pp. 131. [More] [Bibtex] [RIS] [MODS]
• J. Camacho-Cañamón, M.V. Guiote-Moreno, A.M. Santos-Bueno, E. Rodríguez-Cáceres, E. Carmona-Asenjo, J.A. Vallejo-Casas, P.A. Gutiérrez and C. Hervás-Martínez. "Image classification of synaptic dopamine transporters 123I-Ioflupane by machine learning techniques". 8th IMIBIC Young Investigators Meeting. 30-31th May. 2017. Córdoba, Spain. pp. 88. [More] [Bibtex] [RIS] [MODS]
• J. Camacho-Cañamón, M.V. Guiote, A.M. Bueno, E. Rodríguez-Cáceres, E.C. Asenjo, J.A. Casas, P.A. Gutiérrez and C. Hervás-Martínez. "Image classification of synaptic dopamine transporters 123I-Ioflupane by machine learning techniques". Proceedings of the 2017 Annual Congress of the European Association of Nuclear Medicine (EANM17). 21st-25th October. 2017. Vienna, Austria. European Journal of Nuclear Medicine and Molecular Imaging, vol. 44. pp. S285-S286. [More] [Bibtex] [RIS] [MODS]
• J. Camacho-Cañamón, V.G. Moreno, A.S. Bueno, E. Rodríguez-Cáceres, E.C. Asenjo, J.A. Casas, P.A. Gutiérrez and C. Hervás-Martínez. "Clasificación de imágenes de transportadores sinápticos de dopamina con 123I-Ioflupano mediante técnicas de aprendizaje automático". 36.º Congreso de la Sociedad Española de Medicina Nuclear e Imagen Molecular. 24th-26th October. 2017. Palma de Mallorca (Spain). Revista Española de Medicina Nuclear e Imagen Molecular, vol. Sup 1. pp. 5. [More] [Bibtex] [RIS] [MODS]
• J. Camacho-Cañamón, M.J. Carreira, P.A. Gutiérrez and R. Iglesias-Rey. "Estimating rodent brain volume by a deformable contour model". Annual Conference on Medical Image Understanding and Analysis ( MIUA 2017). 11th-13th July. 2017. Edinburgh, United Kingdom. Communications in Computer and Information Science (CCIS), vol. 723. pp. 686-697. [More] [Bibtex] [RIS] [MODS]