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Año: 2019 (5)

D. Guijo-Rubio, P.J. Villalón-Vaquero, P.A. Gutiérrez, M.D. Ayllón, J. Briceño y C. Hervás-Martínez. "Modelling survival by machine learning methods in liver transplantation: application to the UNOS dataset". Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2019). 14th-16th November. 2019. Manchester, UK. Lecture Notes in Computer Science (LNCS), vol. 11872. pp. 97-104. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, P.A. Gutiérrez, R. Tavenard y A. Bagnall. "A hybrid approach to time series classification with shapelets". Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2019). 14th-16th November. 2019. Manchester, UK. Lecture Notes in Computer Science (LNCS), vol. 11871. pp. 137-144. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
B. Amiri, A.M. Gómez-Orellana, P.A. Gutiérrez, R. Dizéne, C. Hervás-Martínez y D. Kahina. "Ten Minutes Solar Irradiation Forecasting on Inclined Plane using Evolutionary Product Unit Neural Networks". Proceedings of the 2019 International Conference of Computer Science and Renewable Energies (ICCSRE). 22th-24th July. 2019. Agadir, Morocco. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, P.A. Gutiérrez y C. Hervás-Martínez. "Deep Ordinal Classification Based on the Proportional Odds Model". Proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation (IWINAC 2019). 3-7 junio. 2019. Almería (España). Lecture Notes in Computer Science (LNCS), vol. 11487. pp. 441-451. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P. Tino, R. Mantiuk y C. Hervás-Martínez. "Exploiting synthetically generated data with semi-supervised learning for small and imbalanced datasets". Proceedings of the Thirty-Third AAAI (Association for the Advancement of Artificial Intelligence) Conference on Artificial Intelligence (AAAI'19). 27th February. 2019. Honolulu,Hawaii, USA. pp. 4715-4722. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2018 (23)

A.M. Durán-Rosal, J.C. Fernández, C. Casanova-Mateo, J. Sanz-Justo, S. Salcedo-Sanz y C. Hervás-Martínez. "Efficient Fog Prediction with Multi-objective Evolutionary Neural Networks", Applied Soft Computing, Vol. 70, September, 2018, pp. 347-358. JCR(2018): 4.873 Position: 20/134 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J.C. Fernández, M. Cruz-Ramírez y C. Hervás-Martínez. "Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms", Neural Computing and Applications, Vol. 30(1), June, 2018, pp. 289-305. JCR(2018): 4.664 Position: 21/133 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez, F.J. Martínez-Estudillo y C. Hervás-Martínez. "Simultaneous optimisation of clustering quality and approximation error for time series segmentation", Information Sciences, Vol. 442-443, May, 2018, pp. 186-201. JCR(2018): 5.524 Position: 9/155 (Q1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, M. Pérez-Ortiz, A. Sáez, P.A. Gutiérrez y C. Hervás-Martínez. "Partial order label decomposition approaches for melanoma diagnosis", Applied Soft Computing, Vol. 64, March, 2018, pp. 341-355. JCR(2018): 4.873 Position: 11/106 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.D. Ayllón, R. Ciria, M. Cruz-Ramírez, M. Pérez-Ortiz, I. Gómez, R. Valente, J. O’Grady, M. de la Mata, C. Hervás-Martínez, N.D. Heaton y J. Briceño. "Validation of artificial neural networks as a methodology for donor‐recipient matching for liver transplantation", Liver Transplantation, Vol. 24(2), February, 2018, pp. 192-203. JCR(2018): 4.159 Position: 16/203 (Q1) Category: SURGERY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, M. A. de la Cruz, P.A. Gutiérrez, A. Castaño-Méndez y C. Hervás-Martínez. "Time series forecasting by recurrent product unit neural networks", Neural Computing and Applications, Vol. 29(3), February, 2018, pp. 779-791. JCR(2018): 4.664 Position: 21/133 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. García-Jurado, P. Castro-González, M. Torres-Jiménez y A. Leal-Rodriguez. "Valuating the role of Gamification and Flow in e-consumers: Millennials versus Generation X", Kybernetes, Vol. 48(6). 2018, pp. 1278-1300. JCR(2018): 1.381 Position: 14/23 (Q3) Category: COMPUTER SCIENCE, CYBERNETICS.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Mikhailiuk, M. Pérez-Ortiz y R.K. Mantiuk. "Psychometric scaling of TID2013 dataset". International Conference on Quality of Multimedia Experience. 2018. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
R. Cruz, K. Fernandes, J.F. Pinto-Costa, M. Pérez-Ortiz y J.S. Cardoso. "Binary Ranking for Ordinal Class Imbalance", Pattern Analysis and Applications, Vol. 21. 2018, pp. 931-939. JCR(2018): 1.410 Position: 92/133 (Q3) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez, S. Salcedo-Sanz y C. Hervás-Martínez. "A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series", Applied Soft Computing, Vol. 63. 2018, pp. 139-153. JCR(2018): 4.873 Position: 20/134 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.D. Redel-Macías, C. Hervás-Martínez, P.A. Gutiérrez, S. Pinzi, A.J. Cubero-Atienza y M.P. Dorado. "Computational models to predict noise emissions of a diesel engine fueled with saturated and monounsaturated fatty acid methyl esters", Energy, Vol. 144. 2018, pp. 110-119. JCR(2018): 5.537 Position: 3/60 (Q1) Category: THERMODYNAMICS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez y C. Hervás-Martínez. "Detección y predicción de segmentos de altura de olas extremas". VI Congreso Cientı́fico de Investigadores en Formación. U. E. de Córdoba ed. 24th-26th January. 2018. Córdoba, Spain. Creando Redes Doctorales: La generación del conocimiento, vol. 6. pp. 509-512. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, A.M. Durán-Rosal, P.A. Gutiérrez, A. Troncoso y C. Hervás-Martínez. "Time series clustering based on the characterisation of segment typologies". Proceedings of Third Bilbao Data Science Workshop (BiDAS 3). 8th-9th November. 2018. Bilbao (Spain). [Más] [Bibtex] [RIS] [MODS]
A. Nikolaou, P.A. Gutiérrez, A.M. Durán-Rosal, F. Fernandez-Navarro, C. Hervás-Martínez y M. Pérez-Ortiz. "Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm". Proceedings of the 2018 European Planetary Science Congress. 16th-21st September. 2018. Berlin (Germany). EPSC2018-829-1, vol. 12. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, A.M. Durán-Rosal, A. Gómez-Orellana, P.A. Gutiérrez y C. Hervás-Martínez. "Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction". 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. 171-179. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, P.A. Gutiérrez, S. Salcedo-Sanz, L. Prieto y C. Hervás-Martínez. "Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida". Proceedings of the 2018 Conference of the Spanish Association for Artificial Intelligence (CAEPIA2018). 23rd-26th October. 2018. Granada (Spain). pp. 132-138. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Diaz-Lozano, D. Guijo-Rubio, P.A. Gutiérrez, C. Casanova-Mateo, S. Salcedo-Sanz y C. Hervás-Martínez. "Algoritmos de aprendizaje automático para predicción de niveles de niebla usando ventanas estáticas y dinámicas". Proceedings of the 2018 Conference of the Spanish Association for Artificial Intelligence (CAEPIA2018). 23rd-26th October. 2018. Granada (Spain). pp. 833-838. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Camacho-Cañamón, M.-V. Guiote, A.-M. Santos-Bueno, E. Rodrı́guez-Cáceres, E. Carmona-Asenjo, J.-A. Vallejo-Casas, P.A. Gutiérrez y C. Hervás-Martínez. "Clasificación ordinal de los grados de afectación de la enfermedad de Parkinson empleando imágenes de transportadores presinápticos de dopamina". Proceedings of the 2018 Conference of the Spanish Association for Artificial Intelligence (CAEPIA2018). 23rd-26th October. 2018. Granada (Spain). pp. 167-172. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez, S. Salcedo-Sanz y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, P.A. Gutiérrez, S. Salcedo-Sanz, L. Prieto y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, P.A. Gutiérrez, C. Casanova-Mateo, J. Sanz-Justo, S. Salcedo-Sanz y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, P. Tino, C. Casanova-Mateo y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2017 (25)

A.M. Durán-Rosal, M. de la Paz Marín, P.A. Gutiérrez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, J.C. Fernández, P.A. Gutiérrez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, M.D. Ayllón-Terán, N. Heaton, R. Ciria, J. Briceño y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, L. Cornejo-Bueno, P.A. Gutiérrez, L. Prieto, C. Hervás-Martínez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, M. Dorado-Moreno, P.A. Gutiérrez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.J. Vázquez-de-Francisco, M. Torres-Jiménez, P. Caldentey-del-Pozo y 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. [Más] [Versión en línea] [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. [Más] [Versión en línea] [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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P. Gomez-Rey. "Quality evaluation in education: two measurement instruments for virtual learning environments". Elena Barberà Gregori. Francisco Fernández Navarro. 2017. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
R. Cruz, K. Fernandes, J.F. Costa, M. Pérez-Ortiz y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
R. Cruz, K. Fernandes, J.F. Costa, M. Pérez-Ortiz y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, K. Fernandes, R. Cruz, J.S. Cardoso, J. Briceño y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, M. Pérez-Ortiz, P.A. Gutiérrez, R. Ciria, J. Briceño y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Carbonero-Ruz, F.J. Martínez-Estudillo, F. Fernandez-Navarro, D. Becerra-Alonso y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, M. Carbonero-Ruz, D. Becerra-Alonso y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, M. Pérez-Ortiz, A. Sáez, P.A. Gutiérrez y 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. [Más] [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 y 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. [Más] [Bibtex] [RIS] [MODS]
J. Camacho-Cañamón, M.V. Guiote, A.M. Bueno, E. Rodríguez-Cáceres, E.C. Asenjo, J.A. Casas, P.A. Gutiérrez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Camacho-Cañamón, V.G. Moreno, A.S. Bueno, E. Rodríguez-Cáceres, E.C. Asenjo, J.A. Casas, P.A. Gutiérrez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Camacho-Cañamón, M.J. Carreira, P.A. Gutiérrez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, M. Pérez-Ortiz y A. Suárez. "Class switching ensembles for ordinal regression". 14th International Work-Conference on Artificial and Natural Neural Networks (IWANN2017). 14th-16th June. 2017. Cádiz, Spain. Lecture Notes in Computer Science (LNCS), vol. 10305. pp. 408-419. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F.J. Maestre-García, C. García-Martínez, M. Pérez-Ortiz y P.A. Gutiérrez. "An iterated greedy algorithm for improving the generation of synthetic patterns in imbalanced learning". 14th International Work-Conference on Artificial and Natural Neural Networks (IWANN2017). 14th-16th June. 2017. Cádiz, Spain. Lecture Notes in Computer Science (LNCS), vol. 10305. pp. 513-524. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez, F.J. Martínez-Estudillo y C. Hervás-Martínez. "Multiobjective time series segmentation by improving clustering quality and reducing approximation error". Proceeding of the Metaheuristics International Conference (MIC 2017) and the XII Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2017) Conference. 4th-7th June. 2017. Barcelona. pp. 920-922. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez, S. Salcedo-Sanz y C. Hervás-Martínez. "A coral reef optimization algorithm for wave height time series segmentation problems". 14th International Work-Conference on Artificial and Natural Neural Networks (IWANN2017). 14th-16th June. 2017. Cádiz (Spain). Lecture Notes in Computer Science (LNCS), vol. 10305. pp. 673-684. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, L. Cornejo-Bueno, P.A. Gutiérrez, L. Prieto, S. Salcedo-Sanz y C. Hervás-Martínez. "Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction". 14th International Work-Conference on Artificial and Natural Neural Networks (IWANN2017). 14th-16th June. 2017. Cádiz, Spain. Lecture Notes in Computer Science (LNCS), vol. 10305. pp. 708-719. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2016 (37)

M. Pérez-Ortiz, P.A. Gutiérrez, M. Carbonero-Ruz y C. Hervás-Martínez. "Semi-Supervised Learning For Ordinal Kernel Discriminant Analysis", Neural Networks, Vol. 84, December, 2016, pp. 57-66. JCR(2016): 5.287 Position: 10/133 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, A.M. Durán-Rosal, P.A. Gutiérrez y C. Hervás-Martínez. "Clustering de Series Temporales basado en la Extracción de Tipologías de Segmentos". UCOPress ed. 2016. pp. 201-204. [Más] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, P. Tino y C. Hervás-Martínez. "Oversampling the minority class in the feature space", IEEE Transactions on Neural Networks and Learning Systems, Vol. 27(9), September, 2016, pp. 1947-1961. JCR(2016): 6.108 Position: 3/104 (Q1) Category: COMPUTER SCIENCE, THEORY & METHODS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, S. Jiménez-Fernández, P.A. Gutiérrez, E. Alexandre, C. Hervás-Martínez y S. Salcedo-Sanz. "A review of classification problems and algorithms in renewable energy applications", Energies, Vol. 9(8), August, 2016, pp. 607. JCR(2016): 2.262 Position: 45/92 (Q2) Category: ENERGY & FUELS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez y S. García. "Current prospects on ordinal and monotonic classification", Progress in Artificial Intelligence, Vol. 5(3), August, 2016, pp. 171-179. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, C. Hervás-Martínez, A.J. Tallón-Ballesteros, A.C. Martínez-Estudillo y S. Salcedo-Sanz. "Massive missing data reconstruction in ocean buoys with evolutionary product unit neural networks", Ocean Engineering, Vol. 117, May, 2016, pp. 292 - 301. JCR(2016): 1.894 Position: 2/14 (Q1) Category: ENGINEERING, MARINE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, M. Pérez-Ortiz, J. Sánchez-Monedero, F. Fernandez-Navarro y C. Hervás-Martínez. "Ordinal regression methods: survey and experimental study", IEEE Transactions on Knowledge and Data Engineering, Vol. 28(1), January, 2016, pp. 127-146. JCR(2016): 3.438 Position: 21/146 (Q1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Camacho-Cañamón. "Sistema automático para el cálculo de volumen de infarto cerebral a partir de imágenes de resonancia magnética". Investigando por un futuro mejor. 2016. pp. 196-200. [Más] [Bibtex] [RIS] [MODS]
J.M. Dueñas-Jurado, P.A. Gutiérrez, F. Santos-Luna, A. Salvatierra-Velázquez y C. Hervás-Martínez. "Nuevos modelos de asignación donante-receptor en el trasplante pulmonar". XXXI Reunión Nacional de Coordinadores de Transplantes. 2016. [Más] [Bibtex] [RIS] [MODS]
P. Tirado-Valencia, M.L. Rodero-Cosano, M. Ruiz-Lozano y A. Rios-Berjillos. "Online sustainability information in European local governments: An explicative model to improve transparency.", Online Information Review, Vol. 40(3). 2016, pp. 400-415. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.L. Rodero-Cosano, J.A. Salinas-Pérez, J.L. Gonzalez-Caballero, C. García-Alonso, C. Lagares-Franco y L. Salvador-Carulla. "A multi-level analysis of the relationship between spatial clusters of outpatient-treated depression, risk factors and mental health service planning in Catalonia (Spain).", Journal of affective disorders, Vol. 201. 2016, pp. 42-49. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, M. Pérez-Ortiz, A. Sáez, P.A. Gutiérrez y C. Hervás-Martínez. "Machine learning decomposition models for partial ordering problems: An application to melanoma severity classification". Proceedings of the 1st Workshop on Advances and Applications of Data Science & Engineering. 2016. pp. 113-118. [Más] [Bibtex] [RIS] [MODS]
D. Becerra-Alonso, M. Carbonero-Ruz y F. Fernandez-Navarro. "Using Extreme Learning Machines to cluster supervised data before classification". NoLineal 2016. Book of abstracts. 2016. Universidad de Sevilla. Talks, part 1: Theory and Computation. pp. 19. [Más] [Bibtex] [RIS] [MODS]
P. Gómez-Rey, E. Barbera-Gregori y F. Fernandez-Navarro. "The impact of culture in online learning", Educational Technology and Society, Vol. 19(4). 2016, pp. 124-138. [Más] [Bibtex] [RIS] [MODS]
P. Gómez-Rey, E. Barbera-Gregori y F. Fernandez-Navarro. "Measuring teaching and learners’ perceptions of the quality of their online learning experience", Distance Education, Vol. 37(2). 2016, pp. 146-163. JCR(2016): 1.592 Position: 56/235 (Q1) Category: EDUCATION & EDUCATIONAL RESEARCH. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
E. Barbera-Gregori, P. Gómez-Rey y F. Fernandez-Navarro. "A cross-national study of teacher’s perceptions of online learning success.", Open Learning: The journal of Open, Distance and e-Learning, Vol. 31(1). 2016, pp. 25-41. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Aguilar-Hidalgo, D. Becerra-Alonso, D. García-Morales y F. Casares. "Toward a study of gene regulatory constraints to morphological evolution of the Drosophila ocellar region", Development Genes and Evolution. 2016. JCR(2015): 2.508 Position: 18/41 (Q2) Category: DEVELOPMENTAL BIOLOGY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Sáez, J. Sánchez-Monedero, P.A. Gutiérrez y C. Hervás-Martínez. "Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images", IEEE Transactions on Medical Imaging, Vol. 35(4). 2016, pp. 1036-1045. JCR(2016): 3.942 Position: 9/105 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, J.M. Peña, P.A. Gutiérrez, J. Torres-Sánchez, C. Hervás-Martínez y F. López-Granados. "Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery", Expert Systems with Applications, Vol. 47. 2016, pp. 85-94. JCR(2016): 3.928 Position: 3/83 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, M. Fernández-Delgado, E. Cernadas, R. Domínguez-Petit, P.A. Gutiérrez y C. Hervás-Martínez. "On the use of nominal and ordinal classifiers for the discrimination of states of development in fish oocytes", Neural Processing Letters, Vol. 44(2). 2016, pp. 555-570. JCR(2016): 1.620 Position: 74/133 (Q3) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P. Gómez-Rey, F. Fernandez-Navarro y E. Barbera-Gregori. "Ordinal Regression by a Gravitational Model in the field of Educational Data Mining", Expert Systems, Vol. 33(2). 2016, pp. 161-175. JCR(2015): 0.947 Position: 57/105 (Q3) Category: COMPUTER SCIENCE, THEORY & METHODS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Castaño-Méndez, F. Fernandez-Navarro, A. Riccardi y C. Hervás-Martínez. "Enforcement of the principal component analysis–extreme learning machine algorithm by linear discriminant analysis", Neural Computing and Applications, Vol. 27(6). 2016, pp. 1749–1760. JCR(2016): 2.505 Position: 40/133 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, J. Sánchez-Monedero y C. Hervás-Martínez. "A study on multi-scale kernel optimisation via centered kernel-target alignment", Neural Processing Letters, Vol. 44(2). 2016, pp. 491-517. JCR(2016): 1.620 Position: 74/133 (Q3) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, A. Sianes y C. Hervás-Martínez. "From outside to hyper-globalisation: an Artificial Neural Network ordinal classifier to measure the extent of globalisation", Quality & Quantity. 2016. JCR(2016): 1.094 Position: 51/124 (Q2) Category: STATISTICS & PROBABILITY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Camacho-Cañamón, M.J. Carreira y P.A. Gutiérrez. "ICBrain: Software para cálculo del volumen de infarto cerebral provocado en roedores", Patente 03/2016/1359, 2016-11-17. [Más] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, J.C. Fernández, P.A. Gutiérrez y C. Hervás-Martínez. "Hybridization of neural network models for the prediction of extreme significant wave height segments". 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). 6th-9th December. 2016. Athens, Greece. pp. 1-8. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, M. Carbonero-Ruz y C. Hervás-Martínez. "Adapting Linear Discriminant Analysis to the Paradigm of Learning from Label Proportions". 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). 6th-9th December. 2016. Athens, Greece. pp. 1-7. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, J.M. Peña, J. Torres-Sánchez, F. López-Granados y C. Hervás-Martínez. "Machine Learning paradigms for Weed Mapping via Unmanned Aerial Vehicles". 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). 6th-9th December. 2016. Athens, Greece. pp. 1-8. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez, L. Prieto, S. Salcedo-Sanz y C. Hervás-Martínez. "Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines". Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016). 14th-16th September. 2016. Salamanca (Spain). Lecture Notes in Computer Science (LNCS), vol. 9868. pp. 300-309. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, M. Carbonero-Ruz y C. Hervás-Martínez. "Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis". Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016). Septiembre, 2016. 2016. Salamanca, Spain. Lecture Notes on Computer Science (LNCS), vol. 9868. pp. 79-88. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, M. Dorado-Moreno, P.A. Gutiérrez y C. Hervás-Martínez. "On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm". Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016). 14th-16th September. 2016. Salamanca (Spain). Lecture Notes in Computer Science (LNCS), vol. 9868. pp. 418-427. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, M. Pérez-Ortiz, M.D. Ayllón-Terán, P.A. Gutiérrez y C. Hervás-Martínez. "Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem". 11th International Conference on Hybrid Artificial Intelligent Systems (HAIS2016). 18th-20th April. 2016. Seville (Spain). Lecture Notes in Computer Science (LNCS), vol. 9648. pp. 451-462. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez, F.J. Martínez-Estudillo y C. Hervás-Martínez. "Time Series Representation by a Novel Hybrid Segmentation Algorithm". 11th International Conference on Hybrid Artificial Intelligent Systems (HAIS2016). 18th-20th April. 2016. Sevilla (Spain). Lecture Notes in Computer Science, vol. 9648. pp. 163-173. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, M. Torres-Jiménez, P.A. Gutiérrez, J. Sánchez-Monedero y C. Hervás-Martínez. "Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being". 11th International Conference on Hybrid Artificial Intelligent Systems (HAIS2016). 18th-20th April. 2016. Seville (Spain). Lecture Notes in Computer Science (LNCS), vol. 9648. pp. 597-608. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, A. Sáez, M. Pérez-Ortiz, P.A. Gutiérrez y C. Hervás-Martínez. "Classification of Melanoma Presence and Thickness Based on Computational Image Analysis". 11th International Conference on Hybrid Artificial Intelligent Systems (HAIS2016). 18th-20th April. 2016. Seville (Spain). Lecture Notes in Computer Science (LNCS), vol. 9648. pp. 427-438. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, M. Pérez-Ortiz, J. Sánchez-Monedero y C. Hervás-Martínez. "Representing ordinal input variables in the context of ordinal classification". IEEE International Joint Conference on Neural Networks (IJCNN2016). 24th-29th July. 2016. Vancouver, BC, Canada. pp. 2174-2181. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, A. Saez, J. Sánchez-Monedero, P.A. Gutiérrez y C. Hervás-Martínez. "Tackling the ordinal and imbalance nature of a melanoma image classification problem". IEEE International Joint Conference on Neural Networks (IJCNN2016). 24th-29th July. 2016. Vancouver, BC, Canada. pp. 2156-2163. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2015 (10)

D. Urzagasti, D. Becerra-Alonso, L.M. Pérez, H.L. Mancini y D. Laroze. "Hyper-chaotic Magnetisation Dynamics of Two Interacting Dipoles", Journal of Low Temperature Physics, Vol. 181(5), December, 2015, pp. 211–222. JCR(2015): 0.787 Position: 120/145 (Q4) Category: PHYSICS, APPLIED. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, C. Hervás-Martínez y X. Yao. "Graph-Based Approaches for Over-sampling in the context of Ordinal Regression", IEEE Transactions on Knowledge and Data Engineering, Vol. 27(5), May, 2015, pp. 1233-1245. JCR(2015): 2.476 Position: 17/143 (Q1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Nikolaou, P.A. Gutiérrez, A.M. Durán-Rosal, I. Dicaire, F. Fernandez-Navarro y C. Hervás-Martínez. "Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm", Climate Dynamics, Vol. 44(7--8), April, 2015, pp. 1919-1933. JCR (2015): 4.708 Position: 8/84 (Q1) Category: METEOROLOGY & ATMOSPHERIC SCIENCES. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Tang, P. Tino, P.A. Gutiérrez y H. Chen. "The Benefits of Modelling Slack Variables in SVMs", Neural Computation, Vol. 27(4), April, 2015, pp. 954-981. JCR (2015): 1.626 Position: 57/130 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. de la Paz Marín, P.A. Gutiérrez y C. Hervás-Martínez. "Classification of countries' progress toward a knowledge economy based on machine learning classification techniques", Expert Systems with Applications, Vol. 42(1), January, 2015, pp. 562-572. JCR(2015): 2.981 Position: 6/82 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J.A. Salinas-Pérez, M.L. Rodero-Cosano, C. García-Alonso y L. Salvador-Carulla. "Applying an Evolutionary Algorithm for the Analysis of Mental Disorders in Macro-urban Areas: The Case of Barcelona.", Spatial Economic Analysis, Vol. 10(3). 2015, pp. 270-288. JCR(2015): 0.818 Position: 177/345 (Q3) Category: ECONOMICS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Torres-Jiménez, C. García-Alonso, J. Sánchez-Monedero, S. Millán-Lara y C. Hervás-Martínez. "Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency", Progress in Artificial Intelligence, Vol. 4(3--4). 2015, pp. 59-67. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Torres-Jiménez, C. Hervás-Martínez, C. García-Alonso y S. Millán. "Evolutionary product unit logistic regression: The case of agrarian efficiency". Conferencia de la Asociación Española para la Inteligencia Articial (CAEPIA 2015). 2015. pp. 92-102. [Más] [Bibtex] [RIS] [MODS]
M. Torres-Jiménez, C. Garcia, A.L. Salvador y V. Fernández. "Evaluation of system efficiency using the Monte-Carlo DEA: The case of small health areas", European Journal of Operational Research, Vol. 242. 2015, pp. 525–535. JCR(2015): 2.679 Position: 7/83 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P. Gomez-Rey, E. Barbera-Gregori y F. Fernandez-Navarro. "Operalizionalizing the capability approach in online learning". ICERI 2015: 8th annual International Conference of Education, Research and Innovation. 2015. pp. 8200–8207. [Más] [Bibtex] [RIS] [MODS]

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