Year: 2018 (14)

• A.M. Durán-Rosal, P.A. Gutiérrez, S. Salcedo-Sanz and 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.. [More] [Bibtex] [RIS] [MODS]
• M.D. Redel-Macías, C. Hervás-Martínez, P.A. Gutiérrez, S. Pinzi, A.J. Cubero-Atienza and 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. [More] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, P.A. Gutiérrez and 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. [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". Proceedings of Third Bilbao Data Science Workshop (BiDAS 3). 8th-9th November. 2018. Bilbao (Spain). [More] [Bibtex] [RIS] [MODS]
• A. Nikolaou, P.A. Gutiérrez, A.M. Durán-Rosal, F. Fernandez-Navarro, C. Hervás-Martínez and 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. [More] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, A.M. Durán-Rosal, A. Gómez-Orellana, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
• M. Dorado-Moreno, P.A. Gutiérrez, S. Salcedo-Sanz, L. Prieto and 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. [More] [Bibtex] [RIS] [MODS]
• M. Diaz-Lozano, D. Guijo-Rubio, P.A. Gutiérrez, C. Casanova-Mateo, S. Salcedo-Sanz and 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. [More] [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 and 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. [More] [Bibtex] [RIS] [MODS]
• 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 (11)

• 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]