Year: 2019 (3)

• B. Amiri, A.M. Gómez-Orellana, P.A. Gutiérrez, R. Dizéne, C. Hervás-Martínez and 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. [More] [Bibtex] [RIS] [MODS]
• V.M. Vargas, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P. Tino, R. Mantiuk and 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. [More] [Bibtex] [RIS] [MODS]

Year: 2018 (22)


• A.M. Durán-Rosal, J.C. Fernández, C. Casanova-Mateo, J. Sanz-Justo, S. Salcedo-Sanz and 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. [More] [Bibtex] [RIS] [MODS]
• J.C. Fernández, M. Cruz-Ramírez and 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. [More] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, P.A. Gutiérrez, F.J. Martínez-Estudillo and 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. [More] [Bibtex] [RIS] [MODS]
• J. Sánchez-Monedero, M. Pérez-Ortiz, A. Sáez, P.A. Gutiérrez and 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. [More] [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 and 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. [More] [Bibtex] [RIS] [MODS]
• F. Fernandez-Navarro, M. A. de la Cruz, P.A. Gutiérrez, A. Castaño-Méndez and 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. [More] [Bibtex] [RIS] [MODS]
• A. García-Jurado, P. Castro-González, M. Torres-Jiménez and 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.. [More] [Bibtex] [RIS] [MODS]
• A. Mikhailiuk, M. Pérez-Ortiz and R.K. Mantiuk. "Psychometric scaling of TID2013 dataset". International Conference on Quality of Multimedia Experience. 2018. [More] [Bibtex] [RIS] [MODS]
• R. Cruz, K. Fernandes, J.F. Pinto-Costa, M. Pérez-Ortiz and 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. [More] [Bibtex] [RIS] [MODS]
• 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]