Year: 2020 (9)


• D. Guijo-Rubio, C. Casanova-Mateo, J. Sanz-Justo, P.A. Gutiérrez, S. Cornejo-Bueno, C. Hervás-Martínez and S. Salcedo-Sanz. "Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport", Atmospheric Research, Vol. 236, May, 2020, pp. 104798. JCR(2020): 5.369 Position: 16/94 (Q1) Category: METEOROLOGY & ATMOSPHERIC SCIENCES. [More] [Bibtex] [RIS] [MODS]
• F.J. Jiménez-Romero, D. Guijo-Rubio, F.R. Lara-Raya, A. Ruiz-González and C. Hervás-Martínez. "Validation of artificial neural networks to model the acoustic behaviour of induction motors", Applied Acoustics, Vol. 166, March, 2020, pp. 107332. JCR(2020): 2.639 Position: 11/32 (Q2) Category: ACOUSTICS. [More] [Bibtex] [RIS] [MODS]
• M. Dorado-Moreno, N. Navarin, P.A. Gutiérrez, L. Prieto, A. Sperduti, S. Salcedo-Sanz and C. Hervás-Martínez. "Multi-task learning for the prediction of wind power ramp events with deep neural networks", Neural Networks, Vol. 123, March, 2020, pp. 401-411. JCR(2020): 8.050 Position: 25/273 (Q1) Category: NEUROSCIENCES. [More] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, P.A. Gutiérrez, C. Casanova-Mateo, J.C. Fernández, A.M. Gómez-Orellana, P. Salvador-González, S. Salcedo-Sanz and C. Hervás-Martínez. "Prediction of convective clouds formation using evolutionary neural computation techniques", Neural Computing and Applications, Vol. 32, February, 2020, pp. 13917-13929. JCR(2020): 5.606 Position: 31/140 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• A. Rivero-Juárez, D. Guijo-Rubio, F. Téllez, R. Palacios, D. Merino, J. Macías, J.C. Fernández, P.A. Gutiérrez, A. Rivero and C. Hervás-Martínez. "Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals", PLoS One, Vol. 15(1). 2020, pp. e0227188. JCR(2020): 3.240 Position: 26/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES. [More] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, A.M. Gómez-Orellana, P.A. Gutiérrez and C. Hervás-Martínez. "Short- and long-term energy flux prediction using Multi-Task Evolutionary Artificial Neural Networks", Ocean Engineering, Vol. 216, 108089, 2020. JCR(2020): 3.795 Position: 1/16 (Q1) Category: MARINE ENGINEERING. [More] [Bibtex] [RIS] [MODS]
• A. Martín, R. Lara-Cabrera, V.M. Vargas, P.A. Gutiérrez, C. Hervás-Martínez and D. Camacho. "Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks". Proceedings of the 2020 IEEE Congress on Evolutionary Computation (CEC2020). 19th-24th July. 2020. Glasgow, UK. pp. 1-8. [More] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, P.A. Gutiérrez, A. Bagnall and C. Hervás-Martínez. "Ordinal versus nominal time series classification". Proceedings of the 5th Workshop on Advances Analytics and Learning on Temporal Data. Springer ed. 18th September. 2020. Ghent, Belgium. Lecture Notes in Artificial Intelligence (LNAI), vol. 12588. pp. 19-29. [More] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, P.A. Gutiérrez, A. Bagnall and C. Hervás-Martínez. "Time series ordinal classification via shapelets". Proceedings of the 2020 IEEE International Joint Conference on Neural Networks (IJCNN2020). 19th-24th July. 2020. Glasgow, UK. pp. 1-8. [More] [Bibtex] [RIS] [MODS]

Year: 2019 (16)

• C. Perales-González, M. Carbonero-Ruz, D. Becerra-Alonso, J. Pérez-Rodríguez and F. Fernandez-Navarro. "Regularized ensemble neural networks models in the Extreme Learning Machine framework", Neurocomputing, Vol. 361, October, 2019, pp. 196-211. JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [More] [Bibtex] [RIS] [MODS]
• M.C. Heredia-Gómez, S. García, P.A. Gutiérrez and F. Herrera. "OCAPIS: R package for Ordinal Classification and Preprocessing in Scala", Progress in Artificial Intelligence, Vol. 8(3), September, 2019, pp. 287-292. [More] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, P.A. Gutiérrez, Á. Carmona-Poyato and C. Hervás-Martínez. "A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation", Neurocomputing, Vol. 353, August, 2019, pp. 45-55. JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [More] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, P.A. Gutiérrez, S. Salcedo-Sanz and C. Hervás-Martínez. "Dynamical Memetization in Coral Reef Optimization Algorithms for Optimal Time Series Approximation", Progress in Artificial Intelligence, Vol. 8(2), June, 2019, pp. 253-262. [More] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal. "Time series data mining: preprocessing, analysis, segmentation and prediction. Applications". C. Hervás-Martínez, P. A. Gutiérrez. 2019. [More] [Bibtex] [RIS] [MODS]
• J.-R. Cano, P.A. Gutiérrez, B. Krawczyk, M. Wozniak and S. García. "Monotonic classification: An overview on algorithms, performance measures and data sets", Neurocomputing, Vol. 341, May, 2019, pp. 168-182. JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [More] [Bibtex] [RIS] [MODS]
• M. Valverde-Moreno, M. Torres-Jiménez, A.M. Lucia-Casademunt and Y. Muñoz-Ocaña. "Cross cultural analysis of direct employee participation: dealing with gender and cultural values", Frontiers in Psychology, Vol. 10(723), April, 2019, pp. 1-13. JCR(2019): 2.067 Position: 45/138 (Q2) Category: PSYCHOLOGY, MULTIDISCIPLINARY. [More] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, P.A. Gutiérrez and C. Hervás-Martínez. "Predicción de altura de ola mediante discretización basada en distribuciones utilizando clasificación ordinal". U. Press ed. 2019. pp. 641-644. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, A.M. Durán-Rosal, P.A. Gutiérrez, J. Sánchez-Monedero, A. Nikolaou, F. Fernandez-Navarro and C. Hervás-Martínez. "On the use of evolutionary time series analysis for segmenting paleoclimate data", Neurocomputing, Vol. 326-327, January, 2019, pp. 3-14. JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [More] [Bibtex] [RIS] [MODS]
• J. Sánchez-Monedero, P.A. Gutiérrez and M. Pérez-Ortiz. "ORCA: A Matlab/Octave Toolbox for Ordinal Regression", Journal of Machine Learning Research, Vol. 20(125). 2019, pp. 1-5. JCR(2019): 3.484 Position: 40/136 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [More] [Bibtex] [RIS] [MODS]
• F. Comino, D. Guijo-Rubio, M. R. de Adana and C. Hervás-Martínez. "Validation of multitask artificial neural networks to model desiccant wheels activated at low temperature", International Journal of Refrigeration, Vol. 100. 2019, pp. 434-442. JCR(2019): 3.461 Position: 11/61 (Q1) Category: THERMODYNAMICS. [More] [Bibtex] [RIS] [MODS]
• J.C. Fernández, M. Carbonero-Ruz, P.A. Gutiérrez and C. Hervás-Martínez. "Multi-objective evolutionary optimization using the relationship between F1 and accuracy metrics in classification tasks", Applied Intelligence, Vol. 49(9). 2019, pp. 3447-3463. JCR(2019): 3.325 Position: 42/136 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• S. Jiménez-Fernández, C. Camacho-Gómez, R. Mallol-Poyato, J.C. Fernández, J.D. Ser, A. Portilla-Figueras and S. Salcedo-Sanz. "Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm", Sustainability, Vol. 11(1). 2019, pp. 169. JCR(2019): 2.576 Position: 120/265 (Q2) Category: ENVIRONMENTAL SCIENCES. [More] [Bibtex] [RIS] [MODS]
• M. Dorado-Moreno, P.A. Gutiérrez and C. Hervás-Martínez. "Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida". VII Congreso Científico de Investigadores en Formación. 6th-7th Febreaury. 2019. Córdoba, Spain. Creando Redes Doctorales Vol. VII: Investiga y Comunica, vol. III. pp. 629-632. [More] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, P.J. Villalón-Vaquero, P.A. Gutiérrez, M.D. Ayllón, J. Briceño and 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. [More] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, P.A. Gutiérrez, R. Tavenard and 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. [More] [Bibtex] [RIS] [MODS]