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Year: 2019 (18)

  • 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(2018): 4.072 Position: 28/133 (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, 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(2018): 4.072 Position: 28/133 (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, 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(2018): 4.072 Position: 28/133 (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, April, 2019, pp. 1-13. JCR(2018): 2.129 Position: 40/137 (Q2) Category: PSYCHOLOGY, MULTIDISCIPLINARY. [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(2018): 4.072 Position: 28/133 (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. 2019, pp. 1-5. JCR(2018): 4.091 Position: 27/133 (Q1) 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(2018): 3.177 Position: 23/129 (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. 2019, pp. 3447-3463. JCR(2018): 2.882 Position: 46/133 (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. 2019, pp. 169. JCR(2018): 2.592 Position: 44/116 (Q2) Category: ENVIRONMENTAL STUDIES. [More] [Bibtex] [RIS] [MODS]
  • M. Dorado-Moreno, P.A. Gutiérrez, L. Cornejo-Bueno, L. Prieto, S. Salcedo-Sanz and C. Hervás-Martínez. "Ordinal multi-class architecture for predicting wind power ramp events based on reservoir computing", Neural Processing Letters, Vol. Accepted on 2018/09/19. 2019. JCR(2018): 2.591 Position: 59/133 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [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]
  • 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-Yun, 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, 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 (7)

Results 1 - 25 of 378