Year: 2021 (10)

• P. Rodríguez, S. Graña, E.E. Alvarez-León, M. Battaglini, F.J. Darias, M.A. Hernán, R. López, P. Llaneza, M.C. Martín, O. Ramirez-Rubio, A. Romaní, B. Suárez-Rodríguez, J. Sánchez-Monedero, A. Arenas and L. Lacasa. "A population-based controlled experiment assessing the epidemiological impact of digital contact tracing", Nature Communications, Vol. 12(1), January, 2021, pp. 587. JCR (2021): 17.694 Position: 6/73 (Q1) Category: MULTIDISCIPLINARY SCIENCES. [More] [Bibtex] [RIS] [MODS]
• A.M. Gómez-Orellana, J.C. Fernández, M. Dorado-Moreno, P.A. Gutiérrez and C. Hervás-Martínez. "Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux", Energies, Vol. 14(2), January, 2021, pp. 468. JCR(2021): 3.252 Position: 80/119 (Q3) Category: ENERGY & FUELS. [More] [Bibtex] [RIS] [MODS]
• J. Sánchez-Monedero and L. Dencik. "The politics of deceptive borders: ’biomarkers of deceit’ and the case of iBorderCtrl", Information, Communication and Society, Vol. Accepted. 2021. JCR(2021): 5.054 Position: 12/148 (Q1) Category: SOCIOLOGY. [More] [Bibtex] [RIS] [MODS]
• A. Valdivia, J. Sánchez-Monedero and J. Casillas. "How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees", International Journal of Intelligent Systems, Vol. 36(4). 2021, pp. 1619-1643. JCR(2021): 8.993 Position: 20/144 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• B. Amiri, A.M. Gómez-Orellana, P.A. Gutiérrez, K. Dahmani and R. Dizène. "Multilayer Perceptron and Cascade Forward Neural Network for Short-term Tilted Irradiation Estimation in Algerian Sahara". The First International Conference on Renewable Energy Advanced Technologies and Applications (ICREATA'21). 25th-27th October. 2021. Research Unit for Renewable Energies in Saharan Region, Adrar. pp. 116-117. [More] [Bibtex] [RIS] [MODS]
• J. Barbero-Gómez, P.A. Gutiérrez and C. Hervás-Martínez. "Error-correcting output codes in the framework of deep ordinal classification". 2021 International Work-conference on Artificial Neural Networks (IWANN 2021). 16nd-18th June. 2021. Online. Lecture Notes in Computer Science (LNCS), vol. 12862. pp. 3-13. [More] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, V.M. Vargas, P.A. Gutiérrez and C. Hervás-Martínez. "Studying the effect of different Lp norms in the context of Time Series Ordinal Classification". Proceedings of the XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA). 22nd-24th September. 2021. Malaga, Spain. Lecture Notes in Artificial Intelligence (LNAI), vol. 12882. pp. 44-53. [More] [Bibtex] [RIS] [MODS]
• V.M. Vargas, D. Guijo-Rubio, P.A. Gutiérrez and C. Hervás-Martínez. "ReLU-based activations: analysis and experimental study for deep learning". Proceedings of the XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA). 22nd-24th September. 2021. Malaga, Spain. Lecture Notes in Artificial Intelligence (LNAI), vol. 12882. pp. 33-43. [More] [Bibtex] [RIS] [MODS]
• F.J. Rodriguez-Lozano, D. Guijo-Rubio, P.A. Gutiérrez, J.M. Soto-Hidalgo and J.C. Gámez-Granados. "Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library". Proceedings of the IEEE International Conference on Fuzzy Systems (Fuzz-IEEE2021). IEEE ed. 11th-14th July. 2021. Luxembourg, Luxembourg. [More] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, J. Briceño, P.A. Gutiérrez, M.D. Ayllón, R. Ciria and C. Hervás-Martínez. "Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation", PLoS One, Vol. 16(5), Mayo, 2021, pp. e0252068. JCR(2021): 3.752 Position: 29/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES. [More] [Bibtex] [RIS] [MODS]

Year: 2020 (15)

• D. Pamucar, M. Yazdani, R. Obradovic, A. Kumar and M. Torres-Jiménez. "A novel fuzzy hybrid neutrosophic decision‐making approach for the resilient supplier selection problem", International Journal of Intelligent Systems, Vol. 35(12), December, 2020, pp. 1934-1986. JCR(2020): 8.709 Position: 12/139 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [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. 52(3), December, 2020, pp. 57-74. JCR(2020): 2.908 Position: 63/139 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, A.M. Durán-Rosal, P.A. Gutiérrez, A.M. Gómez-Orellana, C. Casanova-Mateo, J. Sanz-Justo, S. Salcedo-Sanz and C. Hervás-Martínez. "Evolutionary artificial neural networks for accurate solar radiation prediction", Energy, Vol. 210, November, 2020, pp. 118374. JCR(2020): 7.147 Position: 3/62 (Q1) Category: THERMODYNAMICS. [More] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, P.A. Gutiérrez and C. Hervás-Martínez. "Machine learning methods in organ transplantation", Current Opinion in Organ Transplantation, Vol. 25(4), August, 2020, pp. 399-405. JCR(2020): 2.640 Position: 16/25 (Q3) Category: TRANSPLANTATION. [More] [Bibtex] [RIS] [MODS]
• V.M. Vargas, P.A. Gutiérrez and C. Hervás-Martínez. "Cumulative link models for deep ordinal classification", Neurocomputing, Vol. 401, August, 2020, pp. 48-58. JCR(2020): 5.719 Position: 30/140 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [More] [Bibtex] [RIS] [MODS]
• Á. Carmona-Poyato, N.L. Fernández-García, F.J. Madrid-Cuevas and A.M. Durán-Rosal. "A new approach for optimal time-series segmentation", Pattern Recognition Letters, Vol. 135, July, 2020, pp. 153-159. JCR(2020): 3.756 Position: 46/140 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• C. Castillo-Botón, D. Casillas-Pérez, C. Casanova-Mateo, L.M. Moreno-Saavedra, B. Morales-Díaz, J. Sanz-Justo, P.A. Gutiérrez and S. Salcedo-Sanz. "Analysis and Prediction of Dammed Water Level in a Hydropower Reservoir Using Machine Learning and Persistence-Based Techniques", Water, Vol. 12(6), May, 2020, pp. 1528. JCR(2020): 3.103 Position: 39/98 (Q2) Category: WATER RESOURCES -- SCIE. [More] [Bibtex] [RIS] [MODS]
• A. Martín, V.M. Vargas, P.A. Gutiérrez, D. Camacho and C. Hervás-Martínez. "Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm", Applied Soft Computing, Vol. 90, May, 2020, pp. 106144. JCR(2020): 6.725 Position: 11/112 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS. [More] [Bibtex] [RIS] [MODS]
• 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]