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Año: 2022 (1)

V.M. Vargas-Yun, P.A. Gutiérrez y C. Hervás-Martínez. "Unimodal regularisation based on beta distribution for deep ordinal regression", Pattern Recognition, Vol. 122, February, 2022, pp. 108310. JCR(2020): 7.740 Position: 17/140 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2021 (12)

J. Barbero-Gómez, P.A. Gutiérrez, V.M. Vargas-Yun, J.-A. Vallejo-Casas y C. Hervás-Martínez. "An ordinal CNN approach for the assessment of neurological damage in Parkinson’s disease patients", Expert Systems with Applications, Vol. 182, November, 2021, pp. 115271. JCR(2020): 6.954 Position: 8/84 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
Á. Carmona-Poyato, N.L. Fernández-García, F.J. Madrid-Cuevas y A.M. Durán-Rosal. "A new approach for optimal offline time-series segmentation with error bound guarantee", Pattern Recognition, Vol. 115, July, 2021, pp. 107917. JCR(2020): 7.740 Position: 17/140 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, J. Camacho-Cañamón, P.A. Gutiérrez, M.V. Guiote-Moreno, E. Rodríguez-Cáceres, J.A. Vallejo-Casas y C. Hervás-Martínez. "Ordinal classification of the affectation level of 3D-images in Parkinson diseases", Scientifc Reports, Vol. 11, March, 2021, pp. 7067. JCR(2020): 4.379 Position: 17/73 (Q1) Category: MULTIDISCIPLINARY SCIENCES. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
B. Amiri, A.M. Gómez-Orellana, P.A. Gutiérrez, R. Dizene, C. Hervás-Martínez y K. Dahmani. "A Novel Approach for Global Solar Irradiation Forecasting on Tilted Plane using Hybrid Evolutionary Neural Networks", Journal of Cleaner Production, Vol. 287, March, 2021, pp. 125577. JCR(2020): 9.297 Position: 23/302 (Q1) Category: ENVIRONMENTAL SCIENCES. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
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 y 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 (2020): 14.919 Position: 4/73 (Q1) Category: MULTIDISCIPLINARY SCIENCES. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas-Yun, P.A. Gutiérrez, J. Barbero-Gómez y C. Hervás-Martínez. "Activation functions for convolutional neural networks: proposals and experimental study", IEEE Transactions on Neural Networks and Learning Systems, Vol. Accepted on 13th August 2021. 2021. JCR(2020): 10.451 Position: 3/110 (Q1) Category: COMPUTER SCIENCE, THEORY & METHODS.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J.M. Dueñas-Jurado, P.A. Gutiérrez, A. Casado-Adam, F. Santos-Luna, Á. Salvatierra-Velázquez, S. Cárcel, C.J. Robles-Arista y C. Hervás-Martínez. "New models for donor-recipient matching in lung transplantations", PLoS One, Vol. 16(6). 2021, pp. e0252148. JCR(2020): 3.240 Position: 26/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero y L. Dencik. "The politics of deceptive borders: ’biomarkers of deceit’ and the case of iBorderCtrl", Information, Communication and Society, Vol. Accepted. 2021. JCR(2020): 5.422 Position: 6/149 (Q1) Category: SOCIOLOGY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Valdivia, J. Sánchez-Monedero y 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(2020): 8.709 Position: 12/139 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Gómez-Orellana, J.C. Fernández, M. Dorado-Moreno, P.A. Gutiérrez y 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). 2021, pp. 468. JCR(2020): 3.004 Position: 70/114 (Q3) Category: ENERGY & FUELS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, A.M. Durán-Rosal, P.A. Gutiérrez, A. Troncoso y C. Hervás-Martínez. "Time series clustering based on the characterisation of segment typologies", IEEE Transactions on Cybernetics. 2021. JCR(2020): 11.448 Position: 6/140 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, J. Briceño, P.A. Gutiérrez, M.D. Ayllón, R. Ciria y 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(2020): 3.240 Position: 26/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2020 (14)

D. Pamucar, M. Yazdani, R. Obradovic, A. Kumar y 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.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, P.A. Gutiérrez, L. Cornejo-Bueno, L. Prieto, S. Salcedo-Sanz y 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. [Más] [Versión en línea] [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 y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, P.A. Gutiérrez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas-Yun, P.A. Gutiérrez y 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.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
Á. Carmona-Poyato, N.L. Fernández-García, F.J. Madrid-Cuevas y 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. [Más] [Versión en línea] [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 y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Martín, V.M. Vargas-Yun, P.A. Gutiérrez, D. Camacho y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, C. Casanova-Mateo, J. Sanz-Justo, P.A. Gutiérrez, S. Cornejo-Bueno, C. Hervás-Martínez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F.J. Jiménez-Romero, D. Guijo-Rubio, F.R. Lara-Raya, A. Ruiz-González y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, N. Navarin, P.A. Gutiérrez, L. Prieto, A. Sperduti, S. Salcedo-Sanz y 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. [Más] [Versión en línea] [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 y 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. [Más] [Versión en línea] [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 y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, A.M. Gómez-Orellana, P.A. Gutiérrez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2019 (11)

C. Perales-González, M. Carbonero-Ruz, D. Becerra-Alonso, J. Pérez-Rodríguez y 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.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.C. Heredia-Gómez, S. García, P.A. Gutiérrez y F. Herrera. "OCAPIS: R package for Ordinal Classification and Preprocessing in Scala", Progress in Artificial Intelligence, Vol. 8(3), September, 2019, pp. 287-292. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez, Á. Carmona-Poyato y 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.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez, S. Salcedo-Sanz y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J.-R. Cano, P.A. Gutiérrez, B. Krawczyk, M. Wozniak y 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.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Valverde-Moreno, M. Torres-Jiménez, A.M. Lucia-Casademunt y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, A.M. Durán-Rosal, P.A. Gutiérrez, J. Sánchez-Monedero, A. Nikolaou, F. Fernandez-Navarro y 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.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, P.A. Gutiérrez y 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.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Comino, D. Guijo-Rubio, M. R. de Adana y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J.C. Fernández, M. Carbonero-Ruz, P.A. Gutiérrez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
S. Jiménez-Fernández, C. Camacho-Gómez, R. Mallol-Poyato, J.C. Fernández, J.D. Ser, A. Portilla-Figueras y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2018 (11)

A.M. Durán-Rosal, J.C. Fernández, C. Casanova-Mateo, J. Sanz-Justo, S. Salcedo-Sanz y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J.C. Fernández, M. Cruz-Ramírez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez, F.J. Martínez-Estudillo y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, M. Pérez-Ortiz, A. Sáez, P.A. Gutiérrez y 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. [Más] [Versión en línea] [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 y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, M. A. de la Cruz, P.A. Gutiérrez, A. Castaño-Méndez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. García-Jurado, P. Castro-González, M. Torres-Jiménez y 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.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
R. Cruz, K. Fernandes, J.F. Pinto-Costa, M. Pérez-Ortiz y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez, S. Salcedo-Sanz y 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.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.D. Redel-Macías, C. Hervás-Martínez, P.A. Gutiérrez, S. Pinzi, A.J. Cubero-Atienza y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, P.A. Gutiérrez, C. Casanova-Mateo, J. Sanz-Justo, S. Salcedo-Sanz y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2017 (9)

A.M. Durán-Rosal, M. de la Paz Marín, P.A. Gutiérrez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, J.C. Fernández, P.A. Gutiérrez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, M.D. Ayllón-Terán, N. Heaton, R. Ciria, J. Briceño y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, L. Cornejo-Bueno, P.A. Gutiérrez, L. Prieto, C. Hervás-Martínez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, M. Dorado-Moreno, P.A. Gutiérrez y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.J. Vázquez-de-Francisco, M. Torres-Jiménez, P. Caldentey-del-Pozo y 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. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, M. Pérez-Ortiz, P.A. Gutiérrez, R. Ciria, J. Briceño y C. Hervás-Martínez. "Dynamically weighted Evolutionary Ordinal Neural Network for solving an Imbalanced Liver Transplantation Problem", Artificial Intelligence in Medicine, Vol. 77. 2017, pp. 1-11. JCR(2017): 2.879 Position: 31/132 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Carbonero-Ruz, F.J. Martínez-Estudillo, F. Fernandez-Navarro, D. Becerra-Alonso y A.C. Martínez-Estudillo. "A two dimensional accuracy-based measure for classification performance", Information Sciences, Vol. 382-383. 2017, pp. 60-80. JCR(2017): 4.305 Position: 12/148 (Q1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, M. Carbonero-Ruz, D. Becerra-Alonso y M. Torres-Jiménez. "Global sensitivity estimates for neural network classifiers", IEEE Transactions on Neural Networks and Learning Systems, Vol. 28(11). 2017, pp. 2592-2604. JCR(2017): 7.982 Position: 6/133 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2016 (19)

M. Pérez-Ortiz, P.A. Gutiérrez, M. Carbonero-Ruz y C. Hervás-Martínez. "Semi-Supervised Learning For Ordinal Kernel Discriminant Analysis", Neural Networks, Vol. 84, December, 2016, pp. 57-66. JCR(2016): 5.287 Position: 10/133 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, P. Tino y C. Hervás-Martínez. "Oversampling the minority class in the feature space", IEEE Transactions on Neural Networks and Learning Systems, Vol. 27(9), September, 2016, pp. 1947-1961. JCR(2016): 6.108 Position: 3/104 (Q1) Category: COMPUTER SCIENCE, THEORY & METHODS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, S. Jiménez-Fernández, P.A. Gutiérrez, E. Alexandre, C. Hervás-Martínez y S. Salcedo-Sanz. "A review of classification problems and algorithms in renewable energy applications", Energies, Vol. 9(8), August, 2016, pp. 607. JCR(2016): 2.262 Position: 45/92 (Q2) Category: ENERGY & FUELS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez y S. García. "Current prospects on ordinal and monotonic classification", Progress in Artificial Intelligence, Vol. 5(3), August, 2016, pp. 171-179. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, C. Hervás-Martínez, A.J. Tallón-Ballesteros, A.C. Martínez-Estudillo y S. Salcedo-Sanz. "Massive missing data reconstruction in ocean buoys with evolutionary product unit neural networks", Ocean Engineering, Vol. 117, May, 2016, pp. 292 - 301. JCR(2016): 1.894 Position: 2/14 (Q1) Category: ENGINEERING, MARINE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P.A. Gutiérrez, M. Pérez-Ortiz, J. Sánchez-Monedero, F. Fernandez-Navarro y C. Hervás-Martínez. "Ordinal regression methods: survey and experimental study", IEEE Transactions on Knowledge and Data Engineering, Vol. 28(1), January, 2016, pp. 127-146. JCR(2016): 3.438 Position: 21/146 (Q1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P. Tirado-Valencia, M.L. Rodero-Cosano, M. Ruiz-Lozano y A. Rios-Berjillos. "Online sustainability information in European local governments: An explicative model to improve transparency.", Online Information Review, Vol. 40(3). 2016, pp. 400-415. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.L. Rodero-Cosano, J.A. Salinas-Pérez, J.L. Gonzalez-Caballero, C. García-Alonso, C. Lagares-Franco y L. Salvador-Carulla. "A multi-level analysis of the relationship between spatial clusters of outpatient-treated depression, risk factors and mental health service planning in Catalonia (Spain).", Journal of affective disorders, Vol. 201. 2016, pp. 42-49. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P. Gómez-Rey, E. Barbera-Gregori y F. Fernandez-Navarro. "The impact of culture in online learning", Educational Technology and Society, Vol. 19(4). 2016, pp. 124-138. [Más] [Bibtex] [RIS] [MODS]
P. Gómez-Rey, E. Barbera-Gregori y F. Fernandez-Navarro. "Measuring teaching and learners’ perceptions of the quality of their online learning experience", Distance Education, Vol. 37(2). 2016, pp. 146-163. JCR(2016): 1.592 Position: 56/235 (Q1) Category: EDUCATION & EDUCATIONAL RESEARCH. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
E. Barbera-Gregori, P. Gómez-Rey y F. Fernandez-Navarro. "A cross-national study of teacher’s perceptions of online learning success.", Open Learning: The journal of Open, Distance and e-Learning, Vol. 31(1). 2016, pp. 25-41. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Aguilar-Hidalgo, D. Becerra-Alonso, D. García-Morales y F. Casares. "Toward a study of gene regulatory constraints to morphological evolution of the Drosophila ocellar region", Development Genes and Evolution. 2016. JCR(2015): 2.508 Position: 18/41 (Q2) Category: DEVELOPMENTAL BIOLOGY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Sáez, J. Sánchez-Monedero, P.A. Gutiérrez y C. Hervás-Martínez. "Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images", IEEE Transactions on Medical Imaging, Vol. 35(4). 2016, pp. 1036-1045. JCR(2016): 3.942 Position: 9/105 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, J.M. Peña, P.A. Gutiérrez, J. Torres-Sánchez, C. Hervás-Martínez y F. López-Granados. "Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery", Expert Systems with Applications, Vol. 47. 2016, pp. 85-94. JCR(2016): 3.928 Position: 3/83 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, M. Fernández-Delgado, E. Cernadas, R. Domínguez-Petit, P.A. Gutiérrez y C. Hervás-Martínez. "On the use of nominal and ordinal classifiers for the discrimination of states of development in fish oocytes", Neural Processing Letters, Vol. 44(2). 2016, pp. 555-570. JCR(2016): 1.620 Position: 74/133 (Q3) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P. Gómez-Rey, F. Fernandez-Navarro y E. Barbera-Gregori. "Ordinal Regression by a Gravitational Model in the field of Educational Data Mining", Expert Systems, Vol. 33(2). 2016, pp. 161-175. JCR(2015): 0.947 Position: 57/105 (Q3) Category: COMPUTER SCIENCE, THEORY & METHODS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Castaño-Méndez, F. Fernandez-Navarro, A. Riccardi y C. Hervás-Martínez. "Enforcement of the principal component analysis–extreme learning machine algorithm by linear discriminant analysis", Neural Computing and Applications, Vol. 27(6). 2016, pp. 1749–1760. JCR(2016): 2.505 Position: 40/133 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, J. Sánchez-Monedero y C. Hervás-Martínez. "A study on multi-scale kernel optimisation via centered kernel-target alignment", Neural Processing Letters, Vol. 44(2). 2016, pp. 491-517. JCR(2016): 1.620 Position: 74/133 (Q3) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, A. Sianes y C. Hervás-Martínez. "From outside to hyper-globalisation: an Artificial Neural Network ordinal classifier to measure the extent of globalisation", Quality & Quantity. 2016. JCR(2016): 1.094 Position: 51/124 (Q2) Category: STATISTICS & PROBABILITY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2015 (13)

D. Urzagasti, D. Becerra-Alonso, L.M. Pérez, H.L. Mancini y D. Laroze. "Hyper-chaotic Magnetisation Dynamics of Two Interacting Dipoles", Journal of Low Temperature Physics, Vol. 181(5), December, 2015, pp. 211–222. JCR(2015): 0.787 Position: 120/145 (Q4) Category: PHYSICS, APPLIED. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, C. Hervás-Martínez y X. Yao. "Graph-Based Approaches for Over-sampling in the context of Ordinal Regression", IEEE Transactions on Knowledge and Data Engineering, Vol. 27(5), May, 2015, pp. 1233-1245. JCR(2015): 2.476 Position: 17/143 (Q1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Nikolaou, P.A. Gutiérrez, A.M. Durán-Rosal, I. Dicaire, F. Fernandez-Navarro y C. Hervás-Martínez. "Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm", Climate Dynamics, Vol. 44(7--8), April, 2015, pp. 1919-1933. JCR (2015): 4.708 Position: 8/84 (Q1) Category: METEOROLOGY & ATMOSPHERIC SCIENCES. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Tang, P. Tino, P.A. Gutiérrez y H. Chen. "The Benefits of Modelling Slack Variables in SVMs", Neural Computation, Vol. 27(4), April, 2015, pp. 954-981. JCR (2015): 1.626 Position: 57/130 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. de la Paz Marín, P.A. Gutiérrez y C. Hervás-Martínez. "Classification of countries’ progress toward a knowledge economy based on machine learning classification techniques", Expert Systems with Applications, Vol. 42(1), January, 2015, pp. 562–572. JCR(2015): 2.981 Position: 6/82 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J.A. Salinas-Pérez, M.L. Rodero-Cosano, C. García-Alonso y L. Salvador-Carulla. "Applying an Evolutionary Algorithm for the Analysis of Mental Disorders in Macro-urban Areas: The Case of Barcelona.", Spatial Economic Analysis, Vol. 10(3). 2015, pp. 270-288. JCR(2015): 0.818 Position: 177/345 (Q3) Category: ECONOMICS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Torres-Jiménez, C. García-Alonso, J. Sánchez-Monedero, S. Millán-Lara y C. Hervás-Martínez. "Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency", Progress in Artificial Intelligence, Vol. 4(3--4). 2015, pp. 59-67. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Torres-Jiménez, C. Garcia, A.L. Salvador y V. Fernández. "Evaluation of system efficiency using the Monte-Carlo DEA: The case of small health areas", European Journal of Operational Research, Vol. 242. 2015, pp. 525–535. JCR(2015): 2.679 Position: 7/83 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Fernandez-Navarro, A. Riccardi y S. Carloni. "Ordinal Regression by a Generalized Force-Based Model", IEEE Transaction on Cybernetics, Vol. 45(4). 2015, pp. 844-857. JCR(2015): 4.943 Position: 6/130 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
E. Rodero, A. González, M. Dorado-Moreno, M. Luque y C. Hervás-Martínez. "Classification of goat genetic resources using morphological traits. Comparison of machine learning techniques with linear discriminant analysis", Livestock Science. 2015. JCR(2015): 1.293 Position: 17/58 (Q2) Category: AGRICULTURE, DAIRY & ANIMAL SCIENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, J.M. Peña, P.A. Gutiérrez, J. Torres-Sánchez, C. Hervás-Martínez y F. López-Granados. "A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method", Applied Soft Computing, Vol. 37. 2015, pp. 533–544. JCR(2015): 2.857 Position: 16/104 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J.C. Fernández, S. Salcedo-Sanz, P.A. Gutiérrez, E. Alexandre y C. Hervás-Martínez. "Significant wave height and energy flux range forecast with machine learning classifiers", Engineering Applications of Artificial Intelligence, Vol. 43. 2015, pp. 44-53. JCR(2015): 2.368 Position: 32/130 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez, M. Cruz-Ramírez, J. Sánchez-Monedero y C. Hervás-Martínez. "Kernelising the Proportional Odds Model through Kernel Learning techniques", Neurocomputing, Vol. 126. 2015, pp. 23-33. JCR(2015): 2.392 Position: 31/130 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2014 (10)

P.A. Gutiérrez, P. Tino y C. Hervás-Martínez. "Ordinal regression neural networks based on concentric hyperspheres", Neural Networks, Vol. 59, November, 2014, pp. 51–60. JCR(2014): 2.708 Position: 18/123 (Q1) Category: ENGINEERING, MULTIDISCIPLINARY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, P. Campoy-Muñoz, P.A. Gutiérrez y C. Hervás-Martínez. "A guided data projection technique for classification of sovereign ratings: the case of European Union 27", Applied Soft Computing, Vol. 22, September, 2014, pp. 339-350. JCR(2014): 2.810 Position: 17/123 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, S. Salcedo-Sanz, P.A. Gutiérrez, C.C. Mateo y C. Hervás-Martínez. "Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier", Engineering Applications of Artificial Intelligence, Vol. 34, September, 2014, pp. 199-207. JCR(2014): 2.207 Position: 12/83 (Q1) Category: ENGINEERING, MULTIDISCIPLINARY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, M. de la Paz Marín, P.A. Gutiérrez y C. Hervás-Martínez. "Classification of EU countries' progress towards sustainable development based on ordinal regression techniques", Knowledge-Based Systems, Vol. 66, August, 2014, pp. 178-189. JCR(2014): 2.947 Position: 16/123 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
P. Campoy-Muñoz, P.A. Gutiérrez y C. Hervás-Martínez. "Addressing remitting behavior using an ordinal classification approach", Expert Systems With Applications, Vol. 41(10), August, 2014, pp. 4752-4761. JCR(2014): 2.240 Position: 12/81 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
C. García-Alonso, L.M. Pèrez-Naranjo y J.C. Fernández. "Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms", Annals of Operations Research, Vol. 219(1), August, 2014, pp. 187-202. JCR (2014): 1.217 Position: 38/81 (Q2) Category: OPERATIONS RESEARCH AND MANAGEMENT SCIENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
E. Corchado, A. Abraham, P.A. Gutiérrez, J.M. Benitez y S. Ventura. "Special issue: Advances in learning schemes for function approximation", Neurocomputing, Vol. 135, July, 2014, pp. 1-2. JCR(2014): 2.083 Position: 36/123 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Cruz-Ramírez, C. Hervás-Martínez, J. Sánchez-Monedero y P.A. Gutiérrez. "Metrics to guide a multi-objective evolutionary algorithm for ordinal classification", Neurocomputing, Vol. 135, July, 2014, pp. 21-31. JCR(2014): 2.083 Position: 36/123 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
L. García-Hernández, M. Pérez-Ortiz, A. Araúzo-Azofra, L. Salas-Morera y C. Hervás-Martínez. "An Evolutionary Neural System for incorporating Human Expert Knowledge into the UA-FLP", Neurocomputing, Vol. 135, July, 2014, pp. 69-78. JCR(2014): 2.083 Position: 36/124 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, P.A. Gutiérrez y C. Hervás-Martínez. "Projection based ensemble learning for ordinal regression", IEEE Transactions on Cybernetics, Vol. 44(5), May, 2014, pp. 681-694. JCR(2014): 3.469 Position: 2/24 (Q1) Category: COMPUTER SCIENCE, CYBERNETICS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

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