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Año: 2024 (17)

C. Peláez-Rodríguez, J. Pérez-Aracil, A.M. Gómez-Orellana, D. Guijo-Rubio, V.M. Vargas, P.A. Gutiérrez, C. Hervás-Martínez y S. Salcedo-Sanz. "Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events", Applied Ocean Research, Vol. 153, December, 2024, pp. 104273. JCR (2023): 4.3, Position: 5/65 (Q1), Category: OCEANOGRAPHY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
I. Trinidad-Gutiérrez, M.C. Vázquez-Borrego, E. Aguilera-Fernández, J.E. Velez-Castaño, C.E. Muriel-López, L. Rodríguez-Ortíz, A.M. Gómez-Orellana, F. Bérchez-Moreno, C. Hervás-Martínez, A. Romero-Ruiz y Á. Arjona-Sánchez. "Efficacy of systemic Chemotherapy on high-risk stage II and III Mucnious colon cancer. CHEMUCCA study part I", European Journal of Surgical Oncology, Vol. 50, November, 2024. JCR (2023): 3.5, Position: 31/290 (Q1), Category: SURGERY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Pérez-Aracil, D. Fister, C.M. Marina, C. Peláez-Rodríguez, L. Cornejo-Bueno, P.A. Gutiérrez, M. Giuliani, A. Castelleti y S. Salcedo-Sanz. "Long-term temperature prediction with hybrid autoencoder algorithms", Applied Computing and Geosciences, Vol. 23, September, 2024, pp. 100185. JCR (2023): 2.6, Position: 98/253 (Q2), Category: GEOSCIENCES, MULTIDISCIPLINARY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Gómez-Orellana, D. Guijo-Rubio, P.A. Gutiérrez, C. Hervás-Martínez y V.M. Vargas. "ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target", Engineering Applications of Artificial Intelligence, Vol. 133(E), July, 2024, pp. 108462. JCR (2023): 7.5, Position: 12/180 (Q1D1), Category: ENGINEERING, MULTIDISCIPLINARY.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
R. Ayllón-Gavilán, D. Guijo-Rubio, P.A. Gutiérrez, A. Bagnall y C. Hervás-Martínez. "Convolutional and Deep Learning based techniques for Time Series Ordinal Classification", IEEE Transactions on Cybernetics, Vol. Accepted on 12th November. 2024. JCR(2023): 9.4, Position: 16/197 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Bibtex] [RIS] [MODS]
J. Barbero-Gómez, R.P. Cruz, J.S. Cardoso, P.A. Gutiérrez y C. Hervás-Martínez. "CNN Explanation Methods for Ordinal Regression Tasks", Neurocomputing, Vol. Accepted on 6th November. 2024. JCR(2023): 5.5, Position: 42/197 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Bibtex] [RIS] [MODS]
J. Pérez-Aracil, C.M. Marina, E. Zorita, D. Barriopedro, P. Zaninelli, M. Giuliani, A. Castelletti, P.A. Gutiérrez y S. Salcedo-Sanz. "Autoencoder-based flow-analogue probabilistic reconstruction of heat waves from pressure fields", Annals of the New York Academy of Sciences. 2024. JCR(2023): 4.1, Position: 24/134 (Q1) Category: MULTIDISCIPLINARY SCIENCES. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Middlehurst, A. Ismail-Fawaz, A. Guillaume, C. Holder, D. Guijo-Rubio, G. Bulatova, L. Tsaprounis, L. Mentel, M. Walter, P. Schäfer y A. Bagnall. "aeon: a Python toolkit for learning from time series", Journal of Machine Learning Research, Vol. 25(289). 2024. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, A.M. Gómez-Orellana, P.A. Gutiérrez, C. Hervás-Martínez y D. Guijo-Rubio. "EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height", Knowledge-Based Systems, Vol. 300. 2024, pp. 112223. JCR (2023): 7.2, Position: 27/197 (Q1), Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Morales-Martín, F.-J. Mesas-Carrascosa, P.A. Gutiérrez, F.-J. Pérez-Porras, V.M. Vargas y C. Hervás-Martínez. "Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds", Sensors, Vol. 24(7). 2024, pp. 1-18. JCR(2023): 3.4, Position: 24/76 (Q2) Category: INSTRUMENTS & INSTRUMENTATION. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Rodríguez-Perálvez, G. de la Rosa, A.M. Gómez-Orellana, V.A. Sancho, T. Pascual-Vicente, S. Pereira, M.L. Ortiz, G. Pagano, F. Suárez, R. González-Grande, A. Cachero, S. Tomé, M.B. Valbuena, R. Martin-Mateos, S. Pascual, M.R. Cristóbal, I. Bilbao, C.A. Martin, E. Oton, M.L. Dieguez, M.D. Aguilar, A. Arias, G. Blanco, S.L. Perez, A. Cuadrado, A.R. García, C.S. Cano, C.C. Franco, J.A. Pons, J. Colmenero, A.O. Ferreiro, N.H. Aretxabaleta, S.R. Moreno, M.R. Soler, C. Hervás-Martínez y M. Gastaca. "GEMA-Na and MELD 3.0 severity scores to address sex disparities for accessing liver transplantation: a nationwide retrospective cohort study", eClinicalMedicine, Vol. 74, Agosto, 2024, pp. 102737. JCR(2023): 9.6, Position: 15/329 (Q1) Category: MEDICINE, GENERAL & INTERNAL. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, M. Middlehurst, G. Arcencio, D.F. Silva y A. Bagnall. "Unsupervised feature based algorithms for time series extrinsic regression", Data Mining and Knowledge Discovery, Mayo, 2024, pp. 1-45. JCR (2023): 2.8, Position: 98/197 (Q2), Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Bérchez-Moreno, A.M. Durán-Rosal, C. Hervás-Martínez, P.A. Gutiérrez y J.C. Fernández. "A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks", Scientific Reports, Vol. 14, Marzo, 2024, pp. 6961. JCR (2023): 3.8, Position: 25/134 (Q1), Category: MULTIDISCIPLINARY SCIENCES. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
C. Peláez-Rodríguez, J. Pérez-Aracil, C.M. Marina, L. Prieto-Godino, C. Casanova-Mateo, P.A. Gutiérrez y S. Salcedo-Sanz. "A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic", Knowledge-Based Systems, Vol. 291, Mayo, 2024, pp. 111556. JCR(2023): 7.2 Position: 27/197 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Bérchez-Moreno, J.C. Fernández, C. Hervás-Martínez y P.A. Gutiérrez. "Fusion of standard and ordinal dropout techniques to regularise deep models", Information Fusion, Vol. 106, Febrero, 2024. JCR 2023: 14.7, Position: 2/143 (Q1), Category: COMPUTER SCIENCE, THEORY & METHODS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Guersenzvaig y J. Sánchez-Monedero. "AI research assistants, intrinsic values, and the science we want", AI & SOCIETY, Febrero, 2024. JCR 2023: 2.9, Position: 95/197 (Q2), Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
R. Rosati, L. Romeo, V.M. Vargas, P.A. Gutiérrez, E. Frontoni y C. Hervás-Martínez. "Learning Ordinal–Hierarchical Constraints for Deep Learning Classifiers", IEEE Transactions on Neural Networks and Learning Systems, Febrero, 2024, pp. 1-14. JCR(2023): 10.2, Position: 7/143 (Q1) Category: COMPUTER SCIENCE, THEORY & METHODS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2023 (13)

C. Perales-González, J. Pérez-Rodríguez y A.M. Durán-Rosal. "Boosting ridge for the extreme learning machine globally optimised for classification and regression problems", Scientific Reports, Vol. 13, July, 2023, pp. 11809. JCR(2023): 3.8 Position: 25/134 (Q1) Category: MULTIDISCIPLINARY SCIENCES. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, P.A. Gutiérrez, R. Rosati, L. Romeo, E. Frontoni y C. Hervás-Martínez. "Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment", Applied Soft Computing, Vol. 138(110191), May, 2023. JCR(2023): 7.2, Position: 15/169 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, P.A. Gutiérrez, J. Barbero-Gómez y C. Hervás-Martínez. "Soft labelling based on triangular distributions for ordinal classification", Information Fusion, Vol. 93, May, 2023, pp. 258-267. JCR(2023): 14.7 Position: 2/143 (Q1) Category: COMPUTER SCIENCE, THEORY & METHODS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Barbero-Gómez, P.A. Gutiérrez y C. Hervás-Martínez. "Error-Correcting Output Codes in the Framework of Deep Ordinal Classification", Neural Processing Letters, Vol. 55, May, 2023, pp. 5299-5330. JCR(2023): 2.6, Position: 104/197 (Q3) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Díaz-Lozano, D. Guijo-Rubio, P.A. Gutiérrez y C. Hervás-Martínez. "Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2", Expert Systems with Applications, April, 2023, pp. 120103. JCR(2023): 7.5, Position: 25/352 (Q1) Category: ENGINEERING, ELECTRICAL & ELECTRONIC. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.L. Rodríguez-Perálvarez, A.M. Gómez-Orellana, A. Majumdar, M. Bailey, G.W. McCaughan, P. Gow, M. Guerrero, R. Taylor, D. Guijo-Rubio, C. Hervás-Martínez y E.A. Tsochatzis. "Development and validation of the Gender-Equity Model for Liver Allocation (GEMA) to prioritise candidates for liver transplantation: a cohort study", The Lancet Gastroenterology & Hepatology, Vol. 8(3), March, 2023, pp. 242-252. JCR(2023): 30.9, Position: 2/143 (Q1) Category: GASTROENTEROLOGY & HEPATOLOGY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, P.A. Gutiérrez, R. Rosati, L. Romeo, E. Frontoni y C. Hervás-Martínez. "Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment", Computers in Industry, Vol. 144, January, 2023, pp. 1-13. JCR(2023): 8.2, Position: 11/169 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, R. Rosati, C. Hervás-Martínez, A. Mancini, L. Romeo y P.A. Gutiérrez. "A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data", Engineering Applications of Artificial Intelligence, Vol. 123(C). 2023, pp. 1-12. JCR(2023): 7.5, Position: 5/179 (Q1D1) Category: ENGINEERING, MULTIDISCIPLINARY.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, A. Durán-Fernández, F. Fernández-Navarro y M. Carbonero-Ruz. "A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks", Applied Soft Computing, Vol. 133. 2023, pp. 109914. JCR(2023): 7.2, Position: 27/197 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Gómez-Orellana, D. Guijo-Rubio, J. Pérez-Aracil, P.A. Gutiérrez, S. Salcedo-Sanz y C. Hervás-Martínez. "One month in advance prediction of air temperature from Reanalysis data with Explainable Artificial Intelligence techniques", Atmospheric Research, Vol. 284(106608). 2023. JCR(2023): 4.5, position: 22/110 (Q1), category: METEOROLOGY & ATMOSPHERIC SCIENCES.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez y C. Hervás-Martínez. "Generalised Triangular Distributions for ordinal deep learning: novel proposal and optimisation", Information Sciences, Vol. 648, Noviembre, 2023, pp. 119606. JCR(2022): 8.1, Position: 13/158 (Q1D1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, A.M. Durán-Rosal, A.M. Gómez-Orellana y J.C. Fernández. "An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction", Applied Soft Computing, Vol. 146, Septiembre, 2023, pp. 110647. JCR(2023): 7.2, Position: 15/169 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, 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. 34(3), Marzo, 2023, pp. 1478-1488. JCR(2023): 10.2 Position: 7/143 (Q1D1) Category: COMPUTER SCIENCE, THEORY & METHODS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2022 (11)

R. Calleja, C. Hervás-Martínez y J. Briceño. "Crossroads in Liver Transplantation: Is Artificial Intelligence the Key to Donor–Recipient Matching?", Medicina, Vol. 58(12), November, 2022, pp. 1743. JCR(2022): 2.6, Position: 87/167 (Q3) Category: MEDICINE, GENERAL & INTERNAL. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, M. Carbonero-Ruz, P.A. Gutiérrez y C. Hervás-Martínez. "A mixed distribution to fix the threshold for Peak-Over-Threshold wave height estimation", Scientific Reports, Vol. 12, October, 2022, pp. 17327. JCR(2022): 4.6 Position: 22/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Briceño, R. Calleja y C. Hervás-Martínez. "Artificial intelligence and liver transplantation: Looking for the bestdonor-recipient pairing", Hepatobiliary & Pancreatic Diseases International, Vol. 21(4), August, 2022, pp. 347-353. JCR (2022): 3.3 Position: 52/93 (Q3) Category: GASTROENTEROLOGY & HEPATOLOGY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
C. Castillo-Botón, D. Casillas-Pérez, C. Casanova-Mateo, S. Ghimire, E. Cerro-Prada, P.A. Gutiérrez, R.C. Deo y S. Salcedo-Sanz. "Machine learning regression and classification methods for fog events prediction", Atmospheric Research, Vol. 272, July, 2022, pp. 106157. JCR(2022): 5.5 Position: 18/94 (Q1) Category: METEOROLOGY & ATMOSPHERIC SCIENCES.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Díaz-Lozano, D. Guijo-Rubio, P.A. Gutiérrez, A.M. Gómez-Orellana, I. Túñez, L. Ortigosa-Moreno, A. Romanos-Rodríguez, J. Padillo-Ruiz y C. Hervás-Martínez. "COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain", Expert Systems with Applications, Vol. 207, June, 2022, pp. 117977. JCR(2022): 8.5, Position: 23/275 (Q1) Category: ENGINEERING, ELECTRICAL & ELECTRONIC. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Rodríguez-Perálvarez, J. Colmenero, A. González, M. Gastaca, A. Curell, A. Caballero-Marcos, A. Sánchez-Martínez, T.D. Maira, J.I. Herrero, C. Almohalla, S. Lorente, A. Cuadrado-Lavín, S. Pascual, M.Á. López-Garrido, R. González-Grande, A.M. Gómez-Orellana, R. Alejandre, J. Zamora-Olaya y C. Bernal-Bellido. "Cumulative exposure to tacrolimus and incidence of cancer after liver transplantation", American Journal of Transplantation, Vol. 22(6), March, 2022, pp. 1671-1682. JCR(2022): 9.369 Position: 2/24 (Q1) Category: TRANSPLANTATION.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
R. Rosati, L. Romeo, V.M. Vargas, P.A. Gutiérrez, C. Hervás-Martínez y E. Frontoni. "A novel deep ordinal classification approach for aesthetic quality control classification", Neural Computing and Applications, Vol. 34, March, 2022, pp. 11625-11639. JCR (2022): 6.0 Position: 41/145 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, 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(2022): 8.0 Position: 22/145 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
L. Dencik y J. Sánchez-Monedero. "Data justice", Internet Policy Review, Vol. 11(1), January, 2022. JCI (2022): 3.6 Position: 15/411 (Q1) Category: LAW. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Gómez-Orellana, D. Guijo-Rubio, P.A. Gutiérrez y C. Hervás-Martínez. "Simultaneous short-term significant wave height and energy flux prediction using zonal multi-task evolutionary artificial neural networks", Renewable Energy, Vol. 184, January, 2022, pp. 975989. JCR(2022): 8.7 Position: 26/115 (Q1) Category: ENERGY & FUELS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, V.M. Vargas, J. Barbero-Gómez, J.V. Die y P.G. Moreno. "Hackathon en docencia: aprendizaje automático aplicado a Ciencias de la Vida", Revista de Innovación y Buenas Prácticas Docentes, Vol. 11(2). 2022, pp. 1-19. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2021 (14)

F. Jansen, J. Sánchez-Monedero y L. Dencik. "Biometric identity systems in law enforcement and the politics of (voice) recognition: The case of SiiP", Big Data \& Society, Vol. 8(2), December, 2021, pp. 20539517211063604. JCR (2021): 8.731 Position: 1/111 (Q1) Category: SOCIAL SCIENCES, INTERDISCIPLINARY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Barbero-Gómez, P.A. Gutiérrez, V.M. Vargas, 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(2021): 8.665 Position: 21/144 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [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, Vol. 51(11), November, 2021, pp. 5409-5422. JCR(2021): 19.118 Position: 3/144 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, V.M. Vargas, A.M. Durán-Rosal, A.M. Gómez-Orellana, J. Barbero-Gómez, J.C. Fernández y P.A. Gutiérrez. "Potenciando el perfil profesional Científico de Datos mediante dinámicas de competición", Revista de Innovación y Buenas Prácticas Docentes, Vol. 10(2), Oct, 2021, pp. 101-106. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Casado-Adam, L. Rodriguez-Ortiz, S. Rufian-Peña, C. Muñoz-Casares, T. Caro-Cuenca, R. Ortega-Salas, M.A. Fernandez-Peralbo, M.D. Luque-de-Castro, J.M. Sanchez-Hidalgo, C. Hervás-Martínez, A. Romero-Ruiz, J. Briceño y Á. Arjona-Sánchez. "The Role of Intraperitoneal Intraoperative Chemotherapy with Paclitaxel in the Surgical Treatment of Peritoneal Carcinomatosis from Ovarian Cancer—Hyperthermia versus Normothermia: A Randomized Controlled Trial", Journal of Clinical Medicine, Vol. 11, September, 2021, pp. 1-14. JCR(2021): 4.964, Position: 54/172 (Q2) Category: MEDICINE, GENERAL & INTERNAL. [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(2021): 8.518 Position: 22/144 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [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), June, 2021, pp. e0252148. JCR(2021): 3.752 Position: 29/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES. [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", Scientific Reports, Vol. 11, March, 2021, pp. 7067. JCR(2021): 4.996 Position: 19/73 (Q2) 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(2021): 11.072 Position: 24/279 (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 (2021): 17.694 Position: 6/73 (Q1) Category: MULTIDISCIPLINARY SCIENCES. [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), January, 2021, pp. 468. JCR(2021): 3.252 Position: 80/119 (Q3) Category: ENERGY & FUELS. [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(2021): 5.054 Position: 12/148 (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(2021): 8.993 Position: 20/144 (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(2021): 3.752 Position: 29/73 (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, 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, 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]

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