Year: 2024 (12)


• 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 and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• J. Pérez-Aracil, D. Fister, C.M. Marina, C. Peláez-Rodríguez, L. Cornejo-Bueno, P.A. Gutiérrez, M. Giuliani, A. Castelleti and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• A.M. Gómez-Orellana, D. Guijo-Rubio, P.A. Gutiérrez, C. Hervás-Martínez and 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. 1-18. JCR (2023): 7.5, Position: 12/180 (Q1D1), Category: ENGINEERING, MULTIDISCIPLINARY.. [More] [Online version] [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 and Others. "aeon: a Python toolkit for learning from time series", Journal of Machine Learning Research. 2024. [More] [Online version] [Bibtex] [RIS] [MODS]
• V.M. Vargas, A.M. Gómez-Orellana, P.A. Gutiérrez, C. Hervás-Martínez and 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. 1-14. JCR (2023): 7.2, Position: 27/197 (Q1), Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Online version] [Bibtex] [RIS] [MODS]
• A. Morales-Martín, F.-J. Mesas-Carrascosa, P.A. Gutiérrez, F.-J. Pérez-Porras, V.M. Vargas and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, M. Middlehurst, G. Arcencio, D.F. Silva and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• F. Bérchez-Moreno, A.M. Durán-Rosal, C. Hervás-Martínez, P.A. Gutiérrez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• C. Peláez-Rodríguez, J. Pérez-Aracil, C.M. Marina, L. Prieto-Godino, C. Casanova-Mateo, P.A. Gutiérrez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• F. Bérchez-Moreno, J.C. Fernández, C. Hervás-Martínez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• A. Guersenzvaig and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• R. Rosati, L. Romeo, V.M. Vargas, P.A. Gutiérrez, E. Frontoni and 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. [More] [Online version] [Bibtex] [RIS] [MODS]

Year: 2023 (13)

• C. Perales-González, J. Pérez-Rodríguez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• V.M. Vargas, P.A. Gutiérrez, R. Rosati, L. Romeo, E. Frontoni and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• V.M. Vargas, P.A. Gutiérrez, J. Barbero-Gómez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• J. Barbero-Gómez, P.A. Gutiérrez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• M. Díaz-Lozano, D. Guijo-Rubio, P.A. Gutiérrez and 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. [More] [Online version] [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 and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• V.M. Vargas, P.A. Gutiérrez, R. Rosati, L. Romeo, E. Frontoni and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• V.M. Vargas, R. Rosati, C. Hervás-Martínez, A. Mancini, L. Romeo and 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.. [More] [Online version] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, A. Durán-Fernández, F. Fernández-Navarro and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• A.M. Gómez-Orellana, D. Guijo-Rubio, J. Pérez-Aracil, P.A. Gutiérrez, S. Salcedo-Sanz and 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.. [More] [Online version] [Bibtex] [RIS] [MODS]
• V.M. Vargas, A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, A.M. Durán-Rosal, A.M. Gómez-Orellana and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• V.M. Vargas, P.A. Gutiérrez, J. Barbero-Gómez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]

Year: 2022 (11)

• R. Calleja, C. Hervás-Martínez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, M. Carbonero-Ruz, P.A. Gutiérrez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• J. Briceño, R. Calleja and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• C. Castillo-Botón, D. Casillas-Pérez, C. Casanova-Mateo, S. Ghimire, E. Cerro-Prada, P.A. Gutiérrez, R.C. Deo and 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.. [More] [Online version] [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 and 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. [More] [Online version] [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 and 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.. [More] [Online version] [Bibtex] [RIS] [MODS]
• R. Rosati, L. Romeo, V.M. Vargas, P.A. Gutiérrez, C. Hervás-Martínez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• V.M. Vargas, P.A. Gutiérrez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• L. Dencik and J. Sánchez-Monedero. "Data justice", Internet Policy Review, Vol. 11(1), January, 2022. JCI (2022): 3.6 Position: 15/411 (Q1) Category: LAW. [More] [Online version] [Bibtex] [RIS] [MODS]
• A.M. Gómez-Orellana, D. Guijo-Rubio, P.A. Gutiérrez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, V.M. Vargas, J. Barbero-Gómez, J.V. Die and 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. [More] [Online version] [Bibtex] [RIS] [MODS]

Year: 2021 (14)

• F. Jansen, J. Sánchez-Monedero and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• J. Barbero-Gómez, P.A. Gutiérrez, V.M. Vargas, J.-A. Vallejo-Casas and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, A.M. Durán-Rosal, P.A. Gutiérrez, A. Troncoso and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, V.M. Vargas, A.M. Durán-Rosal, A.M. Gómez-Orellana, J. Barbero-Gómez, J.C. Fernández and 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. [More] [Online version] [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 and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• Á. Carmona-Poyato, N.L. Fernández-García, F.J. Madrid-Cuevas and 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. [More] [Online version] [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 and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, J. Camacho-Cañamón, P.A. Gutiérrez, M.V. Guiote-Moreno, E. Rodríguez-Cáceres, J.A. Vallejo-Casas and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• B. Amiri, A.M. Gómez-Orellana, P.A. Gutiérrez, R. Dizene, C. Hervás-Martínez and 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. [More] [Online version] [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 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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [Bibtex] [RIS] [MODS]

Year: 2020 (14)

• 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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [Bibtex] [RIS] [MODS]

Year: 2019 (11)

• 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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [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] [Online version] [Bibtex] [RIS] [MODS]

Year: 2018 (11)

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

Year: 2017 (9)

• A.M. Durán-Rosal, M. de la Paz Marín, P.A. Gutiérrez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, J.C. Fernández, P.A. Gutiérrez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, M.D. Ayllón-Terán, N. Heaton, R. Ciria, J. Briceño and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• M. Dorado-Moreno, L. Cornejo-Bueno, P.A. Gutiérrez, L. Prieto, C. Hervás-Martínez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, M. Dorado-Moreno, P.A. Gutiérrez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• M.J. Vázquez-de-Francisco, M. Torres-Jiménez, P. Caldentey-del-Pozo and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• M. Dorado-Moreno, M. Pérez-Ortiz, P.A. Gutiérrez, R. Ciria, J. Briceño and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• M. Carbonero-Ruz, F.J. Martínez-Estudillo, F. Fernandez-Navarro, D. Becerra-Alonso and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• F. Fernandez-Navarro, M. Carbonero-Ruz, D. Becerra-Alonso and 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. [More] [Online version] [Bibtex] [RIS] [MODS]

Year: 2016 (5)

• M. Pérez-Ortiz, P.A. Gutiérrez, M. Carbonero-Ruz and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, P. Tino and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, S. Jiménez-Fernández, P.A. Gutiérrez, E. Alexandre, C. Hervás-Martínez and 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. [More] [Online version] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez and S. García. "Current prospects on ordinal and monotonic classification", Progress in Artificial Intelligence, Vol. 5(3), August, 2016, pp. 171-179. [More] [Online version] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, C. Hervás-Martínez, A.J. Tallón-Ballesteros, A.C. Martínez-Estudillo and 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. [More] [Online version] [Bibtex] [RIS] [MODS]