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Año: 2025 (1)

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. 615. 2025, pp. 128878. JCR(2023): 5.5, Position: 42/197 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2024 (30)

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]
A.M. Gómez-Orellana, M. Rodríguez-Perálvarez, D. Guijo-Rubio, P.A. Gutiérrez, A. Majumdar, G.W. McCaughan, R. Taylor, E. Tsochatzis y C. Hervás-Martínez. "Gender-Equity Model for Liver Allocation using Artificial Intelligence (GEMA-AI) for waiting list liver transplant prioritization", Clinical Gastroenterology and Hepatology, Vol. Conditionally Accepted. 2024. JCR (2023): 11.6, Position: 9/143 (Q1), Category: GASTROENTEROLOGY & HEPATOLOGY. [Más] [Bibtex] [RIS] [MODS]
R. Calleja-Lozano, M. Rivera-Gavilán, D. Guijo-Rubio, A.J. Hessheimer, G. D. la Rosa, M. Gastaca, A. Otero, P. Ramirez, A. Boscà-Robledo, J. Santoyo-Santoyo, L.M. Marín-Gómez, J. Del Villar Moral, Y. Fundora, L. Lladó, C. Loinaz, M.C. Jiménez-Garrido, G. Rodríguez-Laíz, J.A. López-Baena, R. Charco, E. Varo, F. Rotellar, A. Alonso, J.C. Rodríguez-Sanjuan, G. Blanco, J. Nuño, D. Pacheco, E. Coll, B. Domínguez-Gil, C. Fontdevila, M.D. Ayllón, M. Durán, R. Ciria, P.A. Gutiérrez, A.M. Gómez-Orellana, C. Hervás-Martínez y J. Briceño. "Machine learning algorithms in controlled donation after circulatory death under normothermic regional perfusion: A graft survival prediction model", Transplantation, Vol. Accepted. 2024. JCR (2023): 5.5, Position: 14/192 (Q1), Category: SURGERY. [Más] [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. 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]
A. Bagnall, M. Middlehurst, G. Forestier, A. Ismail-Fawaz, A. Guillaume, D. Guijo-Rubio, C.W. Tan, A. Dempster y G.I. Webb. "A Hands-on Introduction to Time Series Classification and Regression". Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2024. pp. 6410-6411. [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. "Validation of the Gender-Equity Model for liver Allocation (GEMA) in Spain: a nationwide cohort study". ILTS Annual Congress 2024. Septiembre. 2024. pp. 1-309. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Rodríguez-Perálvarez, A.M. Gómez-Orellana, D. Guijo-Rubio, P.A. Gutiérrez, A. Majumdar, G. McCaughan, R. Taylor, E.A. Tsochatzis y C. Hervás-Martínez. "Explainable artificial neural networks improve the performance of the Gender-Equity Model for liver Allocation (GEMA) to prioritize candidates for liver transplantation". ILTS Annual Congress 2024. Septiembre. 2024. pp. 1-309. [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]
J. Pérez-Aracil, C.M. Marina, P.A. Gutiérrez, D. Barriopedro, R. García-Herrera, M. Giuliani, R. McAdam, E. Scoccimarro, E. Zorita, A. Castelletti y S. Salcedo-Sanz. "Autoencoder-based model for improving reconstruction of heat waves using the analogue method". Abstracts of the EGU General Assembly 2024. 14th-19th April. 2024. Viena, Austria. pp. EGU24-12600. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
C.M. Marina, E. Lorente-Ramos, R. Ayllón-Gavilán, P.A. Gutiérrez, J. Pérez-Aracil y S. Salcedo-Sanz. "Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction". Advances in Artificial Intelligence. Junio. 2024. CAEPIA. pp. 223–232. [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. "TOP-002 Validation of the gender-equity model for liver allocation (GEMA) in a nationwide cohort of liver transplant candidates in Spain". Journal of Hepatology. Junio. 2024. pp. S365-S366. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Rodríguez-Perálvez, A.M. Gómez-Orellana, D. Guijo-Rubio, P.A. Gutiérrez, A. Majumdar, G. McCaughan, R. Taylor, C. Hervás-Martínez y E. Tsochatzis. "OS-024 The gender-equity model for liver allocation built on artificial intelligence (GEMA-AI) improves outcome predictions among liver transplant candidates". Journal of Hepatology. Junio. 2024. pp. S23. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Gómez-Orellana, V.M. Vargas, P.A. Gutiérrez, J. Pérez-Aracil, S. Salcedo-Sanz, C. Hervás-Martínez y D. Guijo-Rubio. "Energy Flux Prediction Using an Ordinal Soft Labelling Strategy". Bioinspired Systems for Translational Applications: From Robotics to Social Engineering. Mayo. 2024. IWINAC. pp. 283–292. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Gómez-Orellana, V.M. Vargas, D. Guijo-Rubio, J. Pérez-Aracil, P.A. Gutiérrez, S. Salcedo-Sanz y C. Hervás-Martínez. "Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm". Bioinspired Systems for Translational Applications: From Robotics to Social Engineering. Mayo. 2024. IWINAC. pp. 293–302. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Vega-Bayo, A.M. Gómez-Orellana, V.M. Vargas, D. Guijo-Rubio, L. Cornejo-Bueno, J. Pérez-Aracil y S. Salcedo-Sanz. "Data Augmentation Techniques for Extreme Wind Prediction Improvement". Bioinspired Systems for Translational Applications: From Robotics to Social Engineering. Mayo. 2024. IWINAC. pp. 303–313. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
R. Ayllón-Gavilán, D. Guijo-Rubio, P.A. Gutiérrez y C. Hervás-Martínez. "O-Hydra: A Hybrid Convolutional and Dictionary-Based Approach to Time Series Ordinal Classification". Advances in Artificial Intelligence. Junio. 2024. CAEPIA. pp. 50–60. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, A.M. Gómez-Orellana, D. Guijo-Rubio, F. Bérchez-Moreno, P.A. Gutiérrez y C. Hervás-Martínez. "Age Estimation Using Soft Labelling Ordinal Classification Approaches". Advances in Artificial Intelligence. Junio. 2024. CAEPIA. pp. 40-49. [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 (25)

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]
A.M. Durán-Rosal y D. Guijo-Rubio. "Machine Learning Applications in Real-World Time Series Problems". C. Press ed. 2023. pp. 161-176. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
C. Holder, D. Guijo-Rubio y A. Bagnall. "Barycentre Averaging for the Move-Split-Merge Time Series Distance Measure". 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. 2023. Rome, Italy. pp. 51-62. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.L. Perálvarez, A.M. Gómez-Orellana, A. Majumdar, M.D. Ayllón, P.A. Gutiérrez, P.B. Baena, D. Guijo-Rubio, C. Hervás-Martínez, M. de la Mata y E. Tsochatzis. "UTILIDAD DEL GENDER-EQUITY MODEL FOR LIVER ALLOCATION (GEMA) EN UN CONTEXTO DE ACORTAMIENTO DE LA LISTA DE ESPERA DE TRASPLANTE HEPÁTICO". 49.º Congreso Anual de la Asociación Española para el Estudio del Hígado. 2023. [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]
R. Calleja, M. Rivera, A.J. Hessheimer, B. Domínguez-Gil, D. Guijo-Rubio, C. Fontdevila, M. Gastaca-Mateo, M. Cómez, P. Ramírez-Romero, R. López-Andujar, L. Atutxa, J. Santoyo, M.A. Gómez-Bravo, J.M. Villar-del-Moral, C. González-Abos, B. Vidal, L. Lladó, J. Roldán, C. Jiménez-Romero, V. Sánchez-Turrión, G. Rodríguez-Laiz, J.A. Baena, R. Charco-Torra, E. Varo, F. Rotellar, M. Barrera, J.C. Rodríguez, G. Blanco-Fernández, J. Nuño, D.P. Sánchez, E. Coll, G. de la Rosa, C. Hervás-Martínez y J. Briceño. "Emparejamiento donante-receptor durante la donación en asistolia controlada con perfusión regional normotérmica: papel de los clasificadores de machine learning como modelos predictivos de la supervivencia del injerto". 29o Congreso de la Sociedad Española de Trasplante Hepático (SETH). Noviembre. 2023. pp. 9. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Gómez-Orellana, M.L. Rodríguez-Perálvarez, D. Guijo-Rubio, M. Guerrero y C. Hervás-Martínez. "Corrección de la disparidad de género en el acceso al trasplante hepático". Ciencia Violeta. I Encuentro Científico sobre Investigación con Perspectiva de Género. Febrero. 2023. pp. 1-5. [Más] [Bibtex] [RIS] [MODS]
M.L. Perálvarez, G. de la Rosa, A.M. Gómez-Orellana, M.V. Aguilera, T.P. Vicente, S. Pereira, M.L. Ortiz, G. Pagano, F. Suarez, R.G. Grande, A. Cachero, S. Tomé, M. Barreales, R.M. Mateos, S. Pascual, M. Romero, I. Bilbao, C.A. Martín, E. Otón, L.G. Diéguez, M.D. Espinosa, A.A. Milla, G.B. Fernández, S. Lorente, A.C. Lavín, A.R. García, C.S. Cano, C. Cepeda, J.A. Pons, J. Colmenero, A. Otero, N.H. Aretxabaleta, S.R. Moreno, M.R. Soler, C. Hervás-Martínez y M. Gastaca. "UTILIDAD DEL GENDER-EQUITY MODEL FOR LIVER ALLOCATION (GEMA) EN UN CONTEXTO DE ACORTAMIENTO DE LA LISTA DE ESPERA DE TRASPLANTE HEPÁTICO". 48.º Congreso Anual de la Asociación Española para el Estudio del Hígado. Marzo. 2023. Asociación Española para el Estudio del Hígado. pp. 128-129. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
C. Holder, D. Guijo-Rubio y A. Bagnall. "Clustering Time Series with k-Medoids Based Algorithms". Advanced Analytics and Learning on Temporal Data. Diciembre. 2023. AALTD. pp. 39-55. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Rodríguez-Perálvarez, A.M. Gómez-Orellana, A. Majumdar, M. Bailey, G. McCaughan, P. Gow, M. Guerrero, R. Taylor, D. Guijo-Rubio, C. Hervás-Martínez y E. Tsochatzis. "Performance of the gender-equity model for liver allocation (GEMA-Na) within the first 30 and 60 days of listing". ILTS 2023 Joint International Congress of ILTS, ELITA and LICAGE, May 3-6, 2023.. Septiembre. 2023. Transplantation. pp. 195. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
R. Ayllón-Gavilán, D. Guijo-Rubio, P.A. Gutiérrez y C. Hervás-Martínez. "A Dictionary-Based Approach to Time Series Ordinal Classification". IWANN 2023: Advances in Computational Intelligence. 19th-21th June, 2023. 2023. Ponta Delgada, Portugal. Lecture Notes in Computer Science (LNCS), vol. 14135. pp. 541-552. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Barbero-Gómez, R. Cruz, J.S. Cardoso, P.A. Gutiérrez y C. Hervás-Martínez. "Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models". IWANN 2023: Advances in Computational Intelligence. 19th-21th June, 2023. 2023. Ponta Delgada, Portugal. Lecture Notes in Computer Science (LNCS), vol. 14135. pp. 529-540. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Rivera-Gavilán, V.M. Vargas, P.A. Gutiérrez, J. Briceño, C. Hervás-Martínez y D. Guijo-Rubio. "Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors". IWANN 2023: Advances in Computational Intelligence. 19th-21th June, 2023. 2023. Ponta Delgada, Portugal. Lecture Notes in Computer Science (LNCS), vol. 14135. pp. 517–528. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, R. Ayllón-Gavilán, A.M. Durán-Rosal, P.A. Gutiérrez, C. Hervás-Martínez y D. Guijo-Rubio. "Gramian Angular and Markov Transition Fields applied to Time Series Ordinal Classification". IWANN 2023: Advances in Computational Intelligence. 19th-21th June, 2023. 2023. Ponta Delgada, Portugal. Lecture Notes in Computer Science (LNCS), vol. 14135. pp. 505–-516. [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 (18)

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]
R. Rosati, L. Romeo, V.M. Vargas, P.A. Gutiérrez, C. Hervás-Martínez, L. Bianchini, A. Capriotti, R. Capparuccia y E. Frontoni. "Predictive Maintenance of ATM machines by modelling Remaining Useful Life with Machine Learning techniques". Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022). September. 2022. Salamanca, Spain. Lecture Notes in Networks and Systems, vol. 531. pp. 239-249. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
R. Ayllón-Gavilán, D. Guijo-Rubio, P.A. Gutiérrez y C. Hervás-Martínez. "Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data using Time Series Classification". Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022). September. 2022. Salamanca, Spain. Lecture Notes in Networks and Systems, vol. 531. pp. 146-155. [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. Rodríguez-Perálvez, G. Crespo, J. Rivera, A.G. Rodríguez, E.B. Garrido, M. Gastaca, P. Ruiz, A. Curell, C. Dopazo, A. Fernández-Yunquera, F. Diaz, A.S. Martínez, M.L. Ortiz, M. Berenguer, T.D. Maira, J.I. Herrero, M. Iñarrairaegui, C. Almohalla, E.F. Valenzuela, S.L. Perez, C. Borao, F. Casafont, E. Fabrega, S. Pascual, P. Más-Serrano, M.A. Garrido, F.N. López, R. González-Grande, J. Zamora, R. Alejandre, A.M. Gómez-Orellana, C. Bernal y M.Á. Bravo. "Cumulative exposure to tacrolimus and incidence of cancer after liver transplantation". Abstracts of The International Liver CongressTM 2022. J. of Hepatology ed. June. 2022. London, United Kingdom. pp. 114. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Rodríguez-Perálvarez, A.M. Gómez-Orellana, A. Majumdar, G. McCaughan, P. Gow, D. Guijo-Rubio, C. Hervás-Martínez, M. Bailey y E. Tsochatzis. "Development and validation of the gender-equity model for liver allocation (GEMA) to prioritize liver transplant candidates". Abstracts of The International Liver CongressTM 2022. J. of Hepatology ed. June. 2022. London, United Kingdom. pp. 3-4. [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. Díaz-Lozano, D. Guijo-Rubio, P.A. Gutiérrez y C. Hervás-Martínez. "Clustering of COVID-19 Time Series Incidence Intensity in Andalusia, Spain". Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence (Proceedings of the 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022). May. 2022. Tenerife, Spain. Lecture Notes in Computer Science (LNCS), vol. 13259. pp. 462-471. [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]
D. Guijo-Rubio, V.M. Vargas, J. Barbero-Gómez, J.V. Die y P. González-Moreno. "Hackathon in teaching: applying machine learning to Life Sciences tasks". Proceedings of the 13th International Conference on European Transnational Education (ICEUTE 2022). 5th - 7th September. 2022. Lecture Notes in Networks and Systems, vol. 532. pp. 236-246. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, D. Guijo-Rubio, V.M. Vargas, A.M. Gómez-Orellana, P.A. Gutiérrez y J.C. Fernández. "Gamifying the classroom for the acquisition of skills associated with Machine Learning: a two-year case study". Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022), 13th International Conference on EUropean Transnational Education (ICEUTE 2022). 5th - 7th September. 2022. Universidad de Salamanca (Salamanca, España). Lecture Notes in Networks and Systems, vol. 532. pp. 224-235. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2021 (20)

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]
D. Guijo-Rubio. "Clustering, prediction and ordinal classification of time series using machine learning techniques: applications". P.A. Gutiérrez, C. Hervás-Martínez. 2021. [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]
B. Amiri, A.M. Gómez-Orellana, P.A. Gutiérrez, K. Dahmani y R. Dizène. "Multilayer Perceptron and Cascade Forward Neural Network for Short-term Tilted Irradiation Estimation in Algerian Sahara". The First International Conference on Renewable Energy Advanced Technologies and Applications (ICREATA'21). 25th-27th October. 2021. Research Unit for Renewable Energies in Saharan Region, Adrar. pp. 116-117. [Más] [Bibtex] [RIS] [MODS]
J. Barbero-Gómez, P.A. Gutiérrez y C. Hervás-Martínez. "Error-correcting output codes in the framework of deep ordinal classification". 2021 International Work-conference on Artificial Neural Networks (IWANN 2021). 16nd-18th June. 2021. Online. Lecture Notes in Computer Science (LNCS), vol. 12862. pp. 3-13. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, V.M. Vargas, P.A. Gutiérrez y C. Hervás-Martínez. "Studying the effect of different Lp norms in the context of Time Series Ordinal Classification". Proceedings of the XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA). 22nd-24th September. 2021. Malaga, Spain. Lecture Notes in Artificial Intelligence (LNAI), vol. 12882. pp. 44-53. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
V.M. Vargas, D. Guijo-Rubio, P.A. Gutiérrez y C. Hervás-Martínez. "ReLU-based activations: analysis and experimental study for deep learning". Proceedings of the XIX Conference of the Spanish Association for Artificial Intelligence (CAEPIA). 22nd-24th September. 2021. Malaga, Spain. Lecture Notes in Artificial Intelligence (LNAI), vol. 12882. pp. 33-43. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F.J. Rodriguez-Lozano, D. Guijo-Rubio, P.A. Gutiérrez, J.M. Soto-Hidalgo y J.C. Gámez-Granados. "Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library". Proceedings of the IEEE International Conference on Fuzzy Systems (Fuzz-IEEE2021). IEEE ed. 11th-14th July. 2021. Luxembourg, Luxembourg. [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 (6)

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]

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