Year: 2025 (1)
-
- J. Barbero-Gómez, R.P. Cruz, J.S. Cardoso, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
Year: 2024 (24)
- C. Peláez-Rodríguez, J. Pérez-Aracil, A.M. Gómez-Orellana, D. Guijo-Rubio, V.M. Vargas, P.A. Gutiérrez, C. Hervás-Martínez and 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. [More] [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 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] [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] [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. 108462. JCR (2023): 7.5, Position: 12/180 (Q1D1), Category: ENGINEERING, MULTIDISCIPLINARY.. [More] [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 and 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. [More] [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 and 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. [More] [Bibtex] [RIS] [MODS]
- R. Ayllón-Gavilán, D. Guijo-Rubio, P.A. Gutiérrez, A. Bagnall and 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. [More] [Bibtex] [RIS] [MODS]
- J. Pérez-Aracil, C.M. Marina, E. Zorita, D. Barriopedro, P. Zaninelli, M. Giuliani, A. Castelletti, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
- A. Bagnall, M. Middlehurst, G. Forestier, A. Ismail-Fawaz, A. Guillaume, D. Guijo-Rubio, C.W. Tan, A. Dempster and 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. [More] [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 A. Bagnall. "aeon: a Python toolkit for learning from time series", Journal of Machine Learning Research, Vol. 25(289). 2024. [More] [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. 112223. JCR (2023): 7.2, Position: 27/197 (Q1), Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [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] [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 and 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. [More] [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 and 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. [More] [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 and 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. [More] [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 and 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. [More] [Bibtex] [RIS] [MODS]
- C.M. Marina, E. Lorente-Ramos, R. Ayllón-Gavilán, P.A. Gutiérrez, J. Pérez-Aracil and S. Salcedo-Sanz. "Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction". Advances in Artificial Intelligence. Junio. 2024. CAEPIA. pp. 223–232. [More] [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 and 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. [More] [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 and 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. [More] [Bibtex] [RIS] [MODS]
- A.M. Gómez-Orellana, V.M. Vargas, P.A. Gutiérrez, J. Pérez-Aracil, S. Salcedo-Sanz, C. Hervás-Martínez and 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. [More] [Bibtex] [RIS] [MODS]
- A.M. Gómez-Orellana, V.M. Vargas, D. Guijo-Rubio, J. Pérez-Aracil, P.A. Gutiérrez, S. Salcedo-Sanz and 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. [More] [Bibtex] [RIS] [MODS]
- M. Vega-Bayo, A.M. Gómez-Orellana, V.M. Vargas, D. Guijo-Rubio, L. Cornejo-Bueno, J. Pérez-Aracil and 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. [More] [Bibtex] [RIS] [MODS]
- R. Ayllón-Gavilán, D. Guijo-Rubio, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]
- V.M. Vargas, A.M. Gómez-Orellana, D. Guijo-Rubio, F. Bérchez-Moreno, P.A. Gutiérrez and C. Hervás-Martínez. "Age Estimation Using Soft Labelling Ordinal Classification Approaches". Advances in Artificial Intelligence. Junio. 2024. CAEPIA. pp. 40-49. [More] [Bibtex] [RIS] [MODS]