Year: 2023 (17)

• A.M. Durán-Rosal and D. Guijo-Rubio. "Machine Learning Applications in Real-World Time Series Problems". C. Press ed. 2023. pp. 161-176. [More] [Bibtex] [RIS] [MODS]
• C. Holder, D. Guijo-Rubio and 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. pp. 51-62. [More] [Bibtex] [RIS] [MODS]
• C. Holder, D. Guijo-Rubio and A. Bagnall. "Clustering Time Series with k-Medoids Based Algorithms". Advanced Analytics and Learning on Temporal Data. 2023. pp. 39-55. [More] [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 and 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.. 2023. Transplantation. [More] [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 and 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. [More] [Bibtex] [RIS] [MODS]
• R. Ayllón-Gavilán, D. Guijo-Rubio, P.A. Gutiérrez and C. Hervás-Martínez. "A Dictionary-Based Approach to Time Series Ordinal Classification". IWANN 2023: Advances in Computational Intelligence. 2023. pp. 1-12. [More] [Bibtex] [RIS] [MODS]
• J. Barbero-Gómez, R. Cruz, J.S. Cardoso, P.A. Gutiérrez and C. Hervás-Martínez. "Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models". IWANN 2023: Advances in Computational Intelligence. 2023. pp. 1-12. [More] [Bibtex] [RIS] [MODS]
• M. Rivera-Gavilán, V.M. Vargas, P.A. Gutiérrez, J. Briceño, C. Hervás-Martínez and D. Guijo-Rubio. "Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors". IWANN 2023: Advances in Computational Intelligence. 2023. pp. 1-12. [More] [Bibtex] [RIS] [MODS]
• V.M. Vargas, R. Ayllón-Gavilán, A.M. Durán-Rosal, P.A. Gutiérrez, C. Hervás-Martínez and D. Guijo-Rubio. "Gramian Angular and Markov Transition Fields applied to Time Series Ordinal Classification". IWANN 2023: Advances in Computational Intelligence. 2023. pp. 1-12. [More] [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] [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] [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] [Bibtex] [RIS] [MODS]
• R. Calleja et al.. "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. [More] [Bibtex] [RIS] [MODS]
• A.M. Gómez-Orellana, M.L. Rodríguez-Perálvarez, D. Guijo-Rubio, M. Guerrero and 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. [More] [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] [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] [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] [Bibtex] [RIS] [MODS]

Year: 2022 (8)

• 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] [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] [Bibtex] [RIS] [MODS]
• R. Rosati, L. Romeo, V.M. Vargas, P.A. Gutiérrez, C. Hervás-Martínez, L. Bianchini, A. Capriotti, R. Capparuccia and 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. [More] [Bibtex] [RIS] [MODS]
• R. Ayllón-Gavilán, D. Guijo-Rubio, P.A. Gutiérrez and 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. [More] [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] [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] [Bibtex] [RIS] [MODS]
• M. Rodríguez-Perálvez et al.. "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. [More] [Bibtex] [RIS] [MODS]
• M. Rodríguez-Perálvarez, A.M. Gómez-Orellana, A. Majumdar, G. McCaughan, P. Gow, D. Guijo-Rubio, C. Hervás-Martínez, M. Bailey and 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. [More] [Bibtex] [RIS] [MODS]