Year: 2023 (4)

• 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. 19th-21th June, 2023. 2023. Ponta Delgada, Portugal. Lecture Notes in Computer Science (LNCS), vol. 14135. pp. 505–-516. [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 (18)

• 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]
• 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] [Bibtex] [RIS] [MODS]
• M. Díaz-Lozano, D. Guijo-Rubio, P.A. Gutiérrez and 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. [More] [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] [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] [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] [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] [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] [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] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, V.M. Vargas, J. Barbero-Gómez, J.V. Die and 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. [More] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, D. Guijo-Rubio, V.M. Vargas, A.M. Gómez-Orellana, P.A. Gutiérrez and 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. [More] [Bibtex] [RIS] [MODS]

Year: 2021 (3)

• 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] [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] [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] [Bibtex] [RIS] [MODS]