Year: 2024 (8)

• 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 (2022): 8.0, Position: 25/145 (Q1D1), Category: ENGINEERING, MULTIDISCIPLINARY.. [More] [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, May, 2024, pp. 111556. JCR(2022): 8.8 Position: 19/145 (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(2022): 3.9, Position: 19/63 (Q1) Category: INSTRUMENTS & INSTRUMENTATION. [More] [Bibtex] [RIS] [MODS]
• M.L. Perálvarez et al.. "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. 2024. [More] [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 (2022): 4.6, Position: 22/73 (Q2), Category: MULTIDISCIPLINARY SCIENCES. [More] [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 2022: 18.6, Position: 2/111 (Q1), Category: COMPUTER SCIENCE, THEORY & METHODS. [More] [Bibtex] [RIS] [MODS]
• A. Guersenzvaig and J. Sánchez-Monedero. "AI research assistants, intrinsic values, and the science we want", AI & SOCIETY, Febrero, 2024. JCR 2022: 3.0, Position: 126/192 (Q3), Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [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(2022): 10.4, Position: 14/145 (Q1) Category: COMPUTER SCIENCE, THEORY & METHODS. [More] [Bibtex] [RIS] [MODS]

Year: 2023 (17)

• 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(2022): 4.6 Position: 22/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES. [More] [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(2022): 8.7, Position: 12/110 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS. [More] [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(2022): 18.6 Position: 2/111 (Q1) Category: COMPUTER SCIENCE, THEORY & METHODS. [More] [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(2022): 3.1, Position: 85/145 (Q3) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [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(2022): 8.5, Position: 23/275 (Q1) Category: ENGINEERING, ELECTRICAL & ELECTRONIC. [More] [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(2022): 35.7, Position: 2/93 (Q1) Category: GASTROENTEROLOGY & HEPATOLOGY. [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), March, 2023, pp. 1478-1488. JCR(2022): 10.4 Position: 6/111 (Q1D1) Category: COMPUTER SCIENCE, THEORY & METHODS. [More] [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(2022): 10.0, Position: 8/110 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS. [More] [Bibtex] [RIS] [MODS]
• 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]