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Año: 2024 (7)

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, May, 2024, pp. 111556. JCR(2022): 8.8 Position: 19/145 (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(2022): 3.9, Position: 19/63 (Q1) Category: INSTRUMENTS & INSTRUMENTATION. [Más] [Versión en línea] [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. [Más] [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 (2022): 4.6, Position: 22/73 (Q2), Category: MULTIDISCIPLINARY SCIENCES. [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 2022: 18.6, Position: 2/111 (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 2022: 3.0, Position: 126/192 (Q3), 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(2022): 10.4, Position: 14/145 (Q1) Category: COMPUTER SCIENCE, THEORY & METHODS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2023 (24)

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(2022): 4.6 Position: 22/73 (Q2) 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(2022): 8.7, Position: 12/110 (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(2022): 18.6 Position: 2/111 (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(2022): 3.1, Position: 85/145 (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(2022): 8.5, Position: 23/275 (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(2022): 35.7, Position: 2/93 (Q1) Category: GASTROENTEROLOGY & HEPATOLOGY. [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), March, 2023, pp. 1478-1488. JCR(2022): 10.4 Position: 6/111 (Q1D1) Category: COMPUTER SCIENCE, THEORY & METHODS. [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(2022): 10.0, Position: 8/110 (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. pp. 51-62. [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. 2023. 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.. 2023. Transplantation. [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]
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. 2023. pp. 1-12. [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. 2023. pp. 1-12. [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. 2023. pp. 1-12. [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. 2023. pp. 1-12. [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(2022): 8.0, Position: 5/90 (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(2022): 8.7, Position: 21/145 (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(2022): 5.5, position: 18/94 (Q1), category: METEOROLOGY & ATMOSPHERIC SCIENCES.. [Más] [Versión en línea] [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. [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]
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(2022): 8.7, Position: 12/110 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS. [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 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. [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 (17)

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]
C. Castillo-Botón, D. Casillas-Pérez, C. Casanova-Mateo, L.M. Moreno-Saavedra, B. Morales-Díaz, J. Sanz-Justo, P.A. Gutiérrez y S. Salcedo-Sanz. "Analysis and Prediction of Dammed Water Level in a Hydropower Reservoir Using Machine Learning and Persistence-Based Techniques", Water, Vol. 12(6), May, 2020, pp. 1528. JCR(2020): 3.103 Position: 39/98 (Q2) Category: WATER RESOURCES -- SCIE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Martín, V.M. Vargas, P.A. Gutiérrez, D. Camacho y C. Hervás-Martínez. "Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm", Applied Soft Computing, Vol. 90, May, 2020, pp. 106144. JCR(2020): 6.725 Position: 11/112 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, C. Casanova-Mateo, J. Sanz-Justo, P.A. Gutiérrez, S. Cornejo-Bueno, C. Hervás-Martínez y S. Salcedo-Sanz. "Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport", Atmospheric Research, Vol. 236, May, 2020, pp. 104798. JCR(2020): 5.369 Position: 16/94 (Q1) Category: METEOROLOGY & ATMOSPHERIC SCIENCES. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F.J. Jiménez-Romero, D. Guijo-Rubio, F.R. Lara-Raya, A. Ruiz-González y C. Hervás-Martínez. "Validation of artificial neural networks to model the acoustic behaviour of induction motors", Applied Acoustics, Vol. 166, March, 2020, pp. 107332. JCR(2020): 2.639 Position: 11/32 (Q2) Category: ACOUSTICS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, N. Navarin, P.A. Gutiérrez, L. Prieto, A. Sperduti, S. Salcedo-Sanz y C. Hervás-Martínez. "Multi-task learning for the prediction of wind power ramp events with deep neural networks", Neural Networks, Vol. 123, March, 2020, pp. 401-411. JCR(2020): 8.050 Position: 25/273 (Q1) Category: NEUROSCIENCES. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, P.A. Gutiérrez, C. Casanova-Mateo, J.C. Fernández, A.M. Gómez-Orellana, P. Salvador-González, S. Salcedo-Sanz y C. Hervás-Martínez. "Prediction of convective clouds formation using evolutionary neural computation techniques", Neural Computing and Applications, Vol. 32, February, 2020, pp. 13917-13929. JCR(2020): 5.606 Position: 31/140 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Rivero-Juárez, D. Guijo-Rubio, F. Téllez, R. Palacios, D. Merino, J. Macías, J.C. Fernández, P.A. Gutiérrez, A. Rivero y C. Hervás-Martínez. "Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals", PLoS One, Vol. 15(1). 2020, pp. e0227188. JCR(2020): 3.240 Position: 26/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, A.M. Gómez-Orellana, P.A. Gutiérrez y C. Hervás-Martínez. "Short- and long-term energy flux prediction using Multi-Task Evolutionary Artificial Neural Networks", Ocean Engineering, Vol. 216, 108089, 2020. JCR(2020): 3.795 Position: 1/16 (Q1) Category: MARINE ENGINEERING. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A. Martín, R. Lara-Cabrera, V.M. Vargas, P.A. Gutiérrez, C. Hervás-Martínez y D. Camacho. "Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks". Proceedings of the 2020 IEEE Congress on Evolutionary Computation (CEC2020). 19th-24th July. 2020. Glasgow, UK. pp. 1-8. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, P.A. Gutiérrez, A. Bagnall y C. Hervás-Martínez. "Ordinal versus nominal time series classification". Proceedings of the 5th Workshop on Advances Analytics and Learning on Temporal Data. Springer ed. 18th September. 2020. Ghent, Belgium. Lecture Notes in Artificial Intelligence (LNAI), vol. 12588. pp. 19-29. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, P.A. Gutiérrez, A. Bagnall y C. Hervás-Martínez. "Time series ordinal classification via shapelets". Proceedings of the 2020 IEEE International Joint Conference on Neural Networks (IJCNN2020). 19th-24th July. 2020. Glasgow, UK. pp. 1-8. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]

Año: 2019 (14)

C. Perales-González, M. Carbonero-Ruz, D. Becerra-Alonso, J. Pérez-Rodríguez y F. Fernandez-Navarro. "Regularized ensemble neural networks models in the Extreme Learning Machine framework", Neurocomputing, Vol. 361, October, 2019, pp. 196-211. JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M.C. Heredia-Gómez, S. García, P.A. Gutiérrez y F. Herrera. "OCAPIS: R package for Ordinal Classification and Preprocessing in Scala", Progress in Artificial Intelligence, Vol. 8(3), September, 2019, pp. 287-292. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez, Á. Carmona-Poyato y C. Hervás-Martínez. "A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation", Neurocomputing, Vol. 353, August, 2019, pp. 45-55. JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal, P.A. Gutiérrez, S. Salcedo-Sanz y C. Hervás-Martínez. "Dynamical Memetization in Coral Reef Optimization Algorithms for Optimal Time Series Approximation", Progress in Artificial Intelligence, Vol. 8(2), June, 2019, pp. 253-262. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
A.M. Durán-Rosal. "Time series data mining: preprocessing, analysis, segmentation and prediction. Applications". C. Hervás-Martínez, P. A. Gutiérrez. 2019. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J.-R. Cano, P.A. Gutiérrez, B. Krawczyk, M. Wozniak y S. García. "Monotonic classification: An overview on algorithms, performance measures and data sets", Neurocomputing, Vol. 341, May, 2019, pp. 168-182. JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Valverde-Moreno, M. Torres-Jiménez, A.M. Lucia-Casademunt y Y. Muñoz-Ocaña. "Cross cultural analysis of direct employee participation: dealing with gender and cultural values", Frontiers in Psychology, Vol. 10(723), April, 2019, pp. 1-13. JCR(2019): 2.067 Position: 45/138 (Q2) Category: PSYCHOLOGY, MULTIDISCIPLINARY. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
D. Guijo-Rubio, P.A. Gutiérrez y C. Hervás-Martínez. "Predicción de altura de ola mediante discretización basada en distribuciones utilizando clasificación ordinal". U. Press ed. 2019. pp. 641-644. [Más] [Bibtex] [RIS] [MODS]
M. Pérez-Ortiz, A.M. Durán-Rosal, P.A. Gutiérrez, J. Sánchez-Monedero, A. Nikolaou, F. Fernandez-Navarro y C. Hervás-Martínez. "On the use of evolutionary time series analysis for segmenting paleoclimate data", Neurocomputing, Vol. 326-327, January, 2019, pp. 3-14. JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J. Sánchez-Monedero, P.A. Gutiérrez y M. Pérez-Ortiz. "ORCA: A Matlab/Octave Toolbox for Ordinal Regression", Journal of Machine Learning Research, Vol. 20(125). 2019, pp. 1-5. JCR(2019): 3.484 Position: 40/136 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
F. Comino, D. Guijo-Rubio, M. R. de Adana y C. Hervás-Martínez. "Validation of multitask artificial neural networks to model desiccant wheels activated at low temperature", International Journal of Refrigeration, Vol. 100. 2019, pp. 434-442. JCR(2019): 3.461 Position: 11/61 (Q1) Category: THERMODYNAMICS. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
J.C. Fernández, M. Carbonero-Ruz, P.A. Gutiérrez y C. Hervás-Martínez. "Multi-objective evolutionary optimization using the relationship between F1 and accuracy metrics in classification tasks", Applied Intelligence, Vol. 49(9). 2019, pp. 3447-3463. JCR(2019): 3.325 Position: 42/136 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
S. Jiménez-Fernández, C. Camacho-Gómez, R. Mallol-Poyato, J.C. Fernández, J.D. Ser, A. Portilla-Figueras y S. Salcedo-Sanz. "Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm", Sustainability, Vol. 11(1). 2019, pp. 169. JCR(2019): 2.576 Position: 120/265 (Q2) Category: ENVIRONMENTAL SCIENCES. [Más] [Versión en línea] [Bibtex] [RIS] [MODS]
M. Dorado-Moreno, P.A. Gutiérrez y C. Hervás-Martínez. "Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida". VII Congreso Científico de Investigadores en Formación. 6th-7th Febreaury. 2019. Córdoba, Spain. Creando Redes Doctorales Vol. VII: Investiga y Comunica, vol. III. pp. 629-632. [Más] [Bibtex] [RIS] [MODS]

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