Year: 2017 (1)

• M. Dorado-Moreno, L. Cornejo-Bueno, P.A. Gutiérrez, L. Prieto, S. Salcedo-Sanz and C. Hervás-Martínez. "Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction". 14th International Work-Conference on Artificial and Natural Neural Networks (IWANN2017). 14th-16th June. 2017. Cádiz, Spain. Lecture Notes in Computer Science (LNCS), vol. 10305. pp. 708-719. [More] [Bibtex] [RIS] [MODS]

Year: 2016 (24)


• M. Pérez-Ortiz, P.A. Gutiérrez, M. Carbonero-Ruz and C. Hervás-Martínez. "Semi-Supervised Learning For Ordinal Kernel Discriminant Analysis", Neural Networks, Vol. 84, December, 2016, pp. 57-66. JCR(2016): 5.287 Position: 10/133 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• D. Guijo-Rubio, A.M. Durán-Rosal, P.A. Gutiérrez and C. Hervás-Martínez. "Clustering de Series Temporales basado en la Extracción de Tipologías de Segmentos". UCOPress ed. 2016. pp. 201-204. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, P. Tino and C. Hervás-Martínez. "Oversampling the minority class in the feature space", IEEE Transactions on Neural Networks and Learning Systems, Vol. 27(9), September, 2016, pp. 1947-1961. JCR(2016): 6.108 Position: 3/104 (Q1) Category: COMPUTER SCIENCE, THEORY & METHODS. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, S. Jiménez-Fernández, P.A. Gutiérrez, E. Alexandre, C. Hervás-Martínez and S. Salcedo-Sanz. "A review of classification problems and algorithms in renewable energy applications", Energies, Vol. 9(8), August, 2016, pp. 607. JCR(2016): 2.262 Position: 45/92 (Q2) Category: ENERGY & FUELS. [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez and S. García. "Current prospects on ordinal and monotonic classification", Progress in Artificial Intelligence, Vol. 5(3), August, 2016, pp. 171-179. [More] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, C. Hervás-Martínez, A.J. Tallón-Ballesteros, A.C. Martínez-Estudillo and S. Salcedo-Sanz. "Massive missing data reconstruction in ocean buoys with evolutionary product unit neural networks", Ocean Engineering, Vol. 117, May, 2016, pp. 292 - 301. JCR(2016): 1.894 Position: 2/14 (Q1) Category: ENGINEERING, MARINE. [More] [Bibtex] [RIS] [MODS]
• P.A. Gutiérrez, M. Pérez-Ortiz, J. Sánchez-Monedero, F. Fernandez-Navarro and C. Hervás-Martínez. "Ordinal regression methods: survey and experimental study", IEEE Transactions on Knowledge and Data Engineering, Vol. 28(1), January, 2016, pp. 127-146. JCR(2016): 3.438 Position: 21/146 (Q1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS. [More] [Bibtex] [RIS] [MODS]
• J. Camacho-Cañamón. "Sistema automático para el cálculo de volumen de infarto cerebral a partir de imágenes de resonancia magnética". Investigando por un futuro mejor. 2016. pp. 196-200. [More] [Bibtex] [RIS] [MODS]
• J.M. Dueñas-Jurado, P.A. Gutiérrez, F. Santos-Luna, A. Salvatierra-Velázquez and C. Hervás-Martínez. "Nuevos modelos de asignación donante-receptor en el trasplante pulmonar". XXXI Reunión Nacional de Coordinadores de Transplantes. 2016. [More] [Bibtex] [RIS] [MODS]
• P. Tirado-Valencia, M.L. Rodero-Cosano, M. Ruiz-Lozano and A. Rios-Berjillos. "Online sustainability information in European local governments: An explicative model to improve transparency.", Online Information Review, Vol. 40(3). 2016, pp. 400-415. [More] [Bibtex] [RIS] [MODS]
• M.L. Rodero-Cosano, J.A. Salinas-Pérez, J.L. Gonzalez-Caballero, C. García-Alonso, C. Lagares-Franco and L. Salvador-Carulla. "A multi-level analysis of the relationship between spatial clusters of outpatient-treated depression, risk factors and mental health service planning in Catalonia (Spain).", Journal of affective disorders, Vol. 201. 2016, pp. 42-49. [More] [Bibtex] [RIS] [MODS]
• J. Sánchez-Monedero, M. Pérez-Ortiz, A. Sáez, P.A. Gutiérrez and C. Hervás-Martínez. "Machine learning decomposition models for partial ordering problems: An application to melanoma severity classification". Proceedings of the 1st Workshop on Advances and Applications of Data Science & Engineering. 2016. pp. 113-118. [More] [Bibtex] [RIS] [MODS]
• D. Becerra-Alonso, M. Carbonero-Ruz and F. Fernandez-Navarro. "Using Extreme Learning Machines to cluster supervised data before classification". NoLineal 2016. Book of abstracts. 2016. Universidad de Sevilla. Talks, part 1: Theory and Computation. pp. 19. [More] [Bibtex] [RIS] [MODS]
• P. Gómez-Rey, E. Barbera-Gregori and F. Fernandez-Navarro. "The impact of culture in online learning", Educational Technology and Society, Vol. 19(4). 2016, pp. 124-138. [More] [Bibtex] [RIS] [MODS]
• P. Gómez-Rey, E. Barbera-Gregori and F. Fernandez-Navarro. "Measuring teaching and learners’ perceptions of the quality of their online learning experience", Distance Education, Vol. 37(2). 2016, pp. 146-163. JCR(2016): 1.592 Position: 56/235 (Q1) Category: EDUCATION & EDUCATIONAL RESEARCH. [More] [Bibtex] [RIS] [MODS]
• E. Barbera-Gregori, P. Gómez-Rey and F. Fernandez-Navarro. "A cross-national study of teacher’s perceptions of online learning success.", Open Learning: The journal of Open, Distance and e-Learning, Vol. 31(1). 2016, pp. 25-41. [More] [Bibtex] [RIS] [MODS]
• D. Aguilar-Hidalgo, D. Becerra-Alonso, D. García-Morales and F. Casares. "Toward a study of gene regulatory constraints to morphological evolution of the Drosophila ocellar region", Development Genes and Evolution. 2016. JCR(2015): 2.508 Position: 18/41 (Q2) Category: DEVELOPMENTAL BIOLOGY. [More] [Bibtex] [RIS] [MODS]
• A. Sáez, J. Sánchez-Monedero, P.A. Gutiérrez and C. Hervás-Martínez. "Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images", IEEE Transactions on Medical Imaging, Vol. 35(4). 2016, pp. 1036-1045. JCR(2016): 3.942 Position: 9/105 (Q1) Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, J.M. Peña, P.A. Gutiérrez, J. Torres-Sánchez, C. Hervás-Martínez and F. López-Granados. "Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery", Expert Systems with Applications, Vol. 47. 2016, pp. 85-94. JCR(2016): 3.928 Position: 3/83 (Q1) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, M. Fernández-Delgado, E. Cernadas, R. Domínguez-Petit, P.A. Gutiérrez and C. Hervás-Martínez. "On the use of nominal and ordinal classifiers for the discrimination of states of development in fish oocytes", Neural Processing Letters, Vol. 44(2). 2016, pp. 555-570. JCR(2016): 1.620 Position: 74/133 (Q3) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• P. Gómez-Rey, F. Fernandez-Navarro and E. Barbera-Gregori. "Ordinal Regression by a Gravitational Model in the field of Educational Data Mining", Expert Systems, Vol. 33(2). 2016, pp. 161-175. JCR(2015): 0.947 Position: 57/105 (Q3) Category: COMPUTER SCIENCE, THEORY & METHODS. [More] [Bibtex] [RIS] [MODS]
• A. Castaño-Méndez, F. Fernandez-Navarro, A. Riccardi and C. Hervás-Martínez. "Enforcement of the principal component analysis–extreme learning machine algorithm by linear discriminant analysis", Neural Computing and Applications, Vol. 27(6). 2016, pp. 1749–1760. JCR(2016): 2.505 Position: 40/133 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE.. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, J. Sánchez-Monedero and C. Hervás-Martínez. "A study on multi-scale kernel optimisation via centered kernel-target alignment", Neural Processing Letters, Vol. 44(2). 2016, pp. 491-517. JCR(2016): 1.620 Position: 74/133 (Q3) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. [More] [Bibtex] [RIS] [MODS]
• M. Dorado-Moreno, A. Sianes and C. Hervás-Martínez. "From outside to hyper-globalisation: an Artificial Neural Network ordinal classifier to measure the extent of globalisation", Quality & Quantity. 2016. JCR(2016): 1.094 Position: 51/124 (Q2) Category: STATISTICS & PROBABILITY. [More] [Bibtex] [RIS] [MODS]