Year: 2016 (25)

• 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]
• J. Camacho-Cañamón, M.J. Carreira and P.A. Gutiérrez. "ICBrain: Software para cálculo del volumen de infarto cerebral provocado en roedores", Patent 03/2016/1359, 2016-11-17. [More] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, J.C. Fernández, P.A. Gutiérrez and C. Hervás-Martínez. "Hybridization of neural network models for the prediction of extreme significant wave height segments". 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). 6th-9th December. 2016. Athens, Greece. pp. 1-8. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, M. Carbonero-Ruz and C. Hervás-Martínez. "Adapting Linear Discriminant Analysis to the Paradigm of Learning from Label Proportions". 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). 6th-9th December. 2016. Athens, Greece. pp. 1-7. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, J.M. Peña, J. Torres-Sánchez, F. López-Granados and C. Hervás-Martínez. "Machine Learning paradigms for Weed Mapping via Unmanned Aerial Vehicles". 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). 6th-9th December. 2016. Athens, Greece. pp. 1-8. [More] [Bibtex] [RIS] [MODS]
• M. Dorado-Moreno, A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez, L. Prieto, S. Salcedo-Sanz and C. Hervás-Martínez. "Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines". Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016). 14th-16th September. 2016. Salamanca (Spain). Lecture Notes in Computer Science (LNCS), vol. 9868. pp. 300-309. [More] [Bibtex] [RIS] [MODS]
• M. Pérez-Ortiz, P.A. Gutiérrez, M. Carbonero-Ruz and C. Hervás-Martínez. "Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis". Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016). Septiembre, 2016. 2016. Salamanca, Spain. Lecture Notes on Computer Science (LNCS), vol. 9868. pp. 79-88. [More] [Bibtex] [RIS] [MODS]
• A.M. Durán-Rosal, M. Dorado-Moreno, P.A. Gutiérrez and C. Hervás-Martínez. "On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm". Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016). 14th-16th September. 2016. Salamanca (Spain). Lecture Notes in Computer Science (LNCS), vol. 9868. pp. 418-427. [More] [Bibtex] [RIS] [MODS]