BOOK CHAPTERS
2015
(19) Alia-Martinez, M., Antonanzas, J. Antonanzas-Torres, F., Pernía-Espinoza, A., Urraca, R., 2015. A straightforward implementation of a GPU-accelerated ELM in R with NVIDIA graphic cards. Hybrid Artificial Intelligent Systems. Lecture Notes in Computer Science 9121, 656-667. ISBN: 978-3-319-19644-2 PDF Presentation
(18) Urraca, R., Sanz-Garcia, A., Fernandez-Ceniceros, J., Sodupe-Ortega, E., Martinez-de-Pison, F.J., 2015. Improving hotel room demand forecasting with a hybrid GA-SVR Methodology based on skewed data transformation, feature selection and parsimony tuning. Hybrid Artificial Intelligent Systems. Lecture Notes in Computer Science 9121, 632-643. ISBN: 978-3-319-19644-2. PDF
(17) Antonanzas-Torres, F., Antonanzas, J., Martinez-de-Pison, F.J., Alia-Martinez, M., Perpiñán-Lamigueiro, O., 2015. Downscaling of solar irradiation from satellite estimates. Project Management and Engineering, 197-205. Springer. ISBN 978-3-319-12753-8
(16) Alia-Martinez, M., Fernandez-Ceniceros, J., Antonanzas, J., Fraile-Garcia, E., Urraca, R., 2015. Innovative modular building manufactured using structural black poplar plywood panels. Project Management and Engineering, 105-113. Springer. ISBN 978-3-319-12753-8
(15) Sodupe-Ortega, E., Urraca, R., Antonanzas, J., Alia-Martinez, M., Sanz-Garcia, A., Martinez-de-Pison, F. J., 2015. On-line soft sensor for predicting rubber properties in a mixture process based on regression models with feature selection. Project Management and Engineering, 235-245. Springer. ISBN 978-3-319-12753-8
(14) Combarros Hernández, G., García Garijo, A., Antoñanzas Torres, F., Alonso García, E., Fernández Martínez, R., 2015. Use of wireless sensor network to control landslides interacting. Project Management and Engineering, 267-278. Springer. ISBN 978-3-319-12753-8
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(13) Antonanzas-Torres, F., Sanz-Garcia, A., Antonanzas-Torres, J., Perpiñan-Lamigueiro, O., Martinez-de-Pison-Ascacibar, F. J., 2014. Current status and future trends of the evaluation of solar global irradiation using soft-computing-based models. Soft Computing Applications for Renewable Energy and Energy Efficiency, 1-21. IGI Global, USA.
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(12) Antonanzas, J., Fernandez-Ceniceros, J., Martinez-de-Pison, F. J., Antonanzas-Torres, F., 2014. Technoeconomic assessment of integrated solar combined cycle (ISCC) power plants. Solar Energy Series. Studium Press LLC, USA.
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(11) Urraca-Valle, R., Sodupe-Ortega, E., Antonanzas-Torres, J., Antonanzas-Torres, F., Martínez-de-Pisón, F. J., 2014. An overall performance comparative of GA-Parsimony methodology with regression algorithms. In Advances in Intelligent Systems and Computing 299, 53-62. Springer. DOI: 10.1007/978-3-319-07995-0_6 PDF
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(10) Fernández-Ceniceros, J., Antonanzas-Torres, J., Urraca-Valle, R., Sodupe-Ortega, E., Sanz-Garcia, A., 2014. Soft computing metamodels for the failure prediction of T-stub bolted connections. In Advances in Intelligent Systems and Computing 299, 41-51. Springer. DOI: 10.1007/978-3-319-07995-0_5 PDF
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(8) Sanz-Garcia, A., Fernandez-Ceniceros, J., Antonanzas-Torres, F., Martínez-de-Pisón-Ascacíbar, F. J., 2014. Parsimonious support vector machines modelling for set points in industrial processes based on genetic algorithm optimization. In Advances of Intelligence Systems and Computing 239, 1-10. Springer. DOI: 10.1007/978-3-319-01854-6_1 PDF
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(7) Fernandez-Ceniceros, J., Urraca-Valle, R., Antonanzas-Torres, J., Sanz-Garcia, A., 2014. The application of metamodels based on soft computing to reproduce the behavior of bolted lap joints in steel structures. In Advances of Intelligence Systems and Computing 239, 151-160. Springer. DOI: 10.1007/978-3-319-01854-6_16 PDF
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(6) Urraca-Valle, R., Sodupe-Ortega, E., Pernía-Espinoza, A., Sanz-García, A., 2014. Towards improving the applicability of non-parametric multiple comparisons to select the best soft computing models in rubber extrusion industry. In Advances of Intelligence Systems and Computing 239, 171-180. Springer. DOI: 10.1007/978-3-319-01854-6_18 PDF
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(5) Sanz-García, S., Fernández-Ceniceros, J., Antoñanzas-Torres, Fernando, Martínez-de-Pisón-Ascacíbar, F.J., 2012. Application of genetic algorithms to optimize a truncated mean k-nearest neighbors regressor for hotel reservation forecasting. In Lecture Notes in Computer Science 7208, 79-90. Springer. PDF
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(4) Fernández-Ceniceros, J., Sanz-García, A., Antoñanzas-Torres, F., Martínez-de-Pisón-Ascacíbar, F.J., 2012. Multilayer-perceptron network ensemble modeling with genetic algorithms for the capacity of bolted lap joint. In Lecture Notes in Computer Science 7208, 545-556. Springer. PDF
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(3) Sanz-García, S., Lostado-Lorza, R., Pernía-Espinoza, A.V., Martínez de Pisón Ascacíbar, F.J., 2011. Improving steel industrial processes using genetic algorithm and finite element method. In Advances in Intelligent and Soft Computing 87, 233-241. Springer.
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(2) Martínez de Pisón Ascacíbar, F.J., Marcos González, A., Castejón Limas, M., Ordieres Meré, J.B., 2010. Chapter 20: Data mining experiences in steel industry. In Handbook of Research on Machine Learning Applications and Trends: algorithms, methods and techniques 1, 427-239.
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(1) Fernández Ceniceros, J., Martínez de Pisón Ascacíbar, E., Martínez de Pisón Ascacíbar, F.J., Lostado Lorza, R., 2010. Optimisation of concrete structures using data mining techniques. Application to oneway floor slabs. In Selected proceedings from the 14th International Congress on Project Engineering, 81-90.
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