Rubén
Urraca Valle
DOCTOR
Enrique
Sodupe Ortega
Investigador no período 2015-2018
Publicacións nas que colabora con Enrique Sodupe Ortega (14)
2018
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Evaluation of a novel GA-based methodology for model structure selection: The GA-PARSIMONY
Neurocomputing, Vol. 271, pp. 9-17
2017
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Assessment of microproject-based teaching/learning (MicroPBL) experience in industrial engineering degrees
Proceedings of the HEAd’17. 3rd International Conference on Higher Education Advances (Editorial Universitat Politècnica de València), pp. 268-276
2015
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DESARROLLO DE “MICRO-PROYECTOS BASADOS EN TECNOLOGÍAS EMERGENTES” MEDIANTE LA COLABORACIÓN CON ENTIDADES INTERNACIONALES DENTRO DE LOS NUEVOS GRADOS DE INGENIERÍA. 3º ETAPA.
DESARROLLO DE “MICRO-PROYECTOS BASADOS EN TECNOLOGÍAS EMERGENTES” MEDIANTE LA COLABORACIÓN CON ENTIDADES INTERNACIONALES DENTRO DE LOS NUEVOS GRADOS DE INGENIERÍA. 3º ETAPA.
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Data mining teaching throughout cards game competition
1ST INTERNATIONAL CONFERENCE ON HIGHER EDUCATION ADVANCES (HEAD'15)
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Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning
Lecture Notes in Computer Science, Vol. 9121, pp. 632-643
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On-line Soft Sensor Based on Regression Models and Feature Selection Techniques for Predicting Rubber Properties in Mixture Processes
Project Management and Engineering, pp. 235-245
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On-line soft sensor based on regression models and feature selection techniques for predicting rubber properties in mixture processes
Project Management and Engineering: Selected Papers from the 17th International AEIPRO Congress held in Logroño, Spain, in 2013
2014
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An Overall Performance Comparative of GA-PARSIMONY Methodology with Regression Algorithms
International Joint Conference SOCO'14-CISIS'14- 53 ICEUTE'14, Advances in Intelligent Systems and Computing, pp. 53-62
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Soft computing metamodels for the failure prediction of T-stub bolted connections
Advances in Intelligent Systems and Computing, pp. 41-51
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Towards improving the applicability of non-parametric multiple comparisons to select the best soft computing models in rubber extrusion industry
International Joint Conference SOCO’13-CISIS’13-ICEUTE’13 : Advances in Intelligent Systems and Computing (Springer), pp. 171-180
2013
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Comparative methodology of non-linear models for predicting rheological properties of rubber mixtures in industrial lines
Comunicaciones presentadas al XVII Congreso Internacional de Dirección e Ingeniería de Proyectos, celebrado en Logroño del 17 al 19 de julio de 2013
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Methodology for the assessment of bolted connections based on the finite element method and data mining techniques
Comunicaciones presentadas al XVII Congreso Internacional de Dirección e Ingeniería de Proyectos, celebrado en Logroño del 17 al 19 de julio de 2013
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On-line soft sensor for predicting rubber properties in a mixture process based on regression models with feature selection
Comunicaciones presentadas al XVII Congreso Internacional de Dirección e Ingeniería de Proyectos, celebrado en Logroño del 17 al 19 de julio de 2013
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Potencial de integración de energía solar de concentración en el ciclo combinado de Arrúbal
Comunicaciones presentadas al XVII Congreso Internacional de Dirección e Ingeniería de Proyectos, celebrado en Logroño del 17 al 19 de julio de 2013