Julio
Fernández Ceniceros
Investigador en el periodo 2009-2015
University of Helsinki
Helsinki, FinlandiaPublicaciones en colaboración con investigadores/as de University of Helsinki (9)
2017
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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
Logic Journal of the IGPL, Vol. 25, Núm. 6, pp. 877-889
2016
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Hotel Reservation Forecasting Using Flexible Soft Computing Techniques: A Case of Study in a Spanish Hotel
International Journal of Information Technology and Decision Making, Vol. 15, Núm. 5, pp. 1211-1234
2015
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A numerical-informational approach for characterising the ductile behaviour of the T-stub component. Part 1: Refined finite element model and test validation
Engineering Structures, Vol. 82, pp. 236-248
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A numerical-informational approach for characterising the ductile behaviour of the T-stub component. Part 2: Parsimonious soft-computing-based metamodel
Engineering Structures, Vol. 82, pp. 249-260
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GA-PARSIMONY: A GA-SVR approach with feature selection and parameter optimization to obtain parsimonious solutions for predicting temperature settings in a continuous annealing furnace
Applied Soft Computing Journal, Vol. 35, pp. 13-28
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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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Microproject-based teaching/learning methodology focused on emerging technologies and international entities cooperation
1ST INTERNATIONAL CONFERENCE ON HIGHER EDUCATION ADVANCES (HEAD'15)
2014
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Hybrid modelling of multilayer perceptron ensembles for predicting the response of bolted lap joints
Logic Journal of the IGPL, Vol. 23, Núm. 3, pp. 451-462
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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