Julio
Fernández Ceniceros
Investigador en el periodo 2009-2015
Publicaciones en las que colabora con Julio Fernández Ceniceros (42)
2023
2021
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PSO-PARSIMONY: A New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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PSO-PARSIMONY: a New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections
Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings
2018
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A novel hybrid strip finishing process to improve mechanical properties and reduce energy consumption
International Journal of Material Forming, pp. 1-17
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Stacking ensemble with parsimonious base models to improve generalization capability in the characterization of steel bolted components
Applied Soft Computing Journal, Vol. 70, pp. 737-750
2017
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Implementing a technically and economically viable system for recording data inside concrete
Construction and Building Materials, Vol. 157, pp. 860-872
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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
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Teaching/learning methodologies based on microprojects and internationalization to increase students’ motivation ontechnical subjects
Advances in Higher Education (edUPV, Editorial Universitat Politècnica de València), pp. 191-208
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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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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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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Generation of daily global solar irradiation with support vector machines for regression
Energy Conversion and Management, Vol. 96, pp. 277-286
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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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Analysis and optimization of meshing techniques for cfd simulations of rubber extrusion dies
Proceedings from the 18th International Congress on Project Management and Engineering: (Alcañiz, July 2014)
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Desarrollo de "Microproyectos basados en Tecnologías Emergentes", mediante la colaboración con entidades internacionales dentro de los nuevos Grados de Ingeniería, 2ª etapa
Desarrollo de "Microproyectos basados en Tecnologías Emergentes", mediante la colaboración con entidades internacionales dentro de los nuevos Grados de Ingeniería, 2ª etapa
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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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Methodology based on genetic optimisation to develop overall parsimony models for predicting temperature settings on annealing furnace
Ironmaking and Steelmaking, Vol. 41, Núm. 2, pp. 87-98