Publicaciones en las que colabora con Julio Fernández Ceniceros (33)

2023

  1. PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force–displacement curves in T-stub steel connections

    Neurocomputing, Vol. 548

2021

  1. 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)

  2. 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

2017

  1. 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

  1. 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

  1. 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

  2. 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

  3. 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.

  4. 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

  5. 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

  6. Microproject-based teaching/learning methodology focused on emerging technologies and international entities cooperation

    1ST INTERNATIONAL CONFERENCE ON HIGHER EDUCATION ADVANCES (HEAD'15)

2014

  1. 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

  2. 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

  3. 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

  4. Overall models based on ensemble methods for predicting continuous annealing furnace temperature settings

    Ironmaking and Steelmaking, Vol. 41, Núm. 1, pp. 51-60

  5. Parsimonious Support Vector Machines Modelling for Set Points in Industrial Processes Based on Genetic Algorithm Optimization

    International Joint Conference SOCO'13-CISIS'13-ICEUTE'13. Advances in Intelligent Systems and Computing (SPRINGER-VERLAG), pp. 1-10

  6. Soft computing metamodels for the failure prediction of T-stub bolted connections

    Advances in Intelligent Systems and Computing, pp. 41-51

  7. The application of metamodels based on soft computing to reproduce the behaviour of bolted lap joints in steel structures

    International Joint Conference SOCO’13-CISIS’13-ICEUTE’13 : Advances in Intelligent Systems and Computing (Springer), pp. 151-160

2013

  1. Desarrollo de micro-proyectos basados en tecnologías emergentes mediante la colaboración con entidades internacionales dentro de los nuevos grados de ingeniería

    Desarrollo de micro-proyectos basados en tecnologías emergentes mediante la colaboración con entidades internacionales dentro de los nuevos grados de ingeniería

2012

  1. Application of genetic algorithms to optimize a truncated mean k-nearest neighbours regressor for hotel reservation forecasting

    Lecture Notes in Computer Science, Vol. 7208 LNAI, Núm. PART 1, pp. 79-90