Publicaciones en las que colabora con Enrique Sodupe Ortega (14)

2018

  1. Evaluation of a novel GA-based methodology for model structure selection: The GA-PARSIMONY

    Neurocomputing, Vol. 271, pp. 9-17

2017

  1. 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

  1. 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.

  2. Data mining teaching throughout cards game competition

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

  3. 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

  4. 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

  5. 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

  1. 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

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

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

  3. 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

  1. 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

  2. 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

  3. 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

  4. 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