Julio Fernández-Ceniceros
Orcid: 0000-0003-3620-5991
According to our database1,
Julio Fernández-Ceniceros
authored at least 14 papers
between 2012 and 2023.
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Bibliography
2023
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, 2023
2021
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.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021
2020
Technical projects with social commitment for teaching-learning intervention in STEM students.
Proceedings of the 2020 IEEE Global Engineering Education Conference, 2020
2018
Stacking ensemble with parsimonious base models to improve generalization capability in the characterization of steel bolted components.
Appl. Soft Comput., 2018
2017
Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning.
Log. J. IGPL, 2017
2016
Hotel Reservation Forecasting Using Flexible Soft Computing Techniques: A Case of Study in a Spanish Hotel.
Int. J. Inf. Technol. Decis. Mak., 2016
2015
Hybrid Modelling of Multilayer Perceptron Ensembles for Predicting the Response of Bolted Lap Joints.
Log. J. IGPL, 2015
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.
Appl. Soft Comput., 2015
Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015
2014
Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014
2013
Parsimonious Support Vector Machines Modelling for Set Points in Industrial Processes Based on Genetic Algorithm Optimization.
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013
The Application of Metamodels Based on Soft Computing to Reproduce the Behaviour of Bolted Lap Joints in Steel Structures.
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013
2012
Application of Genetic Algorithms to Optimize a Truncated Mean k-Nearest Neighbours Regressor for Hotel Reservation Forecasting.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
Multilayer-Perceptron Network Ensemble Modeling with Genetic Algorithms for the Capacity of Bolted Lap Joint.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012