Julio Fernández-Ceniceros

14 papers C 1Misc 2Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
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
Jose Divasón, Julio Fernández-Ceniceros, Andrés Sanz-García, Alpha V. Pernía-Espinoza, Francisco Javier Martínez de Pisón
2021 Misc conf
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.
HAIS
Julio Fernández-Ceniceros, Andrés Sanz-García, Alpha V. Pernía-Espinoza, Francisco Javier Martínez de Pisón
2020 C conf
Technical projects with social commitment for teaching-learning intervention in STEM students.
EDUCON
Alpha V. Pernía-Espinoza, Andrés Sanz-García, Francisco Javier Martínez de Pisón Ascacíbar, Sergio Peciña-Marqueta, Julio Fernández-Ceniceros
2018 J jnl
Stacking ensemble with parsimonious base models to improve generalization capability in the characterization of steel bolted components.
Appl. Soft Comput.
Alpha V. Pernía-Espinoza, Julio Fernández-Ceniceros, Javier Antoñanzas-Torres, Rubén Urraca, Francisco J. Martínez de Pisón Ascacibar
2017 J jnl
Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning.
Log. J. IGPL
Rubén Urraca, Andrés Sanz-García, Julio Fernández-Ceniceros, Alpha V. Pernía-Espinoza, Francisco J. Martínez de Pisón Ascacibar
2016 J jnl
Hotel Reservation Forecasting Using Flexible Soft Computing Techniques: A Case of Study in a Spanish Hotel.
Int. J. Inf. Technol. Decis. Mak.
Eduardo Martínez-de-Pisón, Julio Fernández-Ceniceros, Alpha V. Pernía-Espinoza, Francisco J. Martínez de Pisón Ascacibar, Andrés Sanz-García
2015 J jnl
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.
Andrés Sanz-García, Julio Fernández-Ceniceros, Fernando Antoñanzas-Torres, Alpha V. Pernía-Espinoza, Francisco J. Martínez de Pisón Ascacibar
2015 J jnl
Hybrid Modelling of Multilayer Perceptron Ensembles for Predicting the Response of Bolted Lap Joints.
Log. J. IGPL
Julio Fernández-Ceniceros, Fernando Antoñanzas-Torres, Francisco J. Martínez de Pisón Ascacibar, Andrés Sanz-García
2015 Misc conf
Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning.
HAIS
Rubén Urraca, Andrés Sanz-García, Julio Fernández-Ceniceros, Enrique Sodupe-Ortega, Francisco J. Martínez de Pisón Ascacibar
2014 — conf
Soft Computing Metamodels for the Failure Prediction of T-stub Bolted Connections.
SOCO-CISIS-ICEUTE
Julio Fernández-Ceniceros, Javier Antoñanzas-Torres, Rubén Urraca-Valle, Enrique Sodupe-Ortega, Andrés Sanz-García
2013 — conf
Parsimonious Support Vector Machines Modelling for Set Points in Industrial Processes Based on Genetic Algorithm Optimization.
SOCO-CISIS-ICEUTE
Andrés Sanz-García, Julio Fernández-Ceniceros, Fernando Antoñanzas-Torres, F. Javier Martínez-de-Pisón-Ascacibar
2013 — conf
The Application of Metamodels Based on Soft Computing to Reproduce the Behaviour of Bolted Lap Joints in Steel Structures.
SOCO-CISIS-ICEUTE
Julio Fernández-Ceniceros, Rubén Urraca-Valle, Javier Antoñanzas-Torres, Andrés Sanz-García
2012 — conf
Application of Genetic Algorithms to Optimize a Truncated Mean k-Nearest Neighbours Regressor for Hotel Reservation Forecasting.
HAIS (1)
Andrés Sanz-García, Julio Fernández-Ceniceros, Fernando Antoñanzas-Torres, Francisco J. Martínez de Pisón Ascacibar
2012 — conf
Multilayer-Perceptron Network Ensemble Modeling with Genetic Algorithms for the Capacity of Bolted Lap Joint.
HAIS (1)
Julio Fernández-Ceniceros, Andrés Sanz-García, Fernando Antoñanzas-Torres, F. Javier Martínez-de-Pisón-Ascacibar