Andrés Sanz-García
Orcid: 0000-0003-0413-4965
According to our database1,
Andrés Sanz-García
authored at least 22 papers
between 2011 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
2022
Work-in-Progress: Building Up Employability Skills and Social Responsibility in the University of La Rioja Industrial Engineering Degrees.
Proceedings of the Learning in the Age of Digital and Green Transition, 2022
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
Proceedings of the IEEE Global Engineering Education 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
2019
Analysis of Spanish Radiometric Networks with the Novel Bias-Based Quality Control (BQC) Method.
Sensors, 2019
2018
An Algorithm Based on Satellite Observations to Quality Control Ground Solar Sensors: Analysis of Spanish Meteorological Networks.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 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
Towards Improving the Applicability of Non-parametric Multiple Comparisons to Select the Best Soft Computing Models in Rubber Extrusion Industry.
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 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
Combining genetic algorithms and the finite element method to improve steel industrial processes.
J. Appl. Log., 2012
Mining association rules from time series to explain failures in a hot-dip galvanizing steel line.
Comput. Ind. Eng., 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
2011
Improving Steel Industrial Processes Using Genetic Algorithms and Finite Element Method.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011
Genetic Algorithms Combined with the Finite Elements Method as an Efficient Methodology for the Design of Tapered Roller Bearings.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011