Alpha V. Pernía-Espinoza
Orcid: 0000-0001-6227-075X
According to our database1,
Alpha V. Pernía-Espinoza
authored at least 23 papers
between 2005 and 2023.
Collaborative distances:
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Bibliography
2023
HYB-PARSIMONY: A hybrid approach combining Particle Swarm Optimization and Genetic Algorithms to find parsimonious models in high-dimensional datasets.
Neurocomputing, December, 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
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 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
New Hybrid Methodology Based on Particle Swarm Optimization with Genetic Algorithms to Improve the Search of Parsimonious Models in High-Dimensional Databases.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022
2021
A comparative study of six model complexity metrics to search for parsimonious models with GAparsimony R Package.
Neurocomputing, 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
2018
Stacking ensemble with parsimonious base models to improve generalization capability in the characterization of steel bolted components.
Appl. Soft Comput., 2018
GAparsimony: An R Package for Searching Parsimonious Models by Combining Hyperparameter Optimization and Feature Selection.
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
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 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
Searching Parsimonious Solutions with GA-PARSIMONY and XGBoost in High-Dimensional Databases.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016
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
A Straightforward Implementation of a GPU-accelerated ELM in R with NVIDIA Graphic Cards.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015
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
2012
Combining genetic algorithms and the finite element method to improve steel industrial processes.
J. Appl. Log., 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
2007
Int. J. Comput. Integr. Manuf., 2007
2005