Alpha V. Pernía-Espinoza

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 15

Top Topics

Industrial Engineering

Top Venues

SOCO-CISIS-ICEUTE

Publications

Jose Divasón, Alpha V. Pernía-Espinoza, Ana Romero, Francisco J. Martínez de Pisón Ascacibar
Hybrid Intelligent Parsimony Search in Small High-Dimensional Datasets. HAIS (2023)
Jose Divasón, Julio Fernández-Ceniceros, Andrés Sanz-García, Alpha V. Pernía-Espinoza, Francisco Javier Martínez de Pisón
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 548 (2023)
Jose Divasón, Alpha V. Pernía-Espinoza, Francisco J. Martínez de Pisón Ascacibar
HYB-PARSIMONY: A hybrid approach combining Particle Swarm Optimization and Genetic Algorithms to find parsimonious models in high-dimensional datasets. Neurocomputing 560 (2023)
Alpha V. Pernía-Espinoza, Andrés Sanz-García, Francisco Javier Martínez de Pisón Ascacíbar, Fermín Navaridas-Nalda, Julio Blanco-Fernández
Work-in-Progress: Building Up Employability Skills and Social Responsibility in the University of La Rioja Industrial Engineering Degrees. ICL (2) (2022)
Jose Divasón, Alpha V. Pernía-Espinoza, Francisco J. Martínez de Pisón Ascacibar
New Hybrid Methodology Based on Particle Swarm Optimization with Genetic Algorithms to Improve the Search of Parsimonious Models in High-Dimensional Databases. HAIS (2022)
Julio Fernández-Ceniceros, Andrés Sanz-García, Alpha V. Pernía-Espinoza, Francisco Javier Martínez de Pisón
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 (2021)
Alpha V. Pernía-Espinoza, Andrés Sanz-García, F. Javier Martínez-de-Pisón-Ascacibar, Fermín Navaridas-Nalda
Active learning methodologies in STEM degrees jeopardized by COVID19. EDUCON (2021)
Francisco Javier Martínez de Pisón, Javier Ferreiro-Cabello, Esteban Fraile-Garcia, Alpha V. Pernía-Espinoza
A comparative study of six model complexity metrics to search for parsimonious models with GAparsimony R Package. Neurocomputing 452 (2021)
Alpha V. Pernía-Espinoza, Andrés Sanz-García, Francisco Javier Martínez de Pisón Ascacíbar, Sergio Peciña-Marqueta, Julio Fernández-Ceniceros
Technical projects with social commitment for teaching-learning intervention in STEM students. EDUCON (2020)
Francisco Javier Martínez de Pisón, Ruben Gonzalez-Sendino, Javier Ferreiro-Cabello, Esteban Fraile-Garcia, Alpha V. Pernía-Espinoza
GAparsimony: An R Package for Searching Parsimonious Models by Combining Hyperparameter Optimization and Feature Selection. HAIS (2018)
Alpha V. Pernía-Espinoza, Julio Fernández-Ceniceros, Javier Antoñanzas-Torres, Rubén Urraca, Francisco J. Martínez de Pisón Ascacibar
Stacking ensemble with parsimonious base models to improve generalization capability in the characterization of steel bolted components. Appl. Soft Comput. 70 (2018)
Rubén Urraca, Andrés Sanz-García, Julio Fernández-Ceniceros, Alpha V. Pernía-Espinoza, Francisco J. Martínez de Pisón Ascacibar
Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning. Log. J. IGPL 25 (6) (2017)
Javier Antoñanzas, Rubén Urraca, Alpha V. Pernía-Espinoza, Alvaro Aldama, Luis Alfredo Fernández-Jiménez, Francisco Javier Martínez de Pisón
Single and Blended Models for Day-Ahead Photovoltaic Power Forecasting. HAIS (2017)
Eduardo Martínez-de-Pisón, Julio Fernández-Ceniceros, Alpha V. Pernía-Espinoza, Francisco J. Martínez de Pisón Ascacibar, Andrés Sanz-García
Hotel Reservation Forecasting Using Flexible Soft Computing Techniques: A Case of Study in a Spanish Hotel. Int. J. Inf. Technol. Decis. Mak. 15 (5) (2016)
Francisco J. Martínez de Pisón Ascacibar, Esteban Fraile-Garcia, Javier Ferreiro-Cabello, Rubén Gonzalez, Alpha V. Pernía-Espinoza
Searching Parsimonious Solutions with GA-PARSIMONY and XGBoost in High-Dimensional Databases. SOCO-CISIS-ICEUTE (2016)
M. Alia-Martinez, Javier Antoñanzas, Fernando Antoñanzas-Torres, Alpha V. Pernía-Espinoza, Rubén Urraca
A Straightforward Implementation of a GPU-accelerated ELM in R with NVIDIA Graphic Cards. HAIS (2015)
Andrés Sanz-García, Julio Fernández-Ceniceros, Fernando Antoñanzas-Torres, Alpha V. Pernía-Espinoza, Francisco J. Martínez de Pisón Ascacibar
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. 35 (2015)
Rubén Urraca-Valle, Enrique Sodupe-Ortega, Alpha V. Pernía-Espinoza, Andrés Sanz-García
Towards Improving the Applicability of Non-parametric Multiple Comparisons to Select the Best Soft Computing Models in Rubber Extrusion Industry. SOCO-CISIS-ICEUTE (2013)
Andrés Sanz-García, Alpha V. Pernía-Espinoza, R. Fernández-Martínez, Francisco J. Martínez de Pisón Ascacibar
Combining genetic algorithms and the finite element method to improve steel industrial processes. J. Appl. Log. 10 (4) (2012)
Rubén Lostado-Lorza, Andrés Sanz-García, Ana González-Marcos, Alpha V. Pernía-Espinoza
Genetic Algorithms Combined with the Finite Elements Method as an Efficient Methodology for the Design of Tapered Roller Bearings. SOCO (2011)
Andrés Sanz-García, Rubén Lostado-Lorza, Alpha V. Pernía-Espinoza, Francisco J. Martínez de Pisón Ascacibar
Improving Steel Industrial Processes Using Genetic Algorithms and Finite Element Method. SOCO (2011)
Ana González-Marcos, Alpha V. Pernía-Espinoza, Fernando Alba-Elías, A. García Forcada
A neural network-based approach for optimising rubber extrusion lines. Int. J. Comput. Integr. Manuf. 20 (8) (2007)
Alpha V. Pernía-Espinoza, Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, Ana González-Marcos
TAO-robust backpropagation learning algorithm. Neural Networks 18 (2) (2005)