Alpha V. Pernía-Espinoza

25 papers C 2Misc 6Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Parsimony search in small high-dimensional datasets with HYB-PARSIMONY.
Log. J. IGPL
Jose Divasón, Alpha V. Pernía-Espinoza, Ana Romero, Francisco Javier Martínez de Pisón
2025 — conf
HYBPARSIMONY-IDT: Hybrid Parsimonious Search for Interpretable Decision Trees.
HAIS (1)
Francisco Javier Martínez de Pisón, Alpha V. Pernía-Espinoza, Jose Divasón
2023 J jnl
HYB-PARSIMONY: A hybrid approach combining Particle Swarm Optimization and Genetic Algorithms to find parsimonious models in high-dimensional datasets.
Neurocomputing
Jose Divasón, Alpha V. Pernía-Espinoza, Francisco J. Martínez de Pisón Ascacibar
2023 Misc conf
Hybrid Intelligent Parsimony Search in Small High-Dimensional Datasets.
HAIS
Jose Divasón, Alpha V. Pernía-Espinoza, Ana Romero, Francisco J. Martínez de Pisón Ascacibar
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
2022 Misc conf
New Hybrid Methodology Based on Particle Swarm Optimization with Genetic Algorithms to Improve the Search of Parsimonious Models in High-Dimensional Databases.
HAIS
Jose Divasón, Alpha V. Pernía-Espinoza, Francisco J. Martínez de Pisón Ascacibar
2022 — conf
Work-in-Progress: Building Up Employability Skills and Social Responsibility in the University of La Rioja Industrial Engineering Degrees.
ICL (2)
Alpha V. Pernía-Espinoza, Andrés Sanz-García, Francisco Javier Martínez de Pisón Ascacíbar, Fermín Navaridas-Nalda, Julio Blanco-Fernández
2021 J jnl
A comparative study of six model complexity metrics to search for parsimonious models with GAparsimony R Package.
Neurocomputing
Francisco Javier Martínez de Pisón, Javier Ferreiro-Cabello, Esteban Fraile-Garcia, Alpha V. Pernía-Espinoza
2021 C conf
Active learning methodologies in STEM degrees jeopardized by COVID19.
EDUCON
Alpha V. Pernía-Espinoza, Andrés Sanz-García, F. Javier Martínez-de-Pisón-Ascacibar, Fermín Navaridas-Nalda
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 Misc conf
GAparsimony: An R Package for Searching Parsimonious Models by Combining Hyperparameter Optimization and Feature Selection.
HAIS
Francisco Javier Martínez de Pisón, Ruben Gonzalez-Sendino, Javier Ferreiro-Cabello, Esteban Fraile-Garcia, Alpha V. Pernía-Espinoza
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
2017 Misc conf
Single and Blended Models for Day-Ahead Photovoltaic Power Forecasting.
HAIS
Javier Antoñanzas, Rubén Urraca, Alpha V. Pernía-Espinoza, Alvaro Aldama, Luis Alfredo Fernández-Jiménez, Francisco Javier Martínez de Pisón
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
2016 — conf
Searching Parsimonious Solutions with GA-PARSIMONY and XGBoost in High-Dimensional Databases.
SOCO-CISIS-ICEUTE
Francisco J. Martínez de Pisón Ascacibar, Esteban Fraile-Garcia, Javier Ferreiro-Cabello, Rubén González Crespo, Alpha V. Pernía-Espinoza
2015 Misc conf
A Straightforward Implementation of a GPU-accelerated ELM in R with NVIDIA Graphic Cards.
HAIS
M. Alia-Martinez, Javier Antoñanzas, Fernando Antoñanzas-Torres, Alpha V. Pernía-Espinoza, Rubén Urraca
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
2013 — conf
Towards Improving the Applicability of Non-parametric Multiple Comparisons to Select the Best Soft Computing Models in Rubber Extrusion Industry.
SOCO-CISIS-ICEUTE
Rubén Urraca-Valle, Enrique Sodupe-Ortega, Alpha V. Pernía-Espinoza, Andrés Sanz-García
2012 J jnl
Combining genetic algorithms and the finite element method to improve steel industrial processes.
J. Appl. Log.
Andrés Sanz-García, Alpha V. Pernía-Espinoza, R. Fernández-Martínez, Francisco J. Martínez de Pisón Ascacibar
2011 — conf
Genetic Algorithms Combined with the Finite Elements Method as an Efficient Methodology for the Design of Tapered Roller Bearings.
SOCO
Rubén Lostado-Lorza, Andrés Sanz-García, Ana González-Marcos, Alpha V. Pernía-Espinoza
2011 — conf
Improving Steel Industrial Processes Using Genetic Algorithms and Finite Element Method.
SOCO
Andrés Sanz-García, Rubén Lostado-Lorza, Alpha V. Pernía-Espinoza, Francisco J. Martínez de Pisón Ascacibar
2007 J jnl
A neural network-based approach for optimising rubber extrusion lines.
Int. J. Comput. Integr. Manuf.
Ana González-Marcos, Alpha V. Pernía-Espinoza, Fernando Alba-Elías, A. García Forcada
2005 J jnl
TAO-robust backpropagation learning algorithm.
Neural Networks
Alpha V. Pernía-Espinoza, Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, Ana González-Marcos