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Alpha V. Pernía-Espinoza
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2020 – today
- 2023
- [j10]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: 126414 (2023) - [j9]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: 126840 (2023) - [c13]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: 384-396 - 2022
- [c12]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: 335-347 - [c11]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: 283-290 - 2021
- [j8]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: 317-332 (2021) - [c10]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: 689-695 - [c9]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: 15-26 - 2020
- [c8]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: 579-586
2010 – 2019
- 2018
- [j7]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: 737-750 (2018) - [c7]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: 62-73 - 2017
- [j6]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): 877-889 (2017) - [c6]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: 427-434 - 2016
- [j5]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): 1211-1234 (2016) - [c5]Francisco J. Martínez de Pisón Ascacibar, Esteban Fraile-Garcia
, Javier Ferreiro-Cabello
, Rubén González Crespo
, Alpha V. Pernía-Espinoza
:
Searching Parsimonious Solutions with GA-PARSIMONY and XGBoost in High-Dimensional Databases. SOCO-CISIS-ICEUTE 2016: 201-210 - 2015
- [j4]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: 13-28 (2015) - [c4]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: 656-667 - 2013
- [c3]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: 171-180 - 2012
- [j3]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): 298-308 (2012) - 2011
- [c2]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: 233-241 - [c1]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: 243-252
2000 – 2009
- 2007
- [j2]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): 828-837 (2007) - 2005
- [j1]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): 191-204 (2005)
Coauthor Index
aka: Francisco Javier Martínez de Pisón
aka: F. Javier Martínez-de-Pisón-Ascacibar
aka: Francisco Javier Martínez de Pisón Ascacíbar
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