Francisco J. Martínez de Pisón Ascacibar

21 papers Misc 3Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
Artificial Intelligence Models for Assessing the Evaluation Process of Complex Student Projects.
IEEE Trans. Learn. Technol.
Jose Divasón, Francisco J. Martínez de Pisón Ascacibar, Ana Romero, Eduardo Sáenz-de-Cabezón
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
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
2019 J jnl
Analysis of Spanish Radiometric Networks with the Novel Bias-Based Quality Control (BQC) Method.
Sensors
Rubén Urraca, Javier Antoñanzas-Torres, Andrés Sanz-García, Francisco J. Martínez de Pisón Ascacibar
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
2016 — conf
Estimation of Daily Global Horizontal Irradiation Using Extreme Gradient Boosting Machines.
SOCO-CISIS-ICEUTE
Rubén Urraca, Javier Antoñanzas, Fernando Antoñanzas-Torres, Francisco J. Martínez de Pisón Ascacibar
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 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
2015 J jnl
Hybrid Modelling of Multilayer Perceptron Ensembles for Predicting the Response of Bolted Lap Joints.
Log. J. IGPL
Julio Fernández-Ceniceros, Fernando Antoñanzas-Torres, Francisco J. Martínez de Pisón Ascacibar, Andrés Sanz-García
2015 Misc conf
Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning.
HAIS
Rubén Urraca, Andrés Sanz-García, Julio Fernández-Ceniceros, Enrique Sodupe-Ortega, Francisco J. Martínez de Pisón Ascacibar
2014 — conf
An Overall Performance Comparative of GA-PARSIMONY Methodology with Regression Algorithms.
SOCO-CISIS-ICEUTE
Rubén Urraca-Valle, Enrique Sodupe-Ortega, Javier Antoñanzas-Torres, Fernando Antoñanzas-Torres, Francisco J. Martínez de Pisón Ascacibar
2012 — conf
Application of Genetic Algorithms to Optimize a Truncated Mean k-Nearest Neighbours Regressor for Hotel Reservation Forecasting.
HAIS (1)
Andrés Sanz-García, Julio Fernández-Ceniceros, Fernando Antoñanzas-Torres, Francisco J. Martínez de Pisón Ascacibar
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
2012 J jnl
Mining association rules from time series to explain failures in a hot-dip galvanizing steel line.
Comput. Ind. Eng.
Francisco J. Martínez de Pisón Ascacibar, Andrés Sanz-García, Eduardo Martínez-de-Pisón, Emilio Jiménez Macías, Dante Conti
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
2010 J jnl
Comparison of models created for the prediction of the mechanical properties of galvanized steel coils.
J. Intell. Manuf.
Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, Ana González-Marcos, I. Ortiz-Marcos
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
2004 J jnl
Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The
Data Min. Knowl. Discov.
Manuel Castejón Limas, Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, Eliseo P. Vergara González