Francisco J. Martínez de Pisón Ascacibar

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 10

Top Topics

Multilayer Perceptron

Genetic Algorithm

Demand Forecasting

Top Venues

SOCO-CISIS-ICEUTE

Appl. Soft Comput.

Publications

Jose Divasón, Francisco J. Martínez de Pisón Ascacibar, Ana Romero, Eduardo Sáenz-de-Cabezón
Artificial Intelligence Models for Assessing the Evaluation Process of Complex Student Projects. IEEE Trans. Learn. Technol. 16 (5) (2023)
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, 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)
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)
Rubén Urraca, Javier Antoñanzas-Torres, Andrés Sanz-García, Francisco J. Martínez de Pisón Ascacibar
Analysis of Spanish Radiometric Networks with the Novel Bias-Based Quality Control (BQC) Method. Sensors 19 (11) (2019)
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)
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)
Rubén Urraca, Javier Antoñanzas, Fernando Antoñanzas-Torres, Francisco J. Martínez de Pisón Ascacibar
Estimation of Daily Global Horizontal Irradiation Using Extreme Gradient Boosting Machines. SOCO-CISIS-ICEUTE (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)
Rubén Urraca, Andrés Sanz-García, Julio Fernández-Ceniceros, Enrique Sodupe-Ortega, 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. 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)
Julio Fernández-Ceniceros, Fernando Antoñanzas-Torres, Francisco J. Martínez de Pisón Ascacibar, Andrés Sanz-García
Hybrid Modelling of Multilayer Perceptron Ensembles for Predicting the Response of Bolted Lap Joints. Log. J. IGPL 23 (3) (2015)
Rubén Urraca-Valle, Enrique Sodupe-Ortega, Javier Antoñanzas-Torres, Fernando Antoñanzas-Torres, Francisco J. Martínez de Pisón Ascacibar
An Overall Performance Comparative of GA-PARSIMONY Methodology with Regression Algorithms. SOCO-CISIS-ICEUTE (2014)
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)
Andrés Sanz-García, Julio Fernández-Ceniceros, Fernando Antoñanzas-Torres, Francisco J. Martínez de Pisón Ascacibar
Application of Genetic Algorithms to Optimize a Truncated Mean k-Nearest Neighbours Regressor for Hotel Reservation Forecasting. HAIS (1) (2012)
Francisco J. Martínez de Pisón Ascacibar, Andrés Sanz-García, Eduardo Martínez-de-Pisón, Emilio Jiménez Macías, Dante Conti
Mining association rules from time series to explain failures in a hot-dip galvanizing steel line. Comput. Ind. Eng. 63 (1) (2012)
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)
Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, Ana González-Marcos, I. Ortiz-Marcos
Comparison of models created for the prediction of the mechanical properties of galvanized steel coils. J. Intell. Manuf. 21 (4) (2010)
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)
Manuel Castejón Limas, Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, Eliseo P. Vergara González
Algorithm. Data Min. Knowl. Discov. 9 (2) (2004)