Francisco J. Martínez de Pisón Ascacibar

发表

Analysis of Spanish Radiometric Networks with the Novel Bias-Based Quality Control (BQC) Method

Rubén Urraca, Javier Antoñanzas-Torres, Andrés Sanz-García, 2019, Sensors.

Downscaling of global solar irradiation in R pdf

Francisco J. Martínez de Pisón Ascacibar, Fernando Antoñanzas-Torres, Javier Antoñanzas, 2013, ArXiv.

Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The PAELLA Algorithm

Manuel Castejón Limas, Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, 2004, Data Mining and Knowledge Discovery.

Hybrid methodology based on Bayesian optimization and GA-PARSIMONY to search for parsimony models by combining hyperparameter optimization and feature selection

Alvaro Aldama, Francisco J. Martínez de Pisón Ascacibar, Javier Ferreiro-Cabello, 2019, Neurocomputing.

TAO-robust backpropagation learning algorithm

Ana González-Marcos, Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, 2005, Neural Networks.

Hybrid Modelling of Multilayer Perceptron Ensembles for Predicting the Response of Bolted Lap Joints

Andrés Sanz-García, Francisco J. Martínez de Pisón Ascacibar, Fernando Antoñanzas-Torres, 2015, Log. J. IGPL.

Estimation of Daily Global Horizontal Irradiation Using Extreme Gradient Boosting Machines

Rubén Urraca, Francisco J. Martínez de Pisón Ascacibar, Fernando Antoñanzas-Torres, 2016, SOCO-CISIS-ICEUTE.

Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning

Rubén Urraca, Andrés Sanz-García, Francisco J. Martínez de Pisón Ascacibar, 2015, HAIS.

An Overall Performance Comparative of GA-PARSIMONY Methodology with Regression Algorithms

Javier Antoñanzas-Torres, Francisco J. Martínez de Pisón Ascacibar, Ruben Urraca-Valle, 2014, SOCO-CISIS-ICEUTE.

Parsimonious Support Vector Machines Modelling for Set Points in Industrial Processes Based on Genetic Algorithm Optimization

Andrés Sanz-García, Francisco J. Martínez de Pisón Ascacibar, Fernando Antoñanzas-Torres, 2013, SOCO-CISIS-ICEUTE.

Optimization of Solar Integration in Combined Cycle Gas Turbines (ISCC)

Javier Antoñanzas-Torres, Francisco J. Martínez de Pisón Ascacibar, Enrique Sodupe-Ortega, 2013, SOCO-CISIS-ICEUTE.

Improving Steel Industrial Processes Using Genetic Algorithms and Finite Element Method

Andrés Sanz-García, Francisco J. Martínez de Pisón Ascacibar, Alpha V. Pernía-Espinoza, 2011, SOCO.

Combining genetic algorithms and the finite element method to improve steel industrial processes

Andrés Sanz-García, Francisco J. Martínez de Pisón Ascacibar, Alpha V. Pernía-Espinoza, 2012, J. Appl. Log..

Multilayer-Perceptron Network Ensemble Modeling with Genetic Algorithms for the Capacity of Bolted Lap Joint

Andrés Sanz-García, Francisco J. Martínez de Pisón Ascacibar, Fernando Antoñanzas-Torres, 2012, HAIS.

Hotel Reservation Forecasting Using Flexible Soft Computing Techniques: A Case of Study in a Spanish Hotel

Andrés Sanz-García, Francisco J. Martínez de Pisón Ascacibar, Alpha V. Pernía-Espinoza, 2016, Int. J. Inf. Technol. Decis. Mak..

Mining association rules from time series to explain failures in a hot-dip galvanizing steel line

Emilio Jiménez Macías, Andrés Sanz-García, Francisco J. Martínez de Pisón Ascacibar, 2012, Comput. Ind. Eng..

Stacking ensemble with parsimonious base models to improve generalization capability in the characterization of steel bolted components

Rubén Urraca, Javier Antoñanzas-Torres, Francisco J. Martínez de Pisón Ascacibar, 2018, Appl. Soft Comput..

Comparison of models created for the prediction of the mechanical properties of galvanized steel coils

Ana González-Marcos, Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, 2010, Journal of Intelligent Manufacturing.

Evaluation of a novel GA-based methodology for model structure selection: The GA-PARSIMONY

Rubén Urraca, Javier Antoñanzas-Torres, Francisco J. Martínez de Pisón Ascacibar, 2018, Neurocomputing.

Searching Parsimonious Solutions with GA-PARSIMONY and XGBoost in High-Dimensional Databases

Francisco J. Martínez de Pisón Ascacibar, Alpha V. Pernía-Espinoza, Javier Ferreiro-Cabello, 2016, SOCO-CISIS-ICEUTE.

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

Andrés Sanz-García, Francisco J. Martínez de Pisón Ascacibar, Alpha V. Pernía-Espinoza, 2015, Appl. Soft Comput..

Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning

Rubén Urraca, Andrés Sanz-García, Francisco J. Martínez de Pisón Ascacibar, 2017, Log. J. IGPL.

Application of Genetic Algorithms to Optimize a Truncated Mean k-Nearest Neighbours Regressor for Hotel Reservation Forecasting

Andrés Sanz-García, Francisco J. Martínez de Pisón Ascacibar, Fernando Antoñanzas-Torres, 2012, HAIS.

Active learning methodologies in STEM degrees jeopardized by COVID19

Andrés Sanz-García, Francisco J. Martínez de Pisón Ascacibar, Fermín Navaridas-Nalda, 2021, 2021 IEEE Global Engineering Education Conference (EDUCON).