Francisco J. Martínez de Pisón Ascacibar
Orcid: 0000-0002-3063-7374
According to our database1,
Francisco J. Martínez de Pisón Ascacibar
authored at least 45 papers
between 2004 and 2023.
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Bibliography
2023
HYB-PARSIMONY: A hybrid approach combining Particle Swarm Optimization and Genetic Algorithms to find parsimonious models in high-dimensional datasets.
Neurocomputing, December, 2023
Artificial Intelligence Models for Assessing the Evaluation Process of Complex Student Projects.
IEEE Trans. Learn. Technol., October, 2023
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, 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
Robustness Analysis of a Methodology to Detect Biases, Inconsistencies and Discrepancies in the Evaluation Process.
Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023
2022
Parsimonious Modelling for Estimating Hospital Cooling Demand to Improve Energy Efficiency.
Log. J. IGPL, 2022
Work-in-Progress: Building Up Employability Skills and Social Responsibility in the University of La Rioja Industrial Engineering Degrees.
Proceedings of the Learning in the Age of Digital and Green Transition, 2022
New Hybrid Methodology Based on Particle Swarm Optimization with Genetic Algorithms to Improve the Search of Parsimonious Models in High-Dimensional Databases.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022
2021
A comparative study of six model complexity metrics to search for parsimonious models with GAparsimony R Package.
Neurocomputing, 2021
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.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021
Proceedings of the IEEE Global Engineering Education Conference, 2021
2020
Technical projects with social commitment for teaching-learning intervention in STEM students.
Proceedings of the 2020 IEEE Global Engineering Education Conference, 2020
2019
Analysis of Spanish Radiometric Networks with the Novel Bias-Based Quality Control (BQC) Method.
Sensors, 2019
Hybrid methodology based on Bayesian optimization and GA-PARSIMONY to search for parsimony models by combining hyperparameter optimization and feature selection.
Neurocomputing, 2019
Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference - Editorial.
Neurocomputing, 2019
Parsimonious Modeling for Estimating Hospital Cooling Demand to Reduce Maintenance Costs and Power Consumption.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
2018
Evaluation of a novel GA-based methodology for model structure selection: The GA-PARSIMONY.
Neurocomputing, 2018
Stacking ensemble with parsimonious base models to improve generalization capability in the characterization of steel bolted components.
Appl. Soft Comput., 2018
An Algorithm Based on Satellite Observations to Quality Control Ground Solar Sensors: Analysis of Spanish Meteorological Networks.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
GAparsimony: An R Package for Searching Parsimonious Models by Combining Hyperparameter Optimization and Feature Selection.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
2017
Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning.
Log. J. IGPL, 2017
Hybrid Methodology Based on Bayesian Optimization and GA-PARSIMONY for Searching Parsimony Models by Combining Hyperparameter Optimization and Feature Selection.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017
2016
Hotel Reservation Forecasting Using Flexible Soft Computing Techniques: A Case of Study in a Spanish Hotel.
Int. J. Inf. Technol. Decis. Mak., 2016
Estimation of Daily Global Horizontal Irradiation Using Extreme Gradient Boosting Machines.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016
Searching Parsimonious Solutions with GA-PARSIMONY and XGBoost in High-Dimensional Databases.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016
2015
Hybrid Modelling of Multilayer Perceptron Ensembles for Predicting the Response of Bolted Lap Joints.
Log. J. IGPL, 2015
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., 2015
Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015
2014
An Overall Performance Comparative of GA-PARSIMONY Methodology with Regression Algorithms.
Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014
2013
Parsimonious Support Vector Machines Modelling for Set Points in Industrial Processes Based on Genetic Algorithm Optimization.
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013
2012
Combining genetic algorithms and the finite element method to improve steel industrial processes.
J. Appl. Log., 2012
Mining association rules from time series to explain failures in a hot-dip galvanizing steel line.
Comput. Ind. Eng., 2012
Application of Genetic Algorithms to Optimize a Truncated Mean k-Nearest Neighbours Regressor for Hotel Reservation Forecasting.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
Multilayer-Perceptron Network Ensemble Modeling with Genetic Algorithms for the Capacity of Bolted Lap Joint.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
Data mining in the process of localization and classification of subcorticals structures.
Proceedings of the Euro-American Conference on Telematics and Information Systems, 2012
2011
Improving Steel Industrial Processes Using Genetic Algorithms and Finite Element Method.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011
Characterization of subcortical structures during deep brain stimulation utilizing support vector machines.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Comparison of models created for the prediction of the mechanical properties of galvanized steel coils.
J. Intell. Manuf., 2010
2005
2004
Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The <i>PAELLA</i> Algorithm.
Data Min. Knowl. Discov., 2004