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ORCIDFrancisco J. Martínez de Pisón Ascacibar
Francisco Javier Martínez de Pisón – F. Javier Martínez-de-Pisón-Ascacibar – Francisco Javier Martínez de Pisón Ascacíbar
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2020 – today
- 2023
[j20]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)- [j19]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) - [j18]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): 694-707 (2023) - [c24]Jose Divasón, Francisco Javier Martínez de Pisón, Ana Romero, Eduardo Sáenz-de-Cabezón:
Robustness Analysis of a Methodology to Detect Biases, Inconsistencies and Discrepancies in the Evaluation Process. CISIS-ICEUTE 2023: 329-339 - [c23]Jose Divasón, Francisco Javier Martínez de Pisón, Ana Romero, Pilar Santolaria, Jesús Yániz:
Varroa Mite Detection Using Deep Learning Techniques. HAIS 2023: 326-337 - [c22]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 - [e8]Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio Corchado:
International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022) - Proceedings, Salamanca, Spain, 5-7 September. Lecture Notes in Networks and Systems 532, Springer 2023, ISBN 978-3-031-18408-6 [contents] - [e7]Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luís Calvo-Rolle, Héctor Quintián, Emilio Corchado:
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) - Proceedings, Salamanca, Spain, 5-7 September, 2023. Lecture Notes in Networks and Systems 748, Springer 2023, ISBN 978-3-031-42518-9 [contents] - [e6]Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luís Calvo-Rolle, Héctor Quintián, Emilio Corchado:
Hybrid Artificial Intelligent Systems - 18th International Conference, HAIS 2023, Salamanca, Spain, September 5-7, 2023, Proceedings. Lecture Notes in Computer Science 14001, Springer 2023, ISBN 978-3-031-40724-6 [contents] - [e5]Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio S. Corchado Rodríguez:
17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) - Salamanca, Spain, September 5-7, 2022, Proceedings. Lecture Notes in Networks and Systems 531, Springer 2023, ISBN 978-3-031-18049-1 [contents] - [e4]Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luís Calvo-Rolle, Héctor Quintián, Emilio Corchado:
18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) - Salamanca, Spain, September 5-7, 2023, Proceedings, Volume 1. Lecture Notes in Networks and Systems 749, Springer 2023, ISBN 978-3-031-42528-8 [contents] - [e3]Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luís Calvo-Rolle, Héctor Quintián, Emilio Corchado:
18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) - Salamanca, Spain, September 5-7, 2023, Proceedings, Volume 2. Lecture Notes in Networks and Systems 750, Springer 2023, ISBN 978-3-031-42535-6 [contents] - 2022
- [j17]Eduardo Dulce-Chamorro, Francisco Javier Martínez de Pisón:
Parsimonious Modelling for Estimating Hospital Cooling Demand to Improve Energy Efficiency. Log. J. IGPL 30(4): 635-648 (2022) - [c21]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 - [c20]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 - [e2]Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio Corchado:
Hybrid Artificial Intelligent Systems - 17th International Conference, HAIS 2022, Salamanca, Spain, September 5-7, 2022, Proceedings. Lecture Notes in Computer Science 13469, Springer 2022, ISBN 978-3-031-15470-6 [contents] - 2021
- [j16]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) - [c19]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 - [c18]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
- [j15]Francisco Javier Martínez de Pisón, Rubén Urraca, Héctor Quintián, Emilio Corchado:
Editorial: Special issue HAIS17-IGPL. Log. J. IGPL 28(2): 151-152 (2020) - [c17]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
- 2019
- [j14]Francisco Javier Martínez de Pisón Ascacíbar, Francisco Herrera, Ajith Abraham, Michal Wozniak, Emilio Corchado:
Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference - Editorial. Neurocomputing 354: 1-2 (2019) - [j13]F. Javier Martínez-de-Pisón-Ascacibar, Ruben Gonzalez-Sendino, Alvaro Aldama, Javier Ferreiro-Cabello, Esteban Fraile-Garcia:
Hybrid methodology based on Bayesian optimization and GA-PARSIMONY to search for parsimony models by combining hyperparameter optimization and feature selection. Neurocomputing 354: 20-26 (2019) - [j12]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): 2483 (2019) - [c16]Eduardo Dulce, Francisco Javier Martínez de Pisón:
Parsimonious Modeling for Estimating Hospital Cooling Demand to Reduce Maintenance Costs and Power Consumption. HAIS 2019: 181-192 - 2018
- [j11]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) - [j10]Rubén Urraca, Enrique Sodupe-Ortega, Javier Antoñanzas-Torres, Fernando Antoñanzas-Torres, F. Javier Martínez-de-Pisón-Ascacibar:
Evaluation of a novel GA-based methodology for model structure selection: The GA-PARSIMONY. Neurocomputing 271: 9-17 (2018) - [c15]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 - [c14]Rubén Urraca, Javier Antoñanzas-Torres, Andrés Sanz-García, Alvaro Aldama, Francisco Javier Martínez de Pisón:
An Algorithm Based on Satellite Observations to Quality Control Ground Solar Sensors: Analysis of Spanish Meteorological Networks. HAIS 2018: 609-621 - 2017
- [j9]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) - [c13]Francisco Javier Martínez de Pisón, Ruben Gonzalez-Sendino, Alvaro Aldama, Javier Ferreiro-Cabello, Esteban Fraile-Garcia:
Hybrid Methodology Based on Bayesian Optimization and GA-PARSIMONY for Searching Parsimony Models by Combining Hyperparameter Optimization and Feature Selection. HAIS 2017: 52-62 - [c12]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 - [e1]Francisco Javier Martínez de Pisón, Rubén Urraca, Héctor Quintián, Emilio Corchado:
Hybrid Artificial Intelligent Systems - 12th International Conference, HAIS 2017, La Rioja, Spain, June 21-23, 2017, Proceedings. Lecture Notes in Computer Science 10334, Springer 2017, ISBN 978-3-319-59649-5 [contents] - 2016
- [j8]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) - [c11]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: 105-113 - [c10]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
- [j7]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) - [j6]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): 451-462 (2015) - [c9]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: 632-643 - 2014
- [c8]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: 53-62 - 2013
- [c7]Andrés Sanz-García, Julio Fernández-Ceniceros, Fernando Antoñanzas-Torres, F. Javier Martínez-de-Pisón-Ascacibar:
Parsimonious Support Vector Machines Modelling for Set Points in Industrial Processes Based on Genetic Algorithm Optimization. SOCO-CISIS-ICEUTE 2013: 1-10 - [c6]Javier Antoñanzas-Torres, Fernando Antoñanzas-Torres, Enrique Sodupe-Ortega, F. Javier Martínez-de-Pisón-Ascacibar:
Optimization of Solar Integration in Combined Cycle Gas Turbines (ISCC). SOCO-CISIS-ICEUTE 2013: 31-40 - [i1]Fernando Antoñanzas-Torres, F. Javier Martínez-de-Pisón-Ascacibar, Javier Antoñanzas, Oscar Perpiñán:
Downscaling of global solar irradiation in R. CoRR abs/1311.7235 (2013) - 2012
- [j5]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): 22-36 (2012) - [j4]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) - [c5]Pablo Guillén, Miguel Argáez, J. Barrera, Leticia Velázquez, Francisco Javier Martínez de Pisón:
Data mining in the process of localization and classification of subcorticals structures. EATIS 2012: 121-125 - [c4]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: 79-90 - [c3]Julio Fernández-Ceniceros, Andrés Sanz-García, Fernando Antoñanzas-Torres, F. Javier Martínez-de-Pisón-Ascacibar:
Multilayer-Perceptron Network Ensemble Modeling with Genetic Algorithms for the Capacity of Bolted Lap Joint. HAIS (1) 2012: 545-556 - 2011
- [c2]Pablo Guillén, Francisco Javier Martínez de Pisón, Reinaldo Sanchez-Arias, Miguel Argáez, Leticia Velázquez:
Characterization of subcortical structures during deep brain stimulation utilizing support vector machines. EMBC 2011: 7949-7952 - [c1]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 - 2010
- [j3]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): 403-421 (2010)
2000 – 2009
- 2005
- [j2]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) - 2004
- [j1]Manuel Castejón Limas, Joaquín B. Ordieres Meré, Francisco J. Martínez de Pisón Ascacibar, Eliseo P. Vergara González:
Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The PAELLA Algorithm. Data Min. Knowl. Discov. 9(2): 171-187 (2004)
Coauthor Index
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