Fernando Sánchez Lasheras
Orcid: 0000-0002-7052-2811
According to our database1,
Fernando Sánchez Lasheras
authored at least 55 papers
between 2008 and 2024.
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Bibliography
2024
2023
Methodology for the projection of population pyramids based on Monte Carlo simulation and genetic algorithms.
Appl. Intell., August, 2023
A support vector regression model for time series forecasting of the COMEX copper spot price.
Log. J. IGPL, July, 2023
Axioms, April, 2023
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
2021
Hybrid algorithm for the classification of prostate cancer patients of the MCC-Spain study based on support vector machines and genetic algorithms.
Neurocomputing, 2021
Time Series Forecasting of Gold Prices with the Help of Its Decomposition and Multivariate Adaptive Regression Splines.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Time Series Analysis for the COMEX Gold Spot Price Forecasting by Using NARX DE/SVR and DE/GPR Techniques.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
2020
Genetic algorithm based on support vector machines for computer vision syndrome classification in health personnel.
Neural Comput. Appl., 2020
A hybrid DE optimized wavelet kernel SVR-based technique for algal atypical proliferation forecast in La Barca reservoir: A case study.
J. Comput. Appl. Math., 2020
Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF-SVM-Based Model.
Int. J. Interact. Multim. Artif. Intell., 2020
Comparative Study of Imputation Algorithms Applied to the Prediction of Student Performance.
Log. J. IGPL, 2020
A Multivariate Approach to Time Series Forecasting of Copper Prices with the Help of Multiple Imputation by Chained Equations and Multivariate Adaptive Regression Splines.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Time Series Analysis for the COMEX Copper Spot Price by Using Support Vector Regression.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
2019
Prediction of Computer Vision Syndrome in Health Personnel by Means of Genetic Algorithms and Binary Regression Trees.
Sensors, 2019
Multiscale Supervised Classification of Point Clouds with Urban and Forest Applications.
Sensors, 2019
A hybrid ARIMA-SVM model for the study of the remaining useful life of aircraft engines.
J. Comput. Appl. Math., 2019
Forecast of the higher heating value in biomass torrefaction by means of machine learning techniques.
J. Comput. Appl. Math., 2019
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
2018
A Hybrid Algorithm for the Assessment of the Influence of Risk Factors in the Development of Upper Limb Musculoskeletal Disorders.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
A Hybrid Algorithm for the Prediction of Computer Vision Syndrome in Health Personnel Based on Trees and Evolutionary Algorithms.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
Classification of Prostate Cancer Patients and Healthy Individuals by Means of a Hybrid Algorithm Combing SVM and Evolutionary Algorithms.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
2017
J. Sensors, 2017
Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions.
J. Comput. Appl. Math., 2017
Genetic Algorithm Based on Support Vector Machines for Computer Vision Syndrome Classification.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
Outcome Prediction for Salivary Gland Cancer Using Multivariate Adaptative Regression Splines (MARS) and Self-Organizing Maps (SOM).
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
2016
A Hybrid Algorithm for Missing Data Imputation and Its Application to Electrical Data Loggers.
Sensors, 2016
Analysing the Performance of a Tomographic Reconstructor with Different Neural Networks Frameworks.
Proceedings of the Intelligent Systems Design and Applications, 2016
Student Performance Prediction Applying Missing Data Imputation in Electrical Engineering Studies Degree.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
2015
A Hybrid PCA-CART-MARS-Based Prognostic Approach of the Remaining Useful Life for Aircraft Engines.
Sensors, 2015
Sensors, 2015
Hybrid PSO-SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability.
Reliab. Eng. Syst. Saf., 2015
2014
Missing Data Imputation of Solar Radiation Data under Different Atmospheric Conditions.
Sensors, 2014
Evolutionary support vector regression algorithm applied to the prediction of the thickness of the chromium layer in a hard chromium plating process.
Appl. Math. Comput., 2014
2013
Survival model in oral squamous cell carcinoma based on clinicopathological parameters, molecular markers and support vector machines.
Expert Syst. Appl., 2013
2012
Determination and study of lead times of metallic components in the aerospace industry through a Cox-type hazard model.
Int. J. Comput. Math., 2012
Comparison of GPS observations made in a forestry setting using functional data analysis.
Int. J. Comput. Math., 2012
A hybrid device for the solution of sampling bias problems in the forecasting of firms' bankruptcy.
Expert Syst. Appl., 2012
Using multivariate adaptive regression splines and multilayer perceptron networks to evaluate paper manufactured using Eucalyptus globulus.
Appl. Math. Comput., 2012
2011
Application of neural networks to the study of the influence of diet and lifestyle on the value of bone mineral density in post-menopausal women.
Math. Comput. Model., 2011
Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS).
Expert Syst. Appl., 2011
Prediction of work-related accidents according to working conditions using support vector machines.
Appl. Math. Comput., 2011
Solvency Assessment in an Unbalanced Sample.
Proceedings of the KMIS 2011, 2011
2010
Artificial neural networks applied to cancer detection in a breast screening programme.
Math. Comput. Model., 2010
The use of design of experiments to improve a neural network model in order to predict the thickness of the chromium layer in a hard chromium plating process.
Math. Comput. Model., 2010
2009
Math. Comput. Model., 2009
A jaw model for the study of the mandibular flexure taking into account the anisotropy of the bone.
Math. Comput. Model., 2009
A new data mining methodology applied to the modelling of the influence of diet and lifestyle on the value of bone mineral density in post-menopausal women.
Int. J. Comput. Math., 2009
2008
Non-linear numerical analysis of a double-threaded titanium alloy dental implant by FEM.
Appl. Math. Comput., 2008