Fernando Sánchez Lasheras

Orcid: 0000-0002-7052-2811

According to our database1, Fernando Sánchez Lasheras authored at least 55 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Heuristic Method for Solving Polynomial Matrix Equations.
Axioms, April, 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

One-Dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets.
Axioms, April, 2023

Adaptive Optics Correction Using Recurrent Neural Networks for Wavefront Prediction.
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


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

Advances in Complex Systems and Their Applications to Cybersecurity.
Complex., 2019

Convolutional CARMEN: Tomographic Reconstruction for Night Observation.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

Evolutionary Algorithm for Pathways Detection in GWAS Studies.
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
Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation.
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

A Multiregressive Approach for SNPs Identification in Prostate Cancer.
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017

PoDA Algorithm: Predictive Pathways in Colorectal Cancer.
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

A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers.
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
An ANN-Based Smart Tomographic Reconstructor in a Dynamic Environment.
Sensors, 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
Study of posterolateral lumbar arthrodesis by means of a finite element model.
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


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