Fernando Sánchez Lasheras

发表

A Multivariate Approach to Time Series Forecasting of Copper Prices with the Help of Multiple Imputation by Chained Equations and Multivariate Adaptive Regression Splines

P. J. García Nieto, Esperanza García Gonzalo, Fernando Sánchez Lasheras, 2020, SOCO.

Prediction of Computer Vision Syndrome in Health Personnel by Means of Genetic Algorithms and Binary Regression Trees †

Fernando Sánchez Lasheras, Eva María Artime Ríos, Ana Suárez Sánchez, 2019, Sensors.

Comparative Study of Imputation Algorithms Applied to the Prediction of Student Performance

José Antonio López-Vázquez, José Luís Casteleiro-Roca, José Luís Calvo-Rolle, 2020, Log. J. IGPL.

Solvency Assessment in an Unbalanced Sample

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Javier de Andrés, 2011, KMIS.

Time Series Analysis for the COMEX Copper Spot Price by Using Support Vector Regression

P. J. García Nieto, Esperanza García Gonzalo, P. J. García Nieto, 2020, SOCO.

Advances in Complex Systems and Their Applications to Cybersecurity

Danilo Comminiello, Fernando Sánchez Lasheras, Alicja Krzemien, 2019, Complex..

Hybrid PSO-SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability

P. J. García Nieto, Esperanza García Gonzalo, Francisco Javier de Cos Juez, 2015, Reliab. Eng. Syst. Saf..

Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF-SVM-Based Model

Esperanza García Gonzalo, Fernando Sánchez Lasheras, Antonio Bernardo Sánchez, 2020, Int. J. Interact. Multim. Artif. Intell..

Study of posterolateral lumbar arthrodesis by means of a finite element model

P. J. García Nieto, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2009, Math. Comput. Model..

Classification of Prostate Cancer Patients and Healthy Individuals by Means of a Hybrid Algorithm Combing SVM and Evolutionary Algorithms

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Dolors Sala, 2018, HAIS.

Determination and study of lead times of metallic components in the aerospace industry through a Cox-type hazard model

P. J. García Nieto, Francisco Javier de Cos Juez, P. J. García Nieto, 2012, Int. J. Comput. Math..

Genetic algorithm based on support vector machines for computer vision syndrome classification in health personnel

Fernando Sánchez Lasheras, Eva María Artime Ríos, Ana Suárez Sánchez, 2020, Neural Comput. Appl..

Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS)

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Javier de Andrés, 2011, Expert Syst. Appl..

A Hybrid Algorithm for Missing Data Imputation and Its Application to Electrical Data Loggers

José Luís Calvo-Rolle, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2016, Sensors.

Outcome Prediction for Salivary Gland Cancer Using Multivariate Adaptative Regression Splines (MARS) and Self-Organizing Maps (SOM)

Fernando Sánchez Lasheras, Carlos González-Gutiérrez, Francisco Javier Iglesias-Rodríguez, 2017, SOCO-CISIS-ICEUTE.

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

P. J. García Nieto, Fernando Sánchez Lasheras, J. J. del Coz Díaz, 2010, Math. Comput. Model..

Evolutionary support vector regression algorithm applied to the prediction of the thickness of the chromium layer in a hard chromium plating process

P. J. García Nieto, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2014, Appl. Math. Comput..

Identification of frequent touristic routes using the SMoT algorithm

Fernando Sánchez Lasheras, Francisco Moreno, Eduardo Restrepo, 2013 .

An ANN-Based Smart Tomographic Reconstructor in a Dynamic Environment

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Nieves Roqueñí Gutiérrez, 2012, Sensors.

Prediction of work-related accidents according to working conditions using support vector machines

P. J. García Nieto, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2011, Appl. Math. Comput..

A hybrid ARIMA-SVM model for the study of the remaining useful life of aircraft engines

Francisco Javier de Cos Juez, Javier Roca-Pardiñas, Fernando Sánchez Lasheras, 2019, J. Comput. Appl. Math..

Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation

José Luís Casteleiro-Roca, Esteban Jove, José Luís Calvo-Rolle, 2017, J. Sensors.

A Hybrid Algorithm for the Prediction of Computer Vision Syndrome in Health Personnel Based on Trees and Evolutionary Algorithms

Fernando Sánchez Lasheras, Eva María Artime Ríos, Ana Suárez Sánchez, 2018, HAIS.

Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines

P. J. García Nieto, Esperanza García Gonzalo, Francisco Javier de Cos Juez, 2020, HAIS.

A Hybrid PCA-CART-MARS-Based Prognostic Approach of the Remaining Useful Life for Aircraft Engines

P. J. García Nieto, Víctor M. González Suárez, Ricardo Mayo Bayón, 2015, Sensors.

Forecast of the higher heating value in biomass torrefaction by means of machine learning techniques

P. J. García Nieto, Esperanza García Gonzalo, J. P. Paredes-Sánchez, 2019, J. Comput. Appl. Math..

A Parametric Model of the LARCODEMS Heavy Media Separator by Means of Multivariate Adaptive Regression Splines

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Mario Menéndez Álvarez, 2017, Materials.

Using multivariate adaptive regression splines and multilayer perceptron networks to evaluate paper manufactured using Eucalyptus globulus

P. J. García Nieto, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2012, Appl. Math. Comput..

A hybrid DE optimized wavelet kernel SVR-based technique for algal atypical proliferation forecast in La Barca reservoir: A case study

P. J. García Nieto, J. R. Alonso Fernández, C. Díaz Muñiz, 2020, J. Comput. Appl. Math..

Evolutionary Algorithm for Pathways Detection in GWAS Studies

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Vicente Martín Sánchez, 2019, HAIS.

Non-linear numerical analysis of a double-threaded titanium alloy dental implant by FEM

P. J. García Nieto, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2008, Appl. Math. Comput..

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

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, M. A. Suárez Suárez, 2011, Math. Comput. Model..

Different methodologies to explain the Gaussian method and its variant

Fernando Sánchez Lasheras, Manuel José Fernández Gutiérrez, Pablo Pérez Riera, 2018 .

A Multiregressive Approach for SNPs Identification in Prostate Cancer

Fernando Sánchez Lasheras, Vicente Martín Sánchez, Jesús Daniel Santos Rodríguez, 2017, SOCO-CISIS-ICEUTE.

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

P. J. García Nieto, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2009, Int. J. Comput. Math..

Genetic Algorithm Based on Support Vector Machines for Computer Vision Syndrome Classification

Fernando Sánchez Lasheras, Eva María Artime Ríos, Ana Suárez Sánchez, 2017, SOCO-CISIS-ICEUTE.

Missing Data Imputation of Solar Radiation Data under Different Atmospheric Conditions

José Luís Calvo-Rolle, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2014, Sensors.

Artificial neural networks applied to cancer detection in a breast screening programme

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, L. Álvarez Menéndez, 2010, Math. Comput. Model..

A jaw model for the study of the mandibular flexure taking into account the anisotropy of the bone

Ignacio González, Fernando Sánchez Lasheras, Angel Álvarez-Arenal, 2009, Math. Comput. Model..

A hybrid device for the solution of sampling bias problems in the forecasting of firms' bankruptcy

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Javier de Andrés, 2012, Expert Syst. Appl..

Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, C. Ordóñez Galán, 2017, J. Comput. Appl. Math..

Convolutional CARMEN: Tomographic Reconstruction for Night Observation

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Carlos González-Gutiérrez, 2019, HAIS.

PoDA Algorithm: Predictive Pathways in Colorectal Cancer

Fernando Sánchez Lasheras, Vicente Martin, Carmen González-Donquiles, 2017, SOCO-CISIS-ICEUTE.

A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers

José Luís Calvo-Rolle, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, 2015, Sensors.

Comparison of GPS observations made in a forestry setting using functional data analysis

Francisco Javier de Cos Juez, Javier Martínez, Fernando Sánchez Lasheras, 2012, Int. J. Comput. Math..

Student Performance Prediction Applying Missing Data Imputation in Electrical Engineering Studies Degree

José Antonio López-Vázquez, José Luís Casteleiro-Roca, José Luís Calvo-Rolle, 2016, HAIS.

LEARNING REINFORCEMENT IN NUMERICAL ANALYSIS BY MEANS OF FLIPPED CLASSROOM

Fernando Sánchez Lasheras, 2019 .

Analysing the Performance of a Tomographic Reconstructor with Different Neural Networks Frameworks

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Carlos González-Gutiérrez, 2016, ISDA.

Time Series Forecasting of Gold Prices with the Help of Its Decomposition and Multivariate Adaptive Regression Splines

P. J. García Nieto, Esperanza García Gonzalo, Fernando Sánchez Lasheras, 2021, SOCO.

Time Series Analysis for the COMEX Gold Spot Price Forecasting by Using NARX DE/SVR and DE/GPR Techniques

P. J. García Nieto, Esperanza García Gonzalo, Fernando Sánchez Lasheras, 2021, SOCO.

Deformable mirror model for open-loop adaptive optics using multivariate adaptive regression splines.

Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Richard Myers, 2010, Optics express.