Fernando Sánchez Lasheras

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 35

Top Topics

Missing Data Imputation

Genetic Algorithm

Prostate Cancer

Top Venues

SOCO-CISIS-ICEUTE

J. Comput. Appl. Math.

Publications

Juan Luis González-Santander, Fernando Sánchez Lasheras
A Heuristic Method for Solving Polynomial Matrix Equations. Axioms 13 (4) (2024)
Esperanza García Gonzalo, Paulino José García Nieto, Javier Gracia Rodríguez, Fernando Sánchez Lasheras, Gregorio Fidalgo Valverde
A support vector regression model for time series forecasting of the COMEX copper spot price. Log. J. IGPL 31 (4) (2023)
Pelayo Quirós, Fernando Sánchez Lasheras
Methodology for the projection of population pyramids based on Monte Carlo simulation and genetic algorithms. Appl. Intell. 53 (16) (2023)
Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez Rodríguez, Javier Rodríguez Rodríguez, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
One-Dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets. Axioms 12 (4) (2023)
Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez Rodríguez, Javier Rodríguez Rodríguez, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
One-dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets. CoRR (2023)
Saúl Pérez Fernández, Alejandro Buendía Roca, Carlos González-Gutiérrez, Javier Rodríguez Rodríguez, Santiago Iglesias Álvarez, Ronny Anangonó Tutasig, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
Adaptive Optics Correction Using Recurrent Neural Networks for Wavefront Prediction. SOCO (2) (2023)
Fernando Sánchez Lasheras, Paulino José García Nieto, Esperanza García Gonzalo, Gregorio Fidalgo Valverde, Alicja Krzemien
Time Series Forecasting of Gold Prices with the Help of Its Decomposition and Multivariate Adaptive Regression Splines. SOCO (2021)
Juan Enrique Sánchez Lasheras, Fernando Sánchez Lasheras, Carmen González-Donquiles, Adonina Tardón, Gemma Castaño-Vinyals, Camilo Palazuelos, Dolores Salas, Vicente Martín Sánchez, Francisco Javier de Cos Juez
Hybrid algorithm for the classification of prostate cancer patients of the MCC-Spain study based on support vector machines and genetic algorithms. Neurocomputing 452 (2021)
Esperanza García Gonzalo, Paulino José García Nieto, Gregorio Fidalgo Valverde, Pedro Riesgo Fernández, Fernando Sánchez Lasheras
Time Series Analysis for the COMEX Gold Spot Price Forecasting by Using NARX DE/SVR and DE/GPR Techniques. SOCO (2021)
Eva María Artime Ríos, Ana Suárez Sánchez, Fernando Sánchez Lasheras, María del Mar Seguí Crespo
Genetic algorithm based on support vector machines for computer vision syndrome classification in health personnel. Neural Comput. Appl. 32 (5) (2020)
P. J. García Nieto, Esperanza García Gonzalo, Fernando Sánchez Lasheras, José Ramón Alonso Fernández, Cristina Díaz Muñiz
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. 366 (2020)
Fernando Sánchez Lasheras, Javier Gracia Rodríguez, Paulino José García Nieto, Esperanza García Gonzalo, Gregorio Fidalgo Valverde
A Multivariate Approach to Time Series Forecasting of Copper Prices with the Help of Multiple Imputation by Chained Equations and Multivariate Adaptive Regression Splines. SOCO (2020)
Paulino José García Nieto, Esperanza García Gonzalo, Fernando Sánchez Lasheras, Antonio Bernardo Sánchez
Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF-SVM-Based Model. Int. J. Interact. Multim. Artif. Intell. 6 (4) (2020)
Concepción Crespo-Turrado, José Luís Casteleiro-Roca, Fernando Sánchez Lasheras, José Antonio López-Vázquez, Francisco Javier de Cos Juez, Francisco Javier Perez Castelo, José Luís Calvo-Rolle, Emilio Corchado
Comparative Study of Imputation Algorithms Applied to the Prediction of Student Performance. Log. J. IGPL 28 (1) (2020)
Fernando Sánchez Lasheras, Paulino José García Nieto, Esperanza García Gonzalo, Francisco Argüeso Gómez, Francisco Javier Iglesias-Rodríguez, Ana Suárez Sánchez, Jesús Daniel Santos Rodríguez, María Luisa Sánchez Rodríguez, Joaquín González-Nuevo, Laura Bonavera, Luigi Toffolatti, Susana del Carmen Fernández Menéndez, Francisco Javier de Cos Juez
Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines. HAIS (2020)
Esperanza García Gonzalo, Paulino José García Nieto, Javier Gracia Rodríguez, Fernando Sánchez Lasheras, Gregorio Fidalgo Valverde
Time Series Analysis for the COMEX Copper Spot Price by Using Support Vector Regression. SOCO (2020)
Celestino Ordóñez, Fernando Sánchez Lasheras, Javier Roca-Pardiñas, Francisco Javier de Cos Juez
A hybrid ARIMA-SVM model for the study of the remaining useful life of aircraft engines. J. Comput. Appl. Math. 346 (2019)
P. J. García Nieto, Esperanza García Gonzalo, Fernando Sánchez Lasheras, José Pablo Paredes-Sánchez, P. Riesgo Fernández
Forecast of the higher heating value in biomass torrefaction by means of machine learning techniques. J. Comput. Appl. Math. 357 (2019)
Eva María Artime Ríos, Fernando Sánchez Lasheras, Ana Suárez Sánchez, Francisco Javier Iglesias-Rodríguez, María del Mar Seguí Crespo
Prediction of Computer Vision Syndrome in Health Personnel by Means of Genetic Algorithms and Binary Regression Trees. Sensors 19 (12) (2019)
Carlos Cabo, Celestino Ordóñez, Fernando Sánchez Lasheras, Javier Roca-Pardiñas, Francisco Javier de Cos Juez
Multiscale Supervised Classification of Point Clouds with Urban and Forest Applications. Sensors 19 (20) (2019)
Francisco García Riesgo, Sergio Luis Suárez Gómez, Fernando Sánchez Lasheras, Carlos González-Gutiérrez, Carmen Peñalver San Cristóbal, Francisco Javier de Cos Juez
Convolutional CARMEN: Tomographic Reconstruction for Night Observation. HAIS (2019)
Fernando Sánchez Lasheras, Danilo Comminiello, Alicja Krzemien
Advances in Complex Systems and Their Applications to Cybersecurity. Complex. 2019 (2019)
Fidel Díez Díaz, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez, Vicente Martín Sánchez
Evolutionary Algorithm for Pathways Detection in GWAS Studies. HAIS (2019)
Juan Enrique Sánchez Lasheras, Fernando Sánchez Lasheras, Carmen González-Donquiles, Adonina Tardón, Gemma Castaño Vynals, Beatriz Pérez-Gómez, Camilo Palazuelos, Dolors Sala, Francisco Javier de Cos Juez
Classification of Prostate Cancer Patients and Healthy Individuals by Means of a Hybrid Algorithm Combing SVM and Evolutionary Algorithms. HAIS (2018)
Nélida M. Busto Serrano, Paulino José García Nieto, Ana Suárez Sánchez, Fernando Sánchez Lasheras, Pedro Riesgo Fernández
A Hybrid Algorithm for the Assessment of the Influence of Risk Factors in the Development of Upper Limb Musculoskeletal Disorders. HAIS (2018)
Eva María Artime Ríos, Fernando Sánchez Lasheras, Ana Suárez Sánchez, Francisco Javier Iglesias-Rodríguez, María del Mar Seguí Crespo
A Hybrid Algorithm for the Prediction of Computer Vision Syndrome in Health Personnel Based on Trees and Evolutionary Algorithms. HAIS (2018)
Eva María Artime Ríos, María del Mar Seguí Crespo, Ana Suárez Sánchez, Sergio Luis Suárez Gómez, Fernando Sánchez Lasheras
Genetic Algorithm Based on Support Vector Machines for Computer Vision Syndrome Classification. SOCO-CISIS-ICEUTE (2017)
José Luís Casteleiro-Roca, Esteban Jove, Fernando Sánchez Lasheras, Juan A. Méndez, José Luís Calvo-Rolle, Francisco Javier de Cos Juez
Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation. J. Sensors 2017 (2017)
Celestino Ordóñez Galán, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez, Antonio Bernardo Sánchez
Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions. J. Comput. Appl. Math. 311 (2017)
Carmen González-Donquiles, Fernando Sánchez Lasheras, Jessica Alonso-Molero, Laura Vilorio-Marqués, Tania Fernandez-Villa, Guillermo González Tardón, Antonio José Molina, Vicente Martin
PoDA Algorithm: Predictive Pathways in Colorectal Cancer. SOCO-CISIS-ICEUTE (2017)
Paloma Lequerica-Fernández, Ignacio Peña, Fernando Sánchez Lasheras, Francisco Javier Iglesias-Rodríguez, Carlos González-Gutiérrez, Juan Carlos de Vicente
Outcome Prediction for Salivary Gland Cancer Using Multivariate Adaptative Regression Splines (MARS) and Self-Organizing Maps (SOM). SOCO-CISIS-ICEUTE (2017)
David Álvarez Gutiérrez, Fernando Sánchez Lasheras, Sergio Luis Suárez Gómez, Jesús Daniel Santos Rodríguez, Adonina Tardón, Guillermo González Tardón, Carmen González-Donquiles, Vicente Martín Sánchez
A Multiregressive Approach for SNPs Identification in Prostate Cancer. SOCO-CISIS-ICEUTE (2017)
Sergio Luis Suárez Gómez, Carlos González-Gutiérrez, Jesús Daniel Santos Rodríguez, María Luisa Sánchez Rodríguez, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
Analysing the Performance of a Tomographic Reconstructor with Different Neural Networks Frameworks. ISDA (2016)
Concepción Crespo-Turrado, José Luís Casteleiro-Roca, Fernando Sánchez Lasheras, José Antonio López-Vázquez, Francisco Javier de Cos Juez, José Luís Calvo-Rolle, Emilio Corchado
Student Performance Prediction Applying Missing Data Imputation in Electrical Engineering Studies Degree. HAIS (2016)
Concepción Crespo-Turrado, Fernando Sánchez Lasheras, José Luís Calvo-Rolle, Andrés José Piñón Pazos, Manuel G. Melero, Francisco Javier de Cos Juez
A Hybrid Algorithm for Missing Data Imputation and Its Application to Electrical Data Loggers. Sensors 16 (9) (2016)
Concepción Crespo-Turrado, Fernando Sánchez Lasheras, José Luís Calvo-Rolle, Andrés José Piñón Pazos, Francisco Javier de Cos Juez
A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers. Sensors 15 (12) (2015)
Fernando Sánchez Lasheras, Paulino José García Nieto, Francisco Javier de Cos Juez, Ricardo Mayo Bayón, Víctor Manuel González Suárez
A Hybrid PCA-CART-MARS-Based Prognostic Approach of the Remaining Useful Life for Aircraft Engines. Sensors 15 (3) (2015)
P. J. García Nieto, Esperanza García Gonzalo, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
Hybrid PSO-SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability. Reliab. Eng. Syst. Saf. 138 (2015)
Fernando Sánchez Lasheras, P. J. García Nieto, Francisco Javier de Cos Juez, J. A. Vilán Vilán
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. 227 (2014)
Concepción Crespo-Turrado, María del Carmen Meizoso-López, Fernando Sánchez Lasheras, Benigno Antonio Rodríguez-Gómez, José Luís Calvo-Rolle, Francisco Javier de Cos Juez
Missing Data Imputation of Solar Radiation Data under Different Atmospheric Conditions. Sensors 14 (11) (2014)
Pablo Rosado, Paloma Lequerica-Fernández, Lucas Villallaín, Ignacio Peña, Fernando Sánchez Lasheras, Juan C. de Vicente
Survival model in oral squamous cell carcinoma based on clinicopathological parameters, molecular markers and support vector machines. Expert Syst. Appl. 40 (12) (2013)
C. Ordóñez Galán, Javier Martínez, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras
Comparison of GPS observations made in a forestry setting using functional data analysis. Int. J. Comput. Math. 89 (3) (2012)
Fernando Sánchez Lasheras, Javier de Andrés, Pedro Lorca, Francisco Javier de Cos Juez
A hybrid device for the solution of sampling bias problems in the forecasting of firms' bankruptcy. Expert Syst. Appl. 39 (8) (2012)
Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Ana Suárez Sánchez, P. Riesgo Fernández, P. J. García Nieto
Determination and study of lead times of metallic components in the aerospace industry through a Cox-type hazard model. Int. J. Comput. Math. 89 (13-14) (2012)
P. J. García Nieto, J. Martínez Torres, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras
Using multivariate adaptive regression splines and multilayer perceptron networks to evaluate paper manufactured using Eucalyptus globulus. Appl. Math. Comput. 219 (2) (2012)
Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Nieves Roqueñí Gutiérrez, James Osborn
An ANN-Based Smart Tomographic Reconstructor in a Dynamic Environment. Sensors 12 (7) (2012)
Francisco Javier de Cos Juez, Miguel Ángel Suárez Suárez, Fernando Sánchez Lasheras, A. Murcia-Mazón
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. 54 (7-8) (2011)
Javier de Andrés, Pedro Lorca, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
Solvency Assessment in an Unbalanced Sample. KMIS (2011)
Javier de Andrés, Pedro Lorca, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras
Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS). Expert Syst. Appl. 38 (3) (2011)
Ana Suárez Sánchez, P. Riesgo Fernández, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez, P. J. García Nieto
Prediction of work-related accidents according to working conditions using support vector machines. Appl. Math. Comput. 218 (7) (2011)
Fernando Sánchez Lasheras, J. A. Vilán Vilán, P. J. García Nieto, J. J. del Coz Díaz
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. 52 (7-8) (2010)
L. Álvarez Menéndez, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, J. A. Álvarez Riesgo
Artificial neural networks applied to cancer detection in a breast screening programme. Math. Comput. Model. 52 (7-8) (2010)
Angel Álvarez-Arenal, Fernando Sánchez Lasheras, Elena Martín Fernández, Ignacio González
A jaw model for the study of the mandibular flexure taking into account the anisotropy of the bone. Math. Comput. Model. 50 (5-6) (2009)
Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, C. Ordóñez Galán, P. J. García Nieto
Study of posterolateral lumbar arthrodesis by means of a finite element model. Math. Comput. Model. 50 (5-6) (2009)
Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, P. J. García Nieto, Miguel Ángel Suárez Suárez
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. 86 (10&11) (2009)
Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, P. J. García Nieto, Angel Álvarez-Arenal
Non-linear numerical analysis of a double-threaded titanium alloy dental implant by FEM. Appl. Math. Comput. 206 (2) (2008)