Fernando Sánchez Lasheras

58 papers C 1Misc 7Journal 38Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Predicting TiO2 and FeO Concentrations in Lunar Regolith Using Machine Learning Models: A Spectral Reflectance Approach. IWANN (2) Julia María Fernández-Díaz, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Javier Gracia Rodríguez, Santiago Iglesias Álvarez, Javier Rodríguez Rodríguez, Saúl Pérez, Alejandro Buendía Roca
2024	J	`jnl`	A Heuristic Method for Solving Polynomial Matrix Equations. Axioms Juan Luis González-Santander, Fernando Sánchez Lasheras
2024	—	`conf`	Reconstructing Turbulence-Distorted Wavefronts Through Laser-Beam Profiles. DCAI (4) Alejandro Buendía Roca, Saúl Pérez Fernández, Carlos González-Gutiérrez, Santiago Iglesias Álvarez, Javier Rodríguez Rodríguez, Julia María Fernández-Díaz, Fernando Sánchez Lasheras, Nazim Ali Bharmal, José Luís Calvo-Rolle, Francisco Javier de Cos Juez
2023	J	`jnl`	A support vector regression model for time series forecasting of the COMEX copper spot price. Log. J. IGPL Esperanza García Gonzalo, Paulino José García Nieto, Javier Gracia Rodríguez, Fernando Sánchez Lasheras, Gregorio Fidalgo Valverde
2023	—	`conf`	Adaptive Optics Correction Using Recurrent Neural Networks for Wavefront Prediction. SOCO (2) 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
2023	J	`jnl`	Methodology for the projection of population pyramids based on Monte Carlo simulation and genetic algorithms. Appl. Intell. Pelayo Quirós, Fernando Sánchez Lasheras
2023	J	`jnl`	One-Dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets. Axioms Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez Rodríguez, Javier Rodríguez Rodríguez, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
2023	J	`jnl`	One-dimensional Convolutional Neural Networks for Detecting Transiting Exoplanets. CoRR Santiago Iglesias Álvarez, Enrique Díez Alonso, María Luisa Sánchez Rodríguez, Javier Rodríguez Rodríguez, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
2021	J	`jnl`	Hybrid algorithm for the classification of prostate cancer patients of the MCC-Spain study based on support vector machines and genetic algorithms. Neurocomputing 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
2021	—	`conf`	Time Series Analysis for the COMEX Gold Spot Price Forecasting by Using NARX DE/SVR and DE/GPR Techniques. SOCO Esperanza García Gonzalo, Paulino José García Nieto, Gregorio Fidalgo Valverde, Pedro Riesgo Fernández, Fernando Sánchez Lasheras
2021	—	`conf`	Time Series Forecasting of Gold Prices with the Help of Its Decomposition and Multivariate Adaptive Regression Splines. SOCO Fernando Sánchez Lasheras, Paulino José García Nieto, Esperanza García Gonzalo, Gregorio Fidalgo Valverde, Alicja Krzemien
2020	—	`conf`	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 Fernando Sánchez Lasheras, Javier Gracia Rodríguez, Paulino José García Nieto, Esperanza García Gonzalo, Gregorio Fidalgo Valverde
2020	J	`jnl`	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. P. J. García Nieto, Esperanza García Gonzalo, Fernando Sánchez Lasheras, José Ramón Alonso Fernández, Cristina Díaz Muñiz
2020	J	`jnl`	Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF-SVM-Based Model. Int. J. Interact. Multim. Artif. Intell. Paulino José García Nieto, Esperanza García Gonzalo, Fernando Sánchez Lasheras, Antonio Bernardo Sánchez
2020	J	`jnl`	Comparative Study of Imputation Algorithms Applied to the Prediction of Student Performance. Log. J. IGPL 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
2020	J	`jnl`	Genetic algorithm based on support vector machines for computer vision syndrome classification in health personnel. Neural Comput. Appl. Eva María Artime Ríos, Ana Suárez Sánchez, Fernando Sánchez Lasheras, María del Mar Seguí Crespo
2020	Misc	`conf`	Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines. HAIS 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
2020	—	`conf`	Time Series Analysis for the COMEX Copper Spot Price by Using Support Vector Regression. SOCO Esperanza García Gonzalo, Paulino José García Nieto, Javier Gracia Rodríguez, Fernando Sánchez Lasheras, Gregorio Fidalgo Valverde
2019	J	`jnl`	A hybrid ARIMA-SVM model for the study of the remaining useful life of aircraft engines. J. Comput. Appl. Math. Celestino Ordóñez, Fernando Sánchez Lasheras, Javier Roca-Pardiñas, Francisco Javier de Cos Juez
2019	J	`jnl`	Advances in Complex Systems and Their Applications to Cybersecurity. Complex. Fernando Sánchez Lasheras, Danilo Comminiello, Alicja Krzemien
2019	Misc	`conf`	Convolutional CARMEN: Tomographic Reconstruction for Night Observation. HAIS Francisco García Riesgo, Sergio Luis Suárez Gómez, Fernando Sánchez Lasheras, Carlos González-Gutiérrez, Carmen Peñalver San Cristóbal, Francisco Javier de Cos Juez
2019	Misc	`conf`	Evolutionary Algorithm for Pathways Detection in GWAS Studies. HAIS Fidel Díez Díaz, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez, Vicente Martín Sánchez
2019	J	`jnl`	Forecast of the higher heating value in biomass torrefaction by means of machine learning techniques. J. Comput. Appl. Math. P. J. García Nieto, Esperanza García Gonzalo, Fernando Sánchez Lasheras, José Pablo Paredes-Sánchez, P. Riesgo Fernández
2019	J	`jnl`	Multiscale Supervised Classification of Point Clouds with Urban and Forest Applications. Sensors Carlos Cabo, Celestino Ordóñez, Fernando Sánchez Lasheras, Javier Roca-Pardiñas, Francisco Javier de Cos Juez
2019	J	`jnl`	Prediction of Computer Vision Syndrome in Health Personnel by Means of Genetic Algorithms and Binary Regression Trees. Sensors Eva María Artime Ríos, Fernando Sánchez Lasheras, Ana Suárez Sánchez, Francisco Javier Iglesias-Rodríguez, María del Mar Seguí Crespo
2018	Misc	`conf`	A Hybrid Algorithm for the Assessment of the Influence of Risk Factors in the Development of Upper Limb Musculoskeletal Disorders. HAIS Nélida M. Busto Serrano, Paulino José García Nieto, Ana Suárez Sánchez, Fernando Sánchez Lasheras, Pedro Riesgo Fernández
2018	Misc	`conf`	A Hybrid Algorithm for the Prediction of Computer Vision Syndrome in Health Personnel Based on Trees and Evolutionary Algorithms. HAIS Eva María Artime Ríos, Fernando Sánchez Lasheras, Ana Suárez Sánchez, Francisco Javier Iglesias-Rodríguez, María del Mar Seguí Crespo
2018	Misc	`conf`	Classification of Prostate Cancer Patients and Healthy Individuals by Means of a Hybrid Algorithm Combing SVM and Evolutionary Algorithms. HAIS 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
2017	—	`conf`	A Multiregressive Approach for SNPs Identification in Prostate Cancer. SOCO-CISIS-ICEUTE 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
2017	—	`conf`	Genetic Algorithm Based on Support Vector Machines for Computer Vision Syndrome Classification. SOCO-CISIS-ICEUTE Eva María Artime Ríos, María del Mar Seguí Crespo, Ana Suárez Sánchez, Sergio Luis Suárez Gómez, Fernando Sánchez Lasheras
2017	J	`jnl`	Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions. J. Comput. Appl. Math. Celestino Ordóñez Galán, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez, Antonio Bernardo Sánchez
2017	—	`conf`	Outcome Prediction for Salivary Gland Cancer Using Multivariate Adaptative Regression Splines (MARS) and Self-Organizing Maps (SOM). SOCO-CISIS-ICEUTE Paloma Lequerica-Fernández, Ignacio Peña, Fernando Sánchez Lasheras, Francisco Javier Iglesias-Rodríguez, Carlos González-Gutiérrez, Juan Carlos de Vicente
2017	—	`conf`	PoDA Algorithm: Predictive Pathways in Colorectal Cancer. SOCO-CISIS-ICEUTE Carmen González-Donquiles, Fernando Sánchez Lasheras, Jessica Alonso-Molero, Laura Vilorio-Marqués, Tania Fernández-Villa, Guillermo González Tardón, Antonio José Molina, Vicente Martín
2017	J	`jnl`	Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation. J. Sensors José Luís Casteleiro-Roca, Esteban Jove, Fernando Sánchez Lasheras, Juan A. Méndez, José Luís Calvo-Rolle, Francisco Javier de Cos Juez
2016	J	`jnl`	A Hybrid Algorithm for Missing Data Imputation and Its Application to Electrical Data Loggers. Sensors Concepción Crespo-Turrado, Fernando Sánchez Lasheras, José Luís Calvo-Rolle, Andrés José Piñón Pazos, Manuel G. Melero, Francisco Javier de Cos Juez
2016	C	`conf`	Analysing the Performance of a Tomographic Reconstructor with Different Neural Networks Frameworks. ISDA Sergio Luis Suárez Gómez, Carlos González-Gutiérrez, Jesús Daniel Santos Rodríguez, María Luisa Sánchez Rodríguez, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
2016	Misc	`conf`	Student Performance Prediction Applying Missing Data Imputation in Electrical Engineering Studies Degree. HAIS 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
2015	J	`jnl`	A Hybrid PCA-CART-MARS-Based Prognostic Approach of the Remaining Useful Life for Aircraft Engines. Sensors Fernando Sánchez Lasheras, Paulino José García Nieto, Francisco Javier de Cos Juez, Ricardo Mayo Bayón, Víctor Manuel González Suárez
2015	J	`jnl`	A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers. Sensors Concepción Crespo-Turrado, Fernando Sánchez Lasheras, José Luís Calvo-Rolle, Andrés José Piñón Pazos, Francisco Javier de Cos Juez
2015	J	`jnl`	Hybrid PSO-SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability. Reliab. Eng. Syst. Saf. P. J. García Nieto, Esperanza García Gonzalo, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
2014	J	`jnl`	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. Fernando Sánchez Lasheras, P. J. García Nieto, Francisco Javier de Cos Juez, J. A. Vilán Vilán
2014	J	`jnl`	Missing Data Imputation of Solar Radiation Data under Different Atmospheric Conditions. Sensors Concepción Crespo-Turrado, María del Carmen Meizoso-López, Fernando Sánchez Lasheras, Benigno Antonio Rodríguez-Gómez, José Luís Calvo-Rolle, Francisco Javier de Cos Juez
2013	J	`jnl`	Survival model in oral squamous cell carcinoma based on clinicopathological parameters, molecular markers and support vector machines. Expert Syst. Appl. Pablo Rosado, Paloma Lequerica-Fernández, Lucas Villallaín, Ignacio Peña, Fernando Sánchez Lasheras, Juan C. de Vicente
2012	J	`jnl`	A hybrid device for the solution of sampling bias problems in the forecasting of firms' bankruptcy. Expert Syst. Appl. Fernando Sánchez Lasheras, Javier de Andrés, Pedro Lorca, Francisco Javier de Cos Juez
2012	J	`jnl`	An ANN-Based Smart Tomographic Reconstructor in a Dynamic Environment. Sensors Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Nieves Roqueñí Gutiérrez, James Osborn
2012	J	`jnl`	Comparison of GPS observations made in a forestry setting using functional data analysis. Int. J. Comput. Math. C. Ordóñez Galán, Javier Martínez, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras
2012	J	`jnl`	Determination and study of lead times of metallic components in the aerospace industry through a Cox-type hazard model. Int. J. Comput. Math. Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, Ana Suárez Sánchez, P. Riesgo Fernández, P. J. García Nieto
2012	J	`jnl`	Using multivariate adaptive regression splines and multilayer perceptron networks to evaluate paper manufactured using Eucalyptus globulus. Appl. Math. Comput. P. J. García Nieto, J. Martínez Torres, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras
2011	J	`jnl`	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. Francisco Javier de Cos Juez, Miguel Ángel Suárez Suárez, Fernando Sánchez Lasheras, A. Murcia-Mazón
2011	J	`jnl`	Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS). Expert Syst. Appl. Javier de Andrés, Pedro Lorca, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras
2011	J	`jnl`	Prediction of work-related accidents according to working conditions using support vector machines. Appl. Math. Comput. Ana Suárez Sánchez, P. Riesgo Fernández, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez, P. J. García Nieto
2011	—	`conf`	Solvency Assessment in an Unbalanced Sample. KMIS Javier de Andrés, Pedro Lorca, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez
2010	J	`jnl`	Artificial neural networks applied to cancer detection in a breast screening programme. Math. Comput. Model. Leticia Álvarez Menéndez, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, José Antonio Álvarez Riesgo
2010	J	`jnl`	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. Fernando Sánchez Lasheras, J. A. Vilán Vilán, P. J. García Nieto, J. J. del Coz Díaz
2009	J	`jnl`	A jaw model for the study of the mandibular flexure taking into account the anisotropy of the bone. Math. Comput. Model. Angel Álvarez-Arenal, Fernando Sánchez Lasheras, Elena Martín Fernández, Ignacio González
2009	J	`jnl`	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. Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, P. J. García Nieto, Miguel Ángel Suárez Suárez
2009	J	`jnl`	Study of posterolateral lumbar arthrodesis by means of a finite element model. Math. Comput. Model. Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, C. Ordóñez Galán, P. J. García Nieto
2008	J	`jnl`	Non-linear numerical analysis of a double-threaded titanium alloy dental implant by FEM. Appl. Math. Comput. Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, P. J. García Nieto, Angel Álvarez-Arenal