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ORCIDFernando Sánchez Lasheras
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2020 – today
- 2024
[j37]Juan Luis González-Santander
, Fernando Sánchez Lasheras:
A Heuristic Method for Solving Polynomial Matrix Equations. Axioms 13(4): 239 (2024)- 2023
- [j36]Pelayo Quirós, Fernando Sánchez Lasheras:
Methodology for the projection of population pyramids based on Monte Carlo simulation and genetic algorithms. Appl. Intell. 53(16): 18989-19006 (2023) - [j35]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): 348 (2023) - [j34]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): 775-784 (2023) - [c18]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: 354-363 - [i1]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 abs/2312.07161 (2023) - 2021
- [j33]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: 386-394 (2021) - [c17]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: 135-144 - [c16]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: 145-154 - 2020
- [j32]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): 58-70 (2020) - [j31]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): 39-48 (2020) - [j30]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) - [j29]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): 1239-1248 (2020) - [c15]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: 73-85 - [c14]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: 691-701 - [c13]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: 702-708
2010 – 2019
- 2019
- [j28]Fernando Sánchez Lasheras, Danilo Comminiello, Alicja Krzemien:
Advances in Complex Systems and Their Applications to Cybersecurity. Complex. 2019: 3261453:1-3261453:2 (2019) - [j27]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: 184-191 (2019) - [j26]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: 284-301 (2019) - [j25]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): 2800 (2019) - [j24]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): 4523 (2019) - [c12]Fidel Díez Díaz, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez, Vicente Martín Sánchez:
Evolutionary Algorithm for Pathways Detection in GWAS Studies. HAIS 2019: 111-122 - [c11]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: 335-345 - 2018
- [c10]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: 547-557 - [c9]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: 597-608 - [c8]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: 634-646 - 2017
- [j23]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: 704-717 (2017) - [j22]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: 9640546:1-9640546:10 (2017) - [c7]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: 361-370 - [c6]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: 381-390 - [c5]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: 400-409 - [c4]Carmen González-Donquiles, Fernando Sánchez Lasheras, Jessica Alonso-Molero, Laura Vilorio-Marqués, Tania Fernández-Villa, Guillermo González Tardón, Antonio José Molina, Vicente Martín:
PoDA Algorithm: Predictive Pathways in Colorectal Cancer. SOCO-CISIS-ICEUTE 2017: 419-427 - 2016
- [j21]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): 1467 (2016) - [c3]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: 126-135 - [c2]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: 1051-1060 - 2015
- [j20]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: 219-231 (2015) - [j19]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): 7062-7083 (2015) - [j18]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): 31069-31082 (2015) - 2014
- [j17]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: 164-170 (2014) - [j16]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): 20382-20399 (2014) - 2013
- [j15]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): 4770-4776 (2013) - 2012
- [j14]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): 755-763 (2012) - [j13]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): 7512-7523 (2012) - [j12]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): 402-408 (2012) - [j11]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): 1901-1913 (2012) - [j10]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): 8895-8911 (2012) - 2011
- [j9]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): 3539-3552 (2011) - [j8]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): 1866-1875 (2011) - [j7]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): 1665-1670 (2011) - [c1]Javier de Andrés, Pedro Lorca, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez:
Solvency Assessment in an Unbalanced Sample. KMIS 2011: 283-286 - 2010
- [j6]Leticia Álvarez Menéndez, Francisco Javier de Cos Juez, Fernando Sánchez Lasheras, José Antonio Álvarez Riesgo:
Artificial neural networks applied to cancer detection in a breast screening programme. Math. Comput. Model. 52(7-8): 983-991 (2010) - [j5]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): 1169-1176 (2010)
2000 – 2009
- 2009
- [j4]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): 1878-1887 (2009) - [j3]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): 680-694 (2009) - [j2]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): 695-704 (2009) - 2008
- [j1]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): 952-967 (2008)
Coauthor Index
P. J. García Nieto
aka: Paulino José García Nieto
aka: Paulino José García Nieto
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last updated on 2024-10-07 21:19 CEST by the dblp team
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