Fernando Sánchez Lasheras (ORCID: 0000-0002-7052-2811)
Fernando Sánchez Lasheras (ORCID: 0000-0002-7052-2811)
Universidad de Oviedo - Grupo Modelización Matemática Aplicada
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Hybrid PSO–SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability
PJG Nieto, E García-Gonzalo, FS Lasheras, FJ de Cos Juez
Reliability Engineering & System Safety 138, 219-231, 2015
Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS)
J De Andrés, P Lorca, FJ de Cos Juez, F Sánchez-Lasheras
Expert Systems with Applications 38 (3), 1866-1875, 2011
A hybrid ARIMA–SVM model for the study of the remaining useful life of aircraft engines
C Ordóñez, FS Lasheras, J Roca-Pardinas, FJ de Cos Juez
Journal of Computational and Applied Mathematics 346, 184-191, 2019
Battery state-of-charge estimator using the SVM technique
JCÁ Antón, PJG Nieto, FJ de Cos Juez, FS Lasheras, MG Vega, ...
Applied Mathematical Modelling 37 (9), 6244-6253, 2013
Prediction of serious complications in patients with seemingly stable febrile neutropenia: validation of the Clinical Index of Stable Febrile Neutropenia in a prospective …
A Carmona-Bayonas, P Jiménez-Fonseca, J Virizuela Echaburu, ...
Journal of Clinical Oncology 33 (5), 465-471, 2015
PM10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study
PJG Nieto, FS Lasheras, E García-Gonzalo, FJ de Cos Juez
Science of the Total Environment 621, 753-761, 2018
Forecasting the COMEX copper spot price by means of neural networks and ARIMA models
FS Lasheras, FJ de Cos Juez, AS Sánchez, A Krzemień, PR Fernández
Resources Policy 45, 37-43, 2015
Battery state-of-charge estimator using the MARS technique
JCÁ Antón, PJG Nieto, FJ de Cos Juez, FSS Lasheras, CB Viejo, ...
IEEE Transactions on Power Electronics 28 (8), 3798-3805, 2012
Prediction of work-related accidents according to working conditions using support vector machines
AS Sánchez, PR Fernández, FS Lasheras, FJ de Cos Juez, PJG Nieto
Applied Mathematics and Computation 218 (7), 3539-3552, 2011
Missing data imputation of solar radiation data under different atmospheric conditions
CC Turrado, MCM López, FS Lasheras, BAR Gómez, JLC Rollé, ...
Sensors 14 (11), 20382-20399, 2014
A 25-year follow-up of patients admitted to methadone treatment for the first time: mortality and gender differences
L Jimenez-Treviño, PA Saiz, MP García-Portilla, EM Díaz-Mesa, ...
Addictive behaviors 36 (12), 1184-1190, 2011
Artificial neural networks applied to cancer detection in a breast screening programme
LÁ Menéndez, FJ de Cos Juez, FS Lasheras, JAÁ Riesgo
Mathematical and Computer Modelling 52 (7-8), 983-991, 2010
A hybrid device for the solution of sampling bias problems in the forecasting of firms’ bankruptcy
F Sánchez-Lasheras, J De Andrés, P Lorca, FJ de Cos Juez
Expert Systems with Applications 39 (8), 7512-7523, 2012
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
FS Lasheras, JAV Vilán, PJG Nieto, JJ del Coz Díaz
Mathematical and computer modelling 52 (7-8), 1169-1176, 2010
Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions
CO Galán, FS Lasheras, FJ de Cos Juez, AB Sánchez
Journal of Computational and Applied Mathematics 311, 704-717, 2017
Biomechanical consequences of the elastic properties of dental implant alloys on the supporting bone: finite element analysis
E Pérez-Pevida, A Brizuela-Velasco, D Chávarri-Prado, ...
BioMed Research International 2016, 2016
Open-loop tomography with artificial neural networks on CANARY: on-sky results
J Osborn, D Guzmán, FJ de Cos Juez, AG Basden, TJ Morris, E Gendron, ...
Monthly Notices of the Royal Astronomical Society 441 (3), 2508-2514, 2014
Rapid cost estimation of metallic components for the aerospace industry
J de Cos, F Sanchez, F Ortega, V Montequin
International Journal of Production Economics 112 (1), 470-482, 2008
Forecast of the higher heating value in biomass torrefaction by means of machine learning techniques
PJG Nieto, E García–Gonzalo, FS Lasheras, JP Paredes–Sánchez, ...
Journal of Computational and Applied Mathematics 357, 284-301, 2019
Hybrid modelling based on support vector regression with genetic algorithms in forecasting the cyanotoxins presence in the Trasona reservoir (Northern Spain)
PJG Nieto, JRA Fernández, FJ de Cos Juez, FS Lasheras, CD Muñiz
Environmental research 122, 1-10, 2013
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