Paulino José García Nieto

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 15

Top Topics

Artificial Neural Networks

Machine Learning

Multivariate Adaptive Regression Splines

Top Venues

Neural Comput. Appl.

Publications

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)
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)
Paulino José García Nieto, Esperanza García Gonzalo, José Pablo Paredes-Sánchez, Antonio Bernardo Sánchez
A new hybrid model to foretell thermal power efficiency from energy performance certificates at residential dwellings applying a Gaussian process regression. Neural Comput. Appl. 33 (12) (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)
Paulino José García Nieto, Esperanza García Gonzalo, José Ramón Alonso Fernández, Cristina Díaz Muñiz
Modeling algal atypical proliferation in La Barca reservoir using L-SHADE optimized gradient boosted regression trees: a case study. Neural Comput. Appl. 33 (13) (2021)
Paulino José García Nieto, Esperanza García Gonzalo, José Pablo Paredes-Sánchez
Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques. Neural Comput. Appl. 33 (24) (2021)
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)
Juan Enrique Sánchez Lasheras, Carmen González-Donquiles, Paulino José García Nieto, José Juan Jiménez Moleon, Dolores Salas-Trejo, Sergio Luis Suárez Gómez, Antonio J. Molina de la Torre, Joaquín González-Nuevo, Laura Bonavera, Jorge Carballido-Landeira, Francisco Javier de Cos Juez
A methodology for detecting relevant single nucleotide polymorphism in prostate cancer with multivariate adaptive regression splines and backpropagation artificial neural networks. Neural Comput. Appl. 32 (5) (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)
Javier Martinez, Carla Iglesias Comesaña, Paulino José García Nieto
Review: machine learning techniques applied to cybersecurity. Int. J. Mach. Learn. Cybern. 10 (10) (2019)
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)
Juan Carlos Álvarez Antón, Paulino José García Nieto, Esperanza García Gonzalo, Juan Carlos Viera Pérez, Manuela González Vega, Cecilio Blanco Viejo
A New Predictive Model for the State-of-Charge of a High-Power Lithium-Ion Cell Based on a PSO-Optimized Multivariate Adaptive Regression Spline Approach. IEEE Trans. Veh. Technol. 65 (6) (2016)
Luis Bayón, Paulino José García Nieto, Raquel García-Rubio, José María Grau, M. M. Ruiz, P. M. Suárez
The operation of infimal/supremal convolution in mathematical economics. Int. J. Comput. Math. 93 (5) (2016)
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)
Paulino José García Nieto
Numerical simulation of scavenging of an urban aerosol by filtration taking into account the presence of coagulation, condensation, and gravitational settling. J. Comput. Methods Sci. Eng. 5 (1) (2005)
Juan José del Coz Díaz, Paulino José García Nieto, Francisco-José Suárez-Domínguez
Numerical Analysis of the Behaviour of Tooth Intrarradial Posts by the Finite Element Method. J. Math. Model. Algorithms 4 (3) (2005)