Esperanza García Gonzalo

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 26

Top Topics

Multivariate Adaptive Regression Splines

Artificial Bee Colony Algorithm

Top Venues

J. Comput. Appl. Math.

Neural Comput. Appl.

Comput. Electron. Agric.

Publications

P. J. García Nieto, Esperanza García Gonzalo, Gerard Arbat, Miquel Duran-Ros, T. Pujol, Jaume Puig-Bargués
Forecast of the outlet turbidity and filtered volume in different microirrigation filters and filtration media by using machine learning techniques. J. Comput. Appl. Math. 439 (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)
Juan Carlos Álvarez Antón, P. J. García Nieto, Esperanza García Gonzalo, Manuela González Vega, Cecilio Blanco Viejo
Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and LASSO machine learning techniques. J. Comput. Appl. Math. 433 (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)
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)
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)
P. J. García Nieto, Esperanza García Gonzalo, Jaume Puig-Bargués, C. Solé-Torres, Miquel Duran-Ros, Gerard Arbat
A new predictive model for the outlet turbidity in micro-irrigation sand filters fed with effluents using Gaussian process regression. Comput. Electron. Agric. 170 (2020)
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)
P. J. García Nieto, Esperanza García Gonzalo, José Ramón Alonso Fernández, Cristina Díaz Muñiz
Modeling of the algal atypical increase in La Barca reservoir using the DE optimized least square support vector machine approach with feature selection. Math. Comput. Simul. 166 (2019)
P. J. García Nieto, Esperanza García Gonzalo, José Pablo Paredes-Sánchez, Antonio Bernardo Sánchez, M. Menéndez Fernández
Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques. Neural Comput. Appl. 31 (12) (2019)
P. J. García Nieto, Esperanza García Gonzalo, Juan Carlos Álvarez Antón, Víctor M. González Suárez, Ricardo Mayo Bayón, Felipe Mateos Martín
A comparison of several machine learning techniques for the centerline segregation prediction in continuous cast steel slabs and evaluation of its performance. J. Comput. Appl. Math. 330 (2018)
P. J. García Nieto, Esperanza García Gonzalo, José Ramón Alonso Fernández, Cristina Díaz Muñiz
A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain). J. Comput. Appl. Math. 309 (2017)
P. J. García Nieto, Esperanza García Gonzalo, J. Bové, Gerard Arbat, Miquel Duran-Ros, Jaume Puig-Bargués
Modeling pressure drop produced by different filtering media in microirrigation sand filters using the hybrid ABC-MARS-based approach, MLP neural network and M5 model tree. Comput. Electron. Agric. 139 (2017)
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)
P. J. García Nieto, Esperanza García Gonzalo, José Ramón Alonso Fernández, Cristina Díaz Muñiz
A hybrid PSO optimized SVM-based model for predicting a successful growth cycle of the Spirulina platensis from raceway experiments data. J. Comput. Appl. Math. 291 (2016)
P. J. García Nieto, Esperanza García Gonzalo, Gerard Arbat, Miquel Duran-Ros, Francisco Ramírez de Cartagena, Jaume Puig-Bargués
A new predictive model for the filtered volume and outlet parameters in micro-irrigation sand filters fed with effluents using the hybrid PSO-SVM-based approach. Comput. Electron. Agric. 125 (2016)
P. J. García Nieto, José Ramón Alonso Fernández, Esperanza García Gonzalo, Cristina Díaz Muñiz, Ricardo Mayo Bayón, Víctor M. González Suárez
A new predictive model for the cyanotoxin content from experimental cyanobacteria concentrations in a reservoir based on the ABC optimized support vector machine approach: A case study in Northern Spain. Ecol. Informatics 30 (2015)
P. J. García Nieto, José Ramón Alonso Fernández, Víctor M. González Suárez, Cristina Díaz Muñiz, Esperanza García Gonzalo, Ricardo Mayo Bayón
A hybrid PSO optimized SVM-based method for predicting of the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir: A case study in Northern Spain. Appl. Math. Comput. 260 (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)
Esperanza García Gonzalo, Juan Luis Fernández Martínez
Convergence and stochastic stability analysis of particle swarm optimization variants with generic parameter distributions. Appl. Math. Comput. 249 (2014)
Esperanza García Gonzalo, Juan Luis Fernández Martínez, Ana Cernea
Four-Points Particle Swarm Optimization Algorithms. J. Multiple Valued Log. Soft Comput. 22 (3) (2014)
Juan Luis Fernández Martínez, Esperanza García Gonzalo
Particle swarm optimisation: time for uniformisation. Int. J. Comput. Sci. Math. 4 (1) (2013)
Juan Luis Fernández Martínez, Ana Cernea, Esperanza García Gonzalo, Julián Velasco, Bijaya Ketan Panigrahi
Aligned PSO for Optimization of Image Processing Methods Applied to the Face Recognition Problem. SEMCCO (1) (2013)
Juan Luis Fernández Martínez, Esperanza García Gonzalo
Stochastic stability and numerical Analysis of Two Novel Algorithms of the PSO Family: pp-Gpso and RR-Gpso. Int. J. Artif. Intell. Tools 21 (3) (2012)
Juan Luis Fernández Martínez, Esperanza García Gonzalo, Saras Saraswathi, Robert L. Jernigan, Andrzej Kloczkowski
Particle Swarm Optimization: A Powerful Family of Stochastic Optimizers. Analysis, Design and Application to Inverse Modelling. ICSI (1) (2011)
Juan Luis Fernández Martínez, Esperanza García Gonzalo
Stochastic Stability Analysis of the Linear Continuous and Discrete PSO Models. IEEE Trans. Evol. Comput. 15 (3) (2011)
Juan Luis Fernández Martínez, Tapan Mukerji, Esperanza García Gonzalo, Zulima Fernández-Muñiz
Uncertainty assessment for inverse problems in high dimensional spaces using particle swarm optimization and model reduction techniques. Math. Comput. Model. 54 (11-12) (2011)
Juan Luis Fernández Martínez, Esperanza García Gonzalo
Two Algorithms of the Extended PSO Family. IJCCI (ICEC) (2010)
Juan Luis Fernández Martínez, Esperanza García Gonzalo, Zulima Fernández-Muñiz, Gregoire Mariethoz, Tapan Mukerji
Posterior Sampling using Particle Swarm Optimizers and Model Reduction Techniques. Int. J. Appl. Evol. Comput. 1 (3) (2010)
Juan Luis Fernández Martínez, Tapan Mukerji, Esperanza García Gonzalo
Particle Swarm Optimization in High Dimensional Spaces. ANTS Conference (2010)
Juan Luis Fernández Martínez, Esperanza García Gonzalo
PSO Advances and Application to Inverse Problems. SEMCCO (2010)
Esperanza García Gonzalo, Juan Luis Fernández Martínez
Particle Swarm Optimization and Inverse Problems. SMPS (2010)
Juan Luis Fernández Martínez, Esperanza García Gonzalo
The PSO family: deduction, stochastic analysis and comparison. Swarm Intell. 3 (4) (2009)
Juan Luis Fernández Martínez, L. M. Pedruelo González, Esperanza García Gonzalo
-based program for traveltime analysis and velocity tuning in 2D elliptical anisotropic media. Comput. Geosci. 35 (10) (2009)