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ORCIDEsperanza García Gonzalo
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2020 – today
- 2024
[j30]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: 115606 (2024)- 2023
- [j29]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) - [j28]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: 115305 (2023) - 2021
- [j27]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): 6627-6640 (2021) - [j26]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): 7821-7838 (2021) - [j25]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): 17131-17145 (2021) - [c11]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 - [c10]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
- [j24]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: 105292 (2020) - [j23]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) - [j22]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) - [c9]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 - [c8]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 - [c7]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
- [j21]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) - [j20]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: 461-480 (2019) - [j19]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): 8823-8836 (2019) - 2018
- [j18]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: 877-895 (2018) - 2017
- [j17]P. J. García Nieto, Esperanza García Gonzalo, Josep 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: 65-74 (2017) - [j16]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: 587-602 (2017) - 2016
- [j15]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: 74-80 (2016) - [j14]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: 293-303 (2016) - [j13]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): 4197-4208 (2016) - 2015
- [j12]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: 170-187 (2015) - [j11]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: 49-59 (2015) - [j10]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) - 2014
- [j9]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: 286-302 (2014) - [j8]Esperanza García Gonzalo, Juan Luis Fernández Martínez, Ana Cernea:
Four-Points Particle Swarm Optimization Algorithms. J. Multiple Valued Log. Soft Comput. 22(3): 239-266 (2014) - 2013
- [j7]Juan Luis Fernández Martínez, Esperanza García Gonzalo:
Particle swarm optimisation: time for uniformisation. Int. J. Comput. Sci. Math. 4(1): 16-33 (2013) - [c6]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: 642-651 - 2012
- [j6]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) - 2011
- [j5]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): 2889-2899 (2011) - [j4]Juan Luis Fernández Martínez, Esperanza García Gonzalo:
Stochastic Stability Analysis of the Linear Continuous and Discrete PSO Models. IEEE Trans. Evol. Comput. 15(3): 405-423 (2011) - [c5]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: 1-8 - 2010
- [j3]Juan Luis Fernández Martínez, Esperanza García Gonzalo, Zulima Fernández-Muñiz, Grégoire Mariéthoz, Tapan Mukerji:
Posterior Sampling using Particle Swarm Optimizers and Model Reduction Techniques. Int. J. Appl. Evol. Comput. 1(3): 27-48 (2010) - [c4]Juan Luis Fernández Martínez, Tapan Mukerji, Esperanza García Gonzalo:
Particle Swarm Optimization in High Dimensional Spaces. ANTS Conference 2010: 496-503 - [c3]Juan Luis Fernández Martínez, Esperanza García Gonzalo:
Two Algorithms of the Extended PSO Family. IJCCI (ICEC) 2010: 237-242 - [c2]Juan Luis Fernández Martínez, Esperanza García Gonzalo:
PSO Advances and Application to Inverse Problems. SEMCCO 2010: 147-154 - [c1]Esperanza García Gonzalo, Juan Luis Fernández Martínez:
Particle Swarm Optimization and Inverse Problems. SMPS 2010: 289-296
2000 – 2009
- 2009
- [j2]Juan Luis Fernández Martínez, L. M. Pedruelo González, Esperanza García Gonzalo:
AMTCLAB: A MATLAB®-based program for traveltime analysis and velocity tuning in 2D elliptical anisotropic media. Comput. Geosci. 35(10): 2057-2064 (2009) - [j1]Juan Luis Fernández Martínez, Esperanza García Gonzalo:
The PSO family: deduction, stochastic analysis and comparison. Swarm Intell. 3(4): 245-273 (2009)
Coauthor Index
aka: Paulino José García Nieto
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last updated on 2024-06-10 21:25 CEST by the dblp team
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