AMTCLAB: A MATLAB®-based program for traveltime analysis and velocity tuning in 2D elliptical anisotropic media. - Juan Luis Fernández Martínez; L. M. Pedruelo González; Esperanza García Gonzalo (Comput. Geosci., 2009)

The PSO family: deduction, stochastic analysis and comparison. - Juan Luis Fernández Martínez; Esperanza García Gonzalo (Swarm Intell., 2009)

Particle Swarm Optimization in High Dimensional Spaces. - Juan Luis Fernández Martínez; Tapan Mukerji; Esperanza García Gonzalo (ANTS Conference, 2010)

Two Algorithms of the Extended PSO Family. - Juan Luis Fernández Martínez; Esperanza García Gonzalo (IJCCI (ICEC), 2010)

PSO Advances and Application to Inverse Problems. - Juan Luis Fernández Martínez; Esperanza García Gonzalo (SEMCCO, 2010)

Particle Swarm Optimization and Inverse Problems. - Esperanza García Gonzalo; Juan Luis Fernández Martínez (SMPS, 2010)

Posterior Sampling using Particle Swarm Optimizers and Model Reduction Techniques. - Juan Luis Fernández Martínez; Esperanza García Gonzalo; Zulima Fernández-Muñiz; Grégoire Mariéthoz; Tapan Mukerji (Int. J. Appl. Evol. Comput., 2010)

Particle Swarm Optimization: A Powerful Family of Stochastic Optimizers. Analysis, Design and Application to Inverse Modelling. - Juan Luis Fernández Martínez; Esperanza García Gonzalo; Saras Saraswathi; Robert L. Jernigan; Andrzej Kloczkowski (ICSI (1), 2011)

Uncertainty assessment for inverse problems in high dimensional spaces using particle swarm optimization and model reduction techniques. - Juan Luis Fernández Martínez; Tapan Mukerji; Esperanza García Gonzalo; Zulima Fernández-Muñiz (Math. Comput. Model., 2011)

Stochastic Stability Analysis of the Linear Continuous and Discrete PSO Models. - Juan Luis Fernández Martínez; Esperanza García Gonzalo (IEEE Trans. Evol. Comput., 2011)

Stochastic stability and numerical Analysis of Two Novel Algorithms of the PSO Family: pp-Gpso and RR-Gpso. - Juan Luis Fernández Martínez; Esperanza García Gonzalo (Int. J. Artif. Intell. Tools, 2012)

Aligned PSO for Optimization of Image Processing Methods Applied to the Face Recognition Problem. - Juan Luis Fernández Martínez; Ana Cernea; Esperanza García Gonzalo; Julián Velasco; Bijaya Ketan Panigrahi (SEMCCO (1), 2013)

Particle swarm optimisation: time for uniformisation. - Juan Luis Fernández Martínez; Esperanza García Gonzalo (Int. J. Comput. Sci. Math., 2013)

Convergence and stochastic stability analysis of particle swarm optimization variants with generic parameter distributions. - Esperanza García Gonzalo; Juan Luis Fernández Martínez (Appl. Math. Comput., 2014)

Four-Points Particle Swarm Optimization Algorithms. - Esperanza García Gonzalo; Juan Luis Fernández Martínez; Ana Cernea (J. Multiple Valued Log. Soft Comput., 2014)

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. - P. J. García Nieto; José Ramón Alonso Fernández; Víctor M. González Suárez; Cristina Díaz Muñiz; Esperanza García Gonzalo; Ricardo Mayo Bayón (Appl. Math. Comput., 2015)

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. - P. J. García Nieto; José Ramón Alonso Fernández; Esperanza García Gonzalo; Cristina Díaz Muñiz; Ricardo Mayo Bayón; Víctor M. González Suárez (Ecol. Informatics, 2015)

Hybrid PSO-SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability. - P. J. García Nieto; Esperanza García Gonzalo; Fernando Sánchez Lasheras; Francisco Javier de Cos Juez (Reliab. Eng. Syst. Saf., 2015)

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. - P. J. García Nieto; Esperanza García Gonzalo; Gerard Arbat; Miquel Duran-Ros; Francisco Ramírez de Cartagena; Jaume Puig-Bargués (Comput. Electron. Agric., 2016)

A hybrid PSO optimized SVM-based model for predicting a successful growth cycle of the Spirulina platensis from raceway experiments data. - P. J. García Nieto; Esperanza García Gonzalo; José Ramón Alonso Fernández; Cristina Díaz Muñiz (J. Comput. Appl. Math., 2016)

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. - Juan Carlos Álvarez Antón; Paulino José García Nieto; Esperanza García Gonzalo; Juan Carlos Viera Pérez; Manuela González Vega; Cecilio Blanco Viejo (IEEE Trans. Veh. Technol., 2016)

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. - P. J. García Nieto; Esperanza García Gonzalo; Josep Bové; Gerard Arbat; Miquel Duran-Ros; Jaume Puig-Bargués (Comput. Electron. Agric., 2017)

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). - P. J. García Nieto; Esperanza García Gonzalo; José Ramón Alonso Fernández; Cristina Díaz Muñiz (J. Comput. Appl. Math., 2017)

A comparison of several machine learning techniques for the centerline segregation prediction in continuous cast steel slabs and evaluation of its performance. - P. J. García Nieto; Esperanza García Gonzalo; Juan Carlos Álvarez Antón; Víctor M. González Suárez; Ricardo Mayo Bayón; Felipe Mateos Martín (J. Comput. Appl. Math., 2018)

Forecast of the higher heating value in biomass torrefaction by means of machine learning techniques. - P. J. García Nieto; Esperanza García Gonzalo; Fernando Sánchez Lasheras; José Pablo Paredes-Sánchez; P. Riesgo Fernández (J. Comput. Appl. Math., 2019)

Modeling of the algal atypical increase in La Barca reservoir using the DE optimized least square support vector machine approach with feature selection. - P. J. García Nieto; Esperanza García Gonzalo; José Ramón Alonso Fernández; Cristina Díaz Muñiz (Math. Comput. Simul., 2019)

Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques. - P. J. García Nieto; Esperanza García Gonzalo; José Pablo Paredes-Sánchez; Antonio Bernardo Sánchez; M. Menéndez Fernández (Neural Comput. Appl., 2019)

Missing Data Imputation for Continuous Variables Based on Multivariate Adaptive Regression Splines. - 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; et al. (HAIS, 2020)

Time Series Analysis for the COMEX Copper Spot Price by Using Support Vector Regression. - Esperanza García Gonzalo; Paulino José García Nieto; Javier Gracia Rodríguez; Fernando Sánchez Lasheras; Gregorio Fidalgo Valverde (SOCO, 2020)

A Multivariate Approach to Time Series Forecasting of Copper Prices with the Help of Multiple Imputation by Chained Equations and Multivariate Adaptive Regression Splines. - Fernando Sánchez Lasheras; Javier Gracia Rodríguez; Paulino José García Nieto; Esperanza García Gonzalo; Gregorio Fidalgo Valverde (SOCO, 2020)

A new predictive model for the outlet turbidity in micro-irrigation sand filters fed with effluents using Gaussian process regression. - P. J. García Nieto; Esperanza García Gonzalo; Jaume Puig-Bargués; C. Solé-Torres; Miquel Duran-Ros; Gerard Arbat (Comput. Electron. Agric., 2020)

Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF-SVM-Based Model. - Paulino José García Nieto; Esperanza García Gonzalo; Fernando Sánchez Lasheras; Antonio Bernardo Sánchez (Int. J. Interact. Multim. Artif. Intell., 2020)

A hybrid DE optimized wavelet kernel SVR-based technique for algal atypical proliferation forecast in La Barca reservoir: A case study. - P. J. García Nieto; Esperanza García Gonzalo; Fernando Sánchez Lasheras; José Ramón Alonso Fernández; Cristina Díaz Muñiz (J. Comput. Appl. Math., 2020)

Time Series Analysis for the COMEX Gold Spot Price Forecasting by Using NARX DE/SVR and DE/GPR Techniques. - Esperanza García Gonzalo; Paulino José García Nieto; Gregorio Fidalgo Valverde; Pedro Riesgo Fernández; Fernando Sánchez Lasheras (SOCO, 2021)

Time Series Forecasting of Gold Prices with the Help of Its Decomposition and Multivariate Adaptive Regression Splines. - Fernando Sánchez Lasheras; Paulino José García Nieto; Esperanza García Gonzalo; Gregorio Fidalgo Valverde; Alicja Krzemien (SOCO, 2021)

Modeling algal atypical proliferation in La Barca reservoir using L-SHADE optimized gradient boosted regression trees: a case study. - Paulino José García Nieto; Esperanza García Gonzalo; José Ramón Alonso Fernández; Cristina Díaz Muñiz (Neural Comput. Appl., 2021)

Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques. - Paulino José García Nieto; Esperanza García Gonzalo; José Pablo Paredes-Sánchez (Neural Comput. Appl., 2021)

A new hybrid model to foretell thermal power efficiency from energy performance certificates at residential dwellings applying a Gaussian process regression. - Paulino José García Nieto; Esperanza García Gonzalo; José Pablo Paredes-Sánchez; Antonio Bernardo Sánchez (Neural Comput. Appl., 2021)

A support vector regression model for time series forecasting of the COMEX copper spot price. - Esperanza García Gonzalo; Paulino José García Nieto; Javier Gracia Rodríguez; Fernando Sánchez Lasheras; Gregorio Fidalgo Valverde (Log. J. IGPL, 2023)

Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and LASSO machine learning techniques. - Juan Carlos Álvarez Antón; P. J. García Nieto; Esperanza García Gonzalo; Manuela González Vega; Cecilio Blanco Viejo (J. Comput. Appl. Math., 2023)

Forecast of the outlet turbidity and filtered volume in different microirrigation filters and filtration media by using machine learning techniques. - P. J. García Nieto; Esperanza García Gonzalo; Gerard Arbat; Miquel Duran-Ros; T. Pujol; Jaume Puig-Bargués (J. Comput. Appl. Math., 2024)